def riqikuangxuanxiang(self,zujian:QLineEdit,jiemian:QWidget):
# zujian.setInputMask("0000-00-00") #格式限制
# for i in range(4):
# name = zujian.objectName() + str(i)
# # locals()['v' + str(i)] = i
# print(name)
# self.show_action = zujian.objectName()
# self.rili = jiemian.objectName()
# print(self.show_action)
# print(self.rili)
zj = zujian.objectName()
jm = jiemian.objectName()
self.show_action = locals() #为了生成多个变量
self.rili = locals()
self.show_action[zj] = QAction(self) #创建控件
self.show_action[zj].setIcon(QIcon('ICO/png/1234864.png')) #设置控件图标
zujian.addAction(self.show_action[zj], QLineEdit.TrailingPosition) #控件放置位置
self.show_action[zj].triggered.connect(self.openCalendar) # 信号和槽连接
self.rili[jm] = QCalendarWidget(jiemian)
self.rili[jm].selectedDate() # 获取选中日期，默认当前系统时间
self.rili[jm].setGridVisible(True) # 是否显示日期之间的网格
self.rili[jm].setGeometry(zujian.x(),zujian.y()+zujian.height()+62, 280, 200) #日历控件位置
self.rili[jm].hide() # 隐藏日期控件
# date = self.rili.selectedDate()#获取选中日期，默认当前系统时间
self.rili[jm].clicked[QDate].connect(self.showDate)#clicked[参数]，即定义showDate是传入的参数类型设置
self.rili = self.rili[jm]
class SearchBar(QWidget):
QueryLaunched = Signal(str)
StopPressed = Signal()
def __init__(self, parent=None):
super().__init__(parent)
self._query_edit = QLineEdit()
self._query_edit.setClearButtonEnabled(True)
self._query_edit.setPlaceholderText("Type you query here")
self._query_edit.returnPressed.connect(self._HandleReturnPressed)
self._query_edit.addAction(QIcon(icons.SEARCH),
QLineEdit.LeadingPosition)
self._kill_button = QToolButton()
self._kill_button.setIcon(QIcon(icons.STOP))
self._kill_button.setAutoRaise(True)
self._kill_button.setMinimumSize(31, 31)
self._kill_button.setEnabled(False)
self._kill_button.clicked.connect(self.StopPressed)
layout = QHBoxLayout()
layout.addWidget(self._kill_button)
layout.addWidget(self._query_edit)
layout.setContentsMargins(0, 0, 0, 0)
self.setLayout(layout)
self.setFocusProxy(self._query_edit)
def Clear(self):
self._query_edit.clear()
def SetStopEnabled(self, bool_):
self._kill_button.setEnabled(bool_)
def SetQueryEditEnabled(self, bool_):
self._query_edit.setEnabled(bool_)
def SetQuery(self, query):
self._query_edit.setText(query)
def LaunchQuery(self, query):
self._query_edit.setText(query)
self._HandleReturnPressed()
def _HandleReturnPressed(self):
query = " ".join(self._query_edit.text().split())
if query == "":
return
self.QueryLaunched.emit(query)
def riqikuangxuanxiang(self, zujian: QLineEdit):
# show_signal = pyqtSignal() # 点击下拉框发送信号
# zujian.curDateTime.toString('yyyy/MM/dd')
self.show_action = QAction(self)
self.show_action.setIcon(QIcon('ICO/png/1234864.png'))
zujian.addAction(self.show_action, QLineEdit.TrailingPosition)
self.show_action.triggered.connect(self.openCalendar) # 信号和槽连接
self.rili = QCalendarWidget(self)
self.rili.setGridVisible(True) # 是否显示日期之间的网格
self.rili.setGeometry(zujian.x(), 140, 280, 200) #日历控件位置
self.rili.hide() # 隐藏日期控件
# date = self.rili.selectedDate()#获取选中日期，默认当前系统时间
self.rili.clicked[QDate].connect(
self.showDate) #clicked[参数]，即定义showDate是传入的参数类型设置
class View(QMainWindow):
def __init__(self, model, controller):
super().__init__()
self._model = model
self._controller = controller
self.segmentcursor = False
self.togglecolors = {"#1f77b4": "m", "m": "#1f77b4"}
#################################################################
# define GUI layout and connect input widgets to external slots #
#################################################################
self.setWindowTitle("biopeaks")
self.setGeometry(50, 50, 1750, 750)
self.setWindowIcon(QIcon(":/python_icon.png"))
# figure0 for signal
self.figure0 = Figure()
self.canvas0 = FigureCanvas(self.figure0)
# Enforce minimum height, otherwise resizing with self.splitter causes
# mpl to throw an error because figure is resized to height 0. The
# widget can still be fully collapsed with self.splitter-
self.canvas0.setMinimumHeight(1) # in pixels
self.ax00 = self.figure0.add_subplot(1, 1, 1)
self.ax00.set_frame_on(False)
self.figure0.subplots_adjust(left=0.04, right=0.98, bottom=0.25)
self.line00 = None
self.scat = None
self.segmentspan = None
# figure1 for marker
self.figure1 = Figure()
self.canvas1 = FigureCanvas(self.figure1)
self.canvas1.setMinimumHeight(1)
self.ax10 = self.figure1.add_subplot(1, 1, 1, sharex=self.ax00)
self.ax10.get_xaxis().set_visible(False)
self.ax10.set_frame_on(False)
self.figure1.subplots_adjust(left=0.04, right=0.98)
self.line10 = None
# figure2 for statistics
self.figure2 = Figure()
self.canvas2 = FigureCanvas(self.figure2)
self.canvas2.setMinimumHeight(1)
self.ax20 = self.figure2.add_subplot(3, 1, 1, sharex=self.ax00)
self.ax20.get_xaxis().set_visible(False)
self.ax20.set_frame_on(False)
self.line20 = None
self.ax21 = self.figure2.add_subplot(3, 1, 2, sharex=self.ax00)
self.ax21.get_xaxis().set_visible(False)
self.ax21.set_frame_on(False)
self.line21 = None
self.ax22 = self.figure2.add_subplot(3, 1, 3, sharex=self.ax00)
self.ax22.get_xaxis().set_visible(False)
self.ax22.set_frame_on(False)
self.line22 = None
self.figure2.subplots_adjust(left=0.04, right=0.98)
# navigation bar
self.navitools = CustomNavigationToolbar(self.canvas0, self)
# peak editing
self.editcheckbox = QCheckBox("editable", self)
self.editcheckbox.stateChanged.connect(self._model.set_peakseditable)
# peak saving batch
self.savecheckbox = QCheckBox("save during batch processing", self)
self.savecheckbox.stateChanged.connect(self._model.set_savebatchpeaks)
# peak auto-correction batch
self.correctcheckbox = QCheckBox("correct during batch processing",
self)
self.correctcheckbox.stateChanged.connect(
self._model.set_correctbatchpeaks)
# selecting stats for saving
self.periodcheckbox = QCheckBox("period", self)
self.periodcheckbox.stateChanged.connect(
lambda: self.select_stats("period"))
self.ratecheckbox = QCheckBox("rate", self)
self.ratecheckbox.stateChanged.connect(
lambda: self.select_stats("rate"))
self.tidalampcheckbox = QCheckBox("tidal amplitude", self)
self.tidalampcheckbox.stateChanged.connect(
lambda: self.select_stats("tidalamp"))
# channel selection
self.sigchanmenulabel = QLabel("biosignal")
self.sigchanmenu = QComboBox(self)
self.sigchanmenu.addItem("A1")
self.sigchanmenu.addItem("A2")
self.sigchanmenu.addItem("A3")
self.sigchanmenu.addItem("A4")
self.sigchanmenu.addItem("A5")
self.sigchanmenu.addItem("A6")
self.sigchanmenu.currentTextChanged.connect(self._model.set_signalchan)
# initialize with default value
self._model.set_signalchan(self.sigchanmenu.currentText())
self.markerchanmenulabel = QLabel("marker")
self.markerchanmenu = QComboBox(self)
self.markerchanmenu.addItem("none")
self.markerchanmenu.addItem("I1")
self.markerchanmenu.addItem("I2")
self.markerchanmenu.addItem("A1")
self.markerchanmenu.addItem("A2")
self.markerchanmenu.addItem("A3")
self.markerchanmenu.addItem("A4")
self.markerchanmenu.addItem("A5")
self.markerchanmenu.addItem("A6")
self.markerchanmenu.currentTextChanged.connect(
self._model.set_markerchan)
# initialize with default value
self._model.set_markerchan(self.markerchanmenu.currentText())
# processing mode (batch or single file)
self.batchmenulabel = QLabel("mode")
self.batchmenu = QComboBox(self)
self.batchmenu.addItem("single file")
self.batchmenu.addItem("multiple files")
self.batchmenu.currentTextChanged.connect(self._model.set_batchmode)
self.batchmenu.currentTextChanged.connect(self.toggle_options)
# initialize with default value
self._model.set_batchmode(self.batchmenu.currentText())
self.toggle_options(self.batchmenu.currentText())
# modality selection
self.modmenulabel = QLabel("modality")
self.modmenu = QComboBox(self)
self.modmenu.addItem("ECG")
self.modmenu.addItem("PPG")
self.modmenu.addItem("RESP")
self.modmenu.currentTextChanged.connect(self._model.set_modality)
self.modmenu.currentTextChanged.connect(self.toggle_options)
# initialize with default value
self._model.set_modality(self.modmenu.currentText())
self.toggle_options(self.modmenu.currentText())
# segment selection; this widget can be openend / set visible from
# the menu and closed from within itself (see mapping of segmentermap);
# it provides utilities to select a segment from the signal
self.segmentermap = QSignalMapper(self)
self.segmenter = QDockWidget("select a segment", self)
# disable closing such that widget can only be closed by confirming
# selection or custom button
self.segmenter.setFeatures(QDockWidget.NoDockWidgetFeatures)
# Limit number of decimals to four.
regex = QRegExp("[0-9]*\.?[0-9]{4}")
validator = QRegExpValidator(regex)
self.startlabel = QLabel("start")
self.startedit = QLineEdit()
self.startedit.setValidator(validator)
self.endlabel = QLabel("end")
self.endedit = QLineEdit()
self.endedit.setValidator(validator)
segmentfromcursor = QAction(QIcon(":/mouse_icon.png"),
"select with mouse", self)
segmentfromcursor.triggered.connect(self.enable_segmentedit)
self.startedit.addAction(segmentfromcursor, QLineEdit.TrailingPosition)
self.endedit.addAction(segmentfromcursor, QLineEdit.TrailingPosition)
self.previewedit = QPushButton("preview segment")
lambdafn = lambda: self._model.set_segment(
[self.startedit.text(), self.endedit.text()])
self.previewedit.clicked.connect(lambdafn)
self.confirmedit = QPushButton("confirm segment")
self.confirmedit.clicked.connect(self._controller.segment_signal)
self.confirmedit.clicked.connect(self.segmentermap.map)
self.segmentermap.setMapping(self.confirmedit, 0)
self.abortedit = QPushButton("abort segmentation")
self.abortedit.clicked.connect(self.segmentermap.map)
# reset the segment to None
self.segmentermap.setMapping(self.abortedit, 2)
self.segmenterlayout = QFormLayout()
self.segmenterlayout.addRow(self.startlabel, self.startedit)
self.segmenterlayout.addRow(self.endlabel, self.endedit)
self.segmenterlayout.addRow(self.previewedit)
self.segmenterlayout.addRow(self.confirmedit)
self.segmenterlayout.addRow(self.abortedit)
self.segmenterwidget = QWidget()
self.segmenterwidget.setLayout(self.segmenterlayout)
self.segmenter.setWidget(self.segmenterwidget)
self.segmenter.setVisible(False)
self.segmenter.setAllowedAreas(Qt.RightDockWidgetArea)
self.addDockWidget(Qt.RightDockWidgetArea, self.segmenter)
# Set up dialog to gather user input for custom files.
regex = QRegExp("[1-9][0-9]")
validator = QRegExpValidator(regex)
self.signallabel = QLabel("biosignal column")
self.signaledit = QLineEdit()
self.signaledit.setValidator(validator)
self.markerlabel = QLabel("marker column")
self.markeredit = QLineEdit()
self.markeredit.setValidator(validator)
regex = QRegExp("[0-9]{2}")
validator = QRegExpValidator(regex)
self.headerrowslabel = QLabel("number of header rows")
self.headerrowsedit = QLineEdit()
self.headerrowsedit.setValidator(validator)
regex = QRegExp("[0-9]{5}")
validator = QRegExpValidator(regex)
self.sfreqlabel = QLabel("sampling rate")
self.sfreqedit = QLineEdit()
self.sfreqedit.setValidator(validator)
self.separatorlabel = QLabel("column separator")
self.separatormenu = QComboBox(self)
self.separatormenu.addItem("comma")
self.separatormenu.addItem("tab")
self.separatormenu.addItem("colon")
self.separatormenu.addItem("space")
self.continuecustomfile = QPushButton("continue loading file")
self.continuecustomfile.clicked.connect(self.set_customheader)
self.customfiledialog = QDialog()
self.customfiledialog.setWindowTitle("custom file info")
self.customfiledialog.setWindowIcon(QIcon(":/file_icon.png"))
self.customfiledialog.setWindowFlags(
Qt.WindowCloseButtonHint
) # remove help button by only setting close button
self.customfilelayout = QFormLayout()
self.customfilelayout.addRow(self.signallabel, self.signaledit)
self.customfilelayout.addRow(self.markerlabel, self.markeredit)
self.customfilelayout.addRow(self.separatorlabel, self.separatormenu)
self.customfilelayout.addRow(self.headerrowslabel, self.headerrowsedit)
self.customfilelayout.addRow(self.sfreqlabel, self.sfreqedit)
self.customfilelayout.addRow(self.continuecustomfile)
self.customfiledialog.setLayout(self.customfilelayout)
# set up menubar
menubar = self.menuBar()
# signal menu
signalmenu = menubar.addMenu("biosignal")
openSignal = signalmenu.addMenu("load")
openEDF = QAction("EDF", self)
openEDF.triggered.connect(lambda: self._model.set_filetype("EDF"))
openEDF.triggered.connect(self._controller.get_fpaths)
openSignal.addAction(openEDF)
openOpenSignals = QAction("OpenSignals", self)
openOpenSignals.triggered.connect(
lambda: self._model.set_filetype("OpenSignals"))
openOpenSignals.triggered.connect(self._controller.get_fpaths)
openSignal.addAction(openOpenSignals)
openCustom = QAction("Custom", self)
openCustom.triggered.connect(
lambda: self._model.set_filetype("Custom"))
openCustom.triggered.connect(lambda: self.customfiledialog.exec_())
openSignal.addAction(openCustom)
segmentSignal = QAction("select segment", self)
segmentSignal.triggered.connect(self.segmentermap.map)
self.segmentermap.setMapping(segmentSignal, 1)
signalmenu.addAction(segmentSignal)
self.segmentermap.mapped.connect(self.toggle_segmenter)
saveSignal = QAction("save", self)
saveSignal.triggered.connect(self._controller.get_wpathsignal)
signalmenu.addAction(saveSignal)
# peak menu
peakmenu = menubar.addMenu("peaks")
findPeaks = QAction("find", self)
findPeaks.triggered.connect(self._controller.find_peaks)
peakmenu.addAction(findPeaks)
autocorrectPeaks = QAction("autocorrect", self)
autocorrectPeaks.triggered.connect(self._controller.autocorrect_peaks)
peakmenu.addAction(autocorrectPeaks)
savePeaks = QAction("save", self)
savePeaks.triggered.connect(self._controller.get_wpathpeaks)
peakmenu.addAction(savePeaks)
loadPeaks = QAction("load", self)
loadPeaks.triggered.connect(self._controller.get_rpathpeaks)
peakmenu.addAction(loadPeaks)
# stats menu
statsmenu = menubar.addMenu("statistics")
calculateStats = QAction("calculate", self)
calculateStats.triggered.connect(self._controller.calculate_stats)
statsmenu.addAction(calculateStats)
saveStats = QAction("save", self)
saveStats.triggered.connect(self._controller.get_wpathstats)
statsmenu.addAction(saveStats)
# set up status bar to display error messages and current file path
self.statusBar = QStatusBar()
self.setStatusBar(self.statusBar)
self.progressBar = QProgressBar(self)
self.progressBar.setRange(0, 1)
self.statusBar.addPermanentWidget(self.progressBar)
self.currentFile = QLabel()
self.statusBar.addPermanentWidget(self.currentFile)
# set up the central widget containing the plot and navigationtoolbar
self.centwidget = QWidget()
self.setCentralWidget(self.centwidget)
# connect canvas0 to keyboard and mouse input for peak editing;
# only widgets (e.g. canvas) that currently have focus capture
# keyboard input: "You must enable keyboard focus for a widget if
# it processes keyboard events."
self.canvas0.setFocusPolicy(Qt.ClickFocus)
self.canvas0.setFocus()
self.canvas0.mpl_connect("key_press_event",
self._controller.edit_peaks)
self.canvas0.mpl_connect("button_press_event", self.get_xcursor)
# arrange the three figure canvases in splitter object
self.splitter = QSplitter(Qt.Vertical)
# setting opaque resizing to false is important, since resizing gets
# very slow otherwise once axes are populated
self.splitter.setOpaqueResize(False)
self.splitter.addWidget(self.canvas0)
self.splitter.addWidget(self.canvas1)
self.splitter.addWidget(self.canvas2)
self.splitter.setChildrenCollapsible(False)
# define GUI layout
self.vlayout0 = QVBoxLayout(self.centwidget)
self.vlayout1 = QVBoxLayout()
self.vlayoutA = QFormLayout()
self.vlayoutB = QFormLayout()
self.vlayoutC = QVBoxLayout()
self.vlayoutD = QVBoxLayout()
self.hlayout0 = QHBoxLayout()
self.optionsgroupA = QGroupBox("processing options")
self.vlayoutA.addRow(self.modmenulabel, self.modmenu)
self.vlayoutA.addRow(self.batchmenulabel, self.batchmenu)
self.optionsgroupA.setLayout(self.vlayoutA)
self.optionsgroupB = QGroupBox("channels")
self.vlayoutB.addRow(self.sigchanmenulabel, self.sigchanmenu)
self.vlayoutB.addRow(self.markerchanmenulabel, self.markerchanmenu)
self.optionsgroupB.setLayout(self.vlayoutB)
self.optionsgroupC = QGroupBox("peaks")
self.vlayoutC.addWidget(self.editcheckbox)
self.vlayoutC.addWidget(self.savecheckbox)
self.vlayoutC.addWidget(self.correctcheckbox)
self.optionsgroupC.setLayout(self.vlayoutC)
self.optionsgroupD = QGroupBox("select statistics for saving")
self.vlayoutD.addWidget(self.periodcheckbox)
self.vlayoutD.addWidget(self.ratecheckbox)
self.vlayoutD.addWidget(self.tidalampcheckbox)
self.optionsgroupD.setLayout(self.vlayoutD)
self.vlayout1.addWidget(self.optionsgroupA)
self.vlayout1.addWidget(self.optionsgroupB)
self.vlayout1.addWidget(self.optionsgroupC)
self.vlayout1.addWidget(self.optionsgroupD)
self.optionsgroupwidget = QWidget()
self.optionsgroupwidget.setLayout(self.vlayout1)
self.optionsgroup = QDockWidget("configurations", self)
self.optionsgroup.setAllowedAreas(Qt.LeftDockWidgetArea)
self.toggleoptionsgroup = self.optionsgroup.toggleViewAction()
self.toggleoptionsgroup.setText("show/hide configurations")
menubar.addAction(self.toggleoptionsgroup)
self.optionsgroup.setWidget(self.optionsgroupwidget)
self.addDockWidget(Qt.LeftDockWidgetArea, self.optionsgroup)
self.vlayout0.addWidget(self.splitter)
self.hlayout0.addWidget(self.navitools)
self.vlayout0.addLayout(self.hlayout0)
##############################################
# connect output widgets to external signals #
##############################################
self._model.signal_changed.connect(self.plot_signal)
self._model.marker_changed.connect(self.plot_marker)
self._model.peaks_changed.connect(self.plot_peaks)
self._model.period_changed.connect(self.plot_period)
self._model.rate_changed.connect(self.plot_rate)
self._model.tidalamp_changed.connect(self.plot_tidalamp)
self._model.path_changed.connect(self.display_path)
self._model.segment_changed.connect(self.plot_segment)
self._model.status_changed.connect(self.display_status)
self._model.progress_changed.connect(self.display_progress)
self._model.model_reset.connect(self.reset_plot)
###########
# methods #
###########
def plot_signal(self, value):
self.ax00.clear()
self.ax00.relim()
# reset navitools history
self.navitools.update()
self.line00 = self.ax00.plot(self._model.sec, value, zorder=1)
self.ax00.set_xlabel("seconds", fontsize="large", fontweight="heavy")
self.canvas0.draw()
# print("plot_signal listening")
# print(self.ax0.collections, self.ax0.patches, self.ax0.artists)
def plot_peaks(self, value):
# self.scat is listed in ax.collections
if self.ax00.collections:
self.ax00.collections[0].remove()
self.scat = self.ax00.scatter(self._model.sec[value],
self._model.signal[value],
c="m",
zorder=2)
self.canvas0.draw()
# print("plot_peaks listening")
# print(self.ax0.collections, self.ax0.patches, self.ax0.artists)
def plot_segment(self, value):
# If an invalid signal has been selected reset the segmenter interface.
if value is None:
self.toggle_segmenter(1)
return
if self.ax00.patches: # self.segementspan is listed in ax.patches
self.ax00.patches[0].remove()
self.segmentspan = self.ax00.axvspan(value[0],
value[1],
color="m",
alpha=0.25)
self.canvas0.draw()
self.confirmedit.setEnabled(True)
# print(self.ax0.collections, self.ax0.patches, self.ax0.artists)
def plot_marker(self, value):
self.ax10.clear()
self.ax10.relim()
self.line10 = self.ax10.plot(value[0], value[1])
self.canvas1.draw()
# print("plot_marker listening")
def plot_period(self, value):
self.ax20.clear()
self.ax20.relim()
self.navitools.home()
if self._model.savestats["period"]:
self.line20 = self.ax20.plot(self._model.sec, value, c="m")
else:
self.line20 = self.ax20.plot(self._model.sec, value)
self.ax20.set_ylim(bottom=min(value), top=max(value))
self.ax20.set_title("period", pad=0, fontweight="heavy")
self.ax20.grid(True, axis="y")
self.navitools.update()
self.canvas2.draw()
# print("plot_period listening")
def plot_rate(self, value):
self.ax21.clear()
self.ax21.relim()
self.navitools.home()
if self._model.savestats["rate"]:
self.line21 = self.ax21.plot(self._model.sec, value, c="m")
else:
self.line21 = self.ax21.plot(self._model.sec, value)
self.ax21.set_ylim(bottom=min(value), top=max(value))
self.ax21.set_title("rate", pad=0, fontweight="heavy")
self.ax21.grid(True, axis="y")
self.navitools.update()
self.canvas2.draw()
# print("plot_rate listening")
def plot_tidalamp(self, value):
self.ax22.clear()
self.ax22.relim()
self.navitools.home()
if self._model.savestats["tidalamp"]:
self.line22 = self.ax22.plot(self._model.sec, value, c="m")
else:
self.line22 = self.ax22.plot(self._model.sec, value)
self.ax22.set_ylim(bottom=min(value), top=max(value))
self.ax22.set_title("amplitude", pad=0, fontweight="heavy")
self.ax22.grid(True, axis="y")
self.navitools.update()
self.canvas2.draw()
# print("plot_tidalamp listening")
def display_path(self, value):
self.currentFile.setText(value)
def display_status(self, status):
# display status until new status is set
self.statusBar.showMessage(status)
def display_progress(self, value):
# if value is 0, the progressbar indicates a busy state
self.progressBar.setRange(0, value)
def toggle_segmenter(self, value):
if not self._model.loaded:
return
# Open segmenter when called from signalmenu or clear segmenter
# upon selection of invalid segment.
if value == 1:
self.segmenter.setVisible(True)
self.confirmedit.setEnabled(False)
self.startedit.clear()
self.endedit.clear()
if self.ax00.patches:
self.ax00.patches[0].remove()
self.canvas0.draw()
# Close segmenter after segment has been confirmed.
elif value == 0:
self.segmenter.setVisible(False)
if self.ax00.patches:
self.ax00.patches[0].remove()
self.canvas0.draw()
# Close segmenter after segmentation has been aborted (reset
# segment).
elif value == 2:
self._model.set_segment([0,
0]) # This will reset the model to None
self.segmenter.setVisible(False)
if self.ax00.patches:
self.ax00.patches[0].remove()
self.canvas0.draw()
def enable_segmentedit(self):
# disable peak editing to avoid interference
self.editcheckbox.setChecked(False)
if self.startedit.hasFocus():
self.segmentcursor = "start"
elif self.endedit.hasFocus():
self.segmentcursor = "end"
def set_customheader(self):
"""Populate the customheader with inputs from the customfiledialog"""
# Check if one of the mandatory fields is missing.
mandatoryfields = self.signaledit.text() and self.headerrowsedit.text(
) and self.sfreqedit.text()
if not mandatoryfields:
self._model.status = (
"Please provide values for 'biosignal column'"
", 'number of header rows' and 'sampling"
" rate'.")
return
seps = {"comma": ",", "tab": "\t", "colon": ":", "space": " "}
self._model.customheader = dict.fromkeys(
self._model.customheader, None
) # reset header here since it cannot be reset in controller.get_fpaths()
self._model.customheader["signalidx"] = int(self.signaledit.text())
self._model.customheader["skiprows"] = int(self.headerrowsedit.text())
self._model.customheader["sfreq"] = int(self.sfreqedit.text())
self._model.customheader["separator"] = seps[
self.separatormenu.currentText()]
if self.markeredit.text(): # not mandatory
self._model.customheader["markeridx"] = int(self.markeredit.text())
self.customfiledialog.done(QDialog.Accepted) # close the dialog window
self._controller.get_fpaths() # move on to file selection
def get_xcursor(self, event):
# event.button 1 corresponds to left mouse button
if event.button != 1:
return
# limit number of decimal places to two
if self.segmentcursor == "start":
self.startedit.selectAll()
self.startedit.insert("{:.2f}".format(event.xdata))
elif self.segmentcursor == "end":
self.endedit.selectAll()
self.endedit.insert("{:.2f}".format(event.xdata))
# disable segment cursor again after value has been set
self.segmentcursor = False
def select_stats(self, event):
"""
select or deselect statistics to be saved; toggle boolean with xor
operator ^=, toggle color with dictionary
"""
self._model.savestats[event] ^= True
line = None
if event == "period":
if self.line20:
line = self.line20[0]
elif event == "rate":
if self.line21:
line = self.line21[0]
elif event == "tidalamp":
if self.line22:
line = self.line22[0]
if line:
line.set_color(self.togglecolors[line.get_color()])
self.canvas2.draw()
def toggle_options(self, event):
if event in ["ECG", "PPG"]:
self.tidalampcheckbox.setEnabled(False)
self.tidalampcheckbox.setChecked(False)
self.ax22.set_visible(False)
self.canvas2.draw()
elif event == "RESP":
self.tidalampcheckbox.setEnabled(True)
self.ax22.set_visible(True)
self.canvas2.draw()
elif event == "multiple files":
self.editcheckbox.setEnabled(False)
self.editcheckbox.setChecked(False)
self.savecheckbox.setEnabled(True)
self.correctcheckbox.setEnabled(True)
self.markerchanmenu.setEnabled(False)
elif event == "single file":
self.editcheckbox.setEnabled(True)
self.markerchanmenu.setEnabled(True)
self.savecheckbox.setEnabled(False)
self.savecheckbox.setChecked(False)
self.correctcheckbox.setEnabled(False)
self.correctcheckbox.setChecked(False)
def reset_plot(self):
self.ax00.clear()
self.ax00.relim()
self.line00 = None
self.scat = None
self.segmentspan = None
self.ax10.clear()
self.ax10.relim()
self.line10 = None
self.ax20.clear()
self.ax20.relim()
self.line20 = None
self.ax21.clear()
self.ax21.relim()
self.line21 = None
self.ax22.clear()
self.ax22.relim()
self.line22 = None
self.canvas0.draw()
self.canvas1.draw()
self.canvas2.draw()
self.navitools.update()
self.currentFile.clear()
class DictWidget(QWidget):
def __init__(self, parent=None):
super().__init__()
self.view = QTableView()
self.model = DictModel()
self.proxy_model = QSortFilterProxyModel()
self.search_bar = QLineEdit()
self._show_loading = False
self.proxy_model.setSourceModel(self.model)
self.view.setModel(self.proxy_model)
self.view.setAlternatingRowColors(True)
self.view.horizontalHeader().setStretchLastSection(True)
self.view.setSelectionMode(QAbstractItemView.SingleSelection)
self.view.setSelectionBehavior(QAbstractItemView.SelectRows)
self.view.setSortingEnabled(True)
self.view.verticalHeader().hide()
self.search_bar.textChanged.connect(
self.proxy_model.setFilterRegularExpression)
self.search_bar.setVisible(False)
self._show_search_action = QAction("show search bar")
self._show_search_action.setCheckable(True)
self._show_search_action.setShortcutContext(Qt.WidgetShortcut)
self._show_search_action.setShortcut(QKeySequence.Find)
self._show_search_action.triggered.connect(self._on_show_search)
self._close_search_action = QAction()
self._close_search_action.setShortcut(QKeySequence(Qt.Key_Escape))
self._close_search_action.setShortcutContext(Qt.WidgetShortcut)
self._close_search_action.triggered.connect(self._on_close_search)
self.view.addAction(self._show_search_action)
self.search_bar.addAction(self._close_search_action)
_layout = QVBoxLayout()
_layout.addWidget(self.view)
_layout.addWidget(self.search_bar)
_layout.setContentsMargins(0, 0, 0, 0)
self.setLayout(_layout)
print("init")
def set_dict(self, data: dict):
self.model.set_dict(data)
def _on_show_search(self):
self.search_bar.setVisible(True)
self.search_bar.setFocus(Qt.ShortcutFocusReason)
def _on_close_search(self):
self.search_bar.hide()
self.search_bar.clear()
self.view.setFocus(Qt.ShortcutFocusReason)
def set_header_visible(self, visible=True):
self.view.horizontalHeader().setVisible(visible)
def clear(self):
self.model.clear()
def paintEvent(self, event: QPaintEvent):
if self._show_loading:
painter = QPainter(self)
painter.drawText(self.rect(), Qt.AlignCenter,
self.tr("Loading ..."))
else:
super().paintEvent(event)
def set_loading(self, show=True):
self._show_loading = True
self.view.setVisible(not show)
self.update()
class View(QMainWindow):
"""View component of the MVC application.
Presents the state of the application as well as the available means of
interaction. Receives updates about the state from the Model and informs
Controller about user interactions.
"""
def __init__(self, model, controller):
"""Define GUI elements and their layout.
Parameters
----------
model : QObject
Model component of the MVC application.
controller : QObject
Controller component of the MVC application.
"""
super().__init__()
self._model = model
self._controller = controller
self.segmentcursor = False
self.togglecolors = {"#1f77b4": "m", "m": "#1f77b4"}
self.setWindowTitle("biopeaks")
self.setGeometry(50, 50, 1750, 750)
self.setWindowIcon(QIcon(":/python_icon.png"))
# Figure for biosignal.
self.figure0 = Figure()
self.canvas0 = FigureCanvas(self.figure0)
# Enforce minimum height, otherwise resizing with self.splitter causes
# mpl to throw an error because figure is resized to height 0. The
# widget can still be fully collapsed with self.splitter.
self.canvas0.setMinimumHeight(1) # in pixels
self.ax00 = self.figure0.add_subplot(1, 1, 1)
self.ax00.set_frame_on(False)
self.figure0.subplots_adjust(left=0.04, right=0.98, bottom=0.25)
self.line00 = None
self.scat = None
self.segmentspan = None
# Figure for marker.
self.figure1 = Figure()
self.canvas1 = FigureCanvas(self.figure1)
self.canvas1.setMinimumHeight(1)
self.ax10 = self.figure1.add_subplot(1, 1, 1, sharex=self.ax00)
self.ax10.get_xaxis().set_visible(False)
self.ax10.set_frame_on(False)
self.figure1.subplots_adjust(left=0.04, right=0.98)
self.line10 = None
# Figure for statistics.
self.figure2 = Figure()
self.canvas2 = FigureCanvas(self.figure2)
self.canvas2.setMinimumHeight(1)
self.ax20 = self.figure2.add_subplot(3, 1, 1, sharex=self.ax00)
self.ax20.get_xaxis().set_visible(False)
self.ax20.set_frame_on(False)
self.line20 = None
self.ax21 = self.figure2.add_subplot(3, 1, 2, sharex=self.ax00)
self.ax21.get_xaxis().set_visible(False)
self.ax21.set_frame_on(False)
self.line21 = None
self.ax22 = self.figure2.add_subplot(3, 1, 3, sharex=self.ax00)
self.ax22.get_xaxis().set_visible(False)
self.ax22.set_frame_on(False)
self.line22 = None
self.figure2.subplots_adjust(left=0.04, right=0.98)
self.navitools = CustomNavigationToolbar(self.canvas0, self)
# Peak editing.
self.editcheckbox = QCheckBox("editable", self)
self.editcheckbox.stateChanged.connect(self._model.set_peakseditable)
# Peak saving during batch processing.
self.savecheckbox = QCheckBox("save during batch processing", self)
self.savecheckbox.stateChanged.connect(self._model.set_savebatchpeaks)
# Peak auto-correction during batch processing.
self.correctcheckbox = QCheckBox("correct during batch processing",
self)
self.correctcheckbox.stateChanged.connect(
self._model.set_correctbatchpeaks)
# Selection of stats for saving.
self.periodcheckbox = QCheckBox("period", self)
self.periodcheckbox.stateChanged.connect(
lambda: self.select_stats("period"))
self.ratecheckbox = QCheckBox("rate", self)
self.ratecheckbox.stateChanged.connect(
lambda: self.select_stats("rate"))
self.tidalampcheckbox = QCheckBox("tidal amplitude", self)
self.tidalampcheckbox.stateChanged.connect(
lambda: self.select_stats("tidalamp"))
# Channel selection.
self.sigchanmenulabel = QLabel("biosignal")
self.sigchanmenu = QComboBox(self)
self.sigchanmenu.addItem("A1")
self.sigchanmenu.addItem("A2")
self.sigchanmenu.addItem("A3")
self.sigchanmenu.addItem("A4")
self.sigchanmenu.addItem("A5")
self.sigchanmenu.addItem("A6")
self.sigchanmenu.currentTextChanged.connect(self._model.set_signalchan)
self._model.set_signalchan(
self.sigchanmenu.currentText()) # initialize with default value
self.markerchanmenulabel = QLabel("marker")
self.markerchanmenu = QComboBox(self)
self.markerchanmenu.addItem("none")
self.markerchanmenu.addItem("I1")
self.markerchanmenu.addItem("I2")
self.markerchanmenu.addItem("A1")
self.markerchanmenu.addItem("A2")
self.markerchanmenu.addItem("A3")
self.markerchanmenu.addItem("A4")
self.markerchanmenu.addItem("A5")
self.markerchanmenu.addItem("A6")
self.markerchanmenu.currentTextChanged.connect(
self._model.set_markerchan)
self._model.set_markerchan(self.markerchanmenu.currentText())
# Processing mode.
self.batchmenulabel = QLabel("mode")
self.batchmenu = QComboBox(self)
self.batchmenu.addItem("single file")
self.batchmenu.addItem("multiple files")
self.batchmenu.currentTextChanged.connect(self._model.set_batchmode)
self.batchmenu.currentTextChanged.connect(self.toggle_options)
self._model.set_batchmode(self.batchmenu.currentText())
self.toggle_options(self.batchmenu.currentText())
# Modality selection.
self.modmenulabel = QLabel("modality")
self.modmenu = QComboBox(self)
self.modmenu.addItem("ECG")
self.modmenu.addItem("PPG")
self.modmenu.addItem("RESP")
self.modmenu.currentTextChanged.connect(self._model.set_modality)
self.modmenu.currentTextChanged.connect(self.toggle_options)
self._model.set_modality(self.modmenu.currentText())
self.toggle_options(self.modmenu.currentText())
# Segment selection. This widget can be openend / set visible from
# the menu and closed from within itself (see mapping of segmentermap).
self.segmentermap = QSignalMapper(self)
self.segmenter = QDockWidget("select a segment", self)
self.segmenter.setFeatures(
QDockWidget.NoDockWidgetFeatures
) # disable closing such that widget can only be closed by confirming selection or custom button
regex = QRegExp(
"[0-9]*\.?[0-9]{4}") # Limit number of decimals to four
validator = QRegExpValidator(regex)
self.startlabel = QLabel("start")
self.startedit = QLineEdit()
self.startedit.setValidator(validator)
self.endlabel = QLabel("end")
self.endedit = QLineEdit()
self.endedit.setValidator(validator)
segmentfromcursor = QAction(QIcon(":/mouse_icon.png"),
"select with mouse", self)
segmentfromcursor.triggered.connect(self.enable_segmentedit)
self.startedit.addAction(segmentfromcursor, QLineEdit.TrailingPosition)
self.endedit.addAction(segmentfromcursor, QLineEdit.TrailingPosition)
self.previewedit = QPushButton("preview segment")
lambdafn = lambda: self._model.set_segment(
[self.startedit.text(), self.endedit.text()])
self.previewedit.clicked.connect(lambdafn)
self.confirmedit = QPushButton("confirm segment")
self.confirmedit.clicked.connect(self._controller.segment_dataset)
self.confirmedit.clicked.connect(self.segmentermap.map)
self.segmentermap.setMapping(self.confirmedit, 0)
self.abortedit = QPushButton("abort segmentation")
self.abortedit.clicked.connect(self.segmentermap.map)
self.segmentermap.setMapping(self.abortedit,
2) # resets the segment to None
self.segmenterlayout = QFormLayout()
self.segmenterlayout.addRow(self.startlabel, self.startedit)
self.segmenterlayout.addRow(self.endlabel, self.endedit)
self.segmenterlayout.addRow(self.previewedit)
self.segmenterlayout.addRow(self.confirmedit)
self.segmenterlayout.addRow(self.abortedit)
self.segmenterwidget = QWidget()
self.segmenterwidget.setLayout(self.segmenterlayout)
self.segmenter.setWidget(self.segmenterwidget)
self.segmenter.setVisible(False)
self.segmenter.setAllowedAreas(Qt.RightDockWidgetArea)
self.addDockWidget(Qt.RightDockWidgetArea, self.segmenter)
# Custom file dialog.
regex = QRegExp("[1-9][0-9]")
validator = QRegExpValidator(regex)
self.signallabel = QLabel("biosignal column")
self.signaledit = QLineEdit()
self.signaledit.setValidator(validator)
self.markerlabel = QLabel("marker column")
self.markeredit = QLineEdit()
self.markeredit.setValidator(validator)
regex = QRegExp("[0-9]{2}")
validator = QRegExpValidator(regex)
self.headerrowslabel = QLabel("number of header rows")
self.headerrowsedit = QLineEdit()
self.headerrowsedit.setValidator(validator)
regex = QRegExp("[0-9]{5}")
validator = QRegExpValidator(regex)
self.sfreqlabel = QLabel("sampling rate")
self.sfreqedit = QLineEdit()
self.sfreqedit.setValidator(validator)
self.separatorlabel = QLabel("column separator")
self.separatormenu = QComboBox(self)
self.separatormenu.addItem("comma")
self.separatormenu.addItem("tab")
self.separatormenu.addItem("colon")
self.separatormenu.addItem("space")
self.continuecustomfile = QPushButton("continue loading file")
self.continuecustomfile.clicked.connect(self.set_customheader)
self.customfiledialog = QDialog()
self.customfiledialog.setWindowTitle("custom file info")
self.customfiledialog.setWindowIcon(QIcon(":/file_icon.png"))
self.customfiledialog.setWindowFlags(
Qt.WindowCloseButtonHint
) # remove help button by only setting close button
self.customfilelayout = QFormLayout()
self.customfilelayout.addRow(self.signallabel, self.signaledit)
self.customfilelayout.addRow(self.markerlabel, self.markeredit)
self.customfilelayout.addRow(self.separatorlabel, self.separatormenu)
self.customfilelayout.addRow(self.headerrowslabel, self.headerrowsedit)
self.customfilelayout.addRow(self.sfreqlabel, self.sfreqedit)
self.customfilelayout.addRow(self.continuecustomfile)
self.customfiledialog.setLayout(self.customfilelayout)
# Layout.
menubar = self.menuBar()
signalmenu = menubar.addMenu("biosignal")
openSignal = signalmenu.addMenu("load")
openEDF = QAction("EDF", self)
openEDF.triggered.connect(lambda: self._model.set_filetype("EDF"))
openEDF.triggered.connect(self._controller.load_channels)
openSignal.addAction(openEDF)
openOpenSignals = QAction("OpenSignals", self)
openOpenSignals.triggered.connect(
lambda: self._model.set_filetype("OpenSignals"))
openOpenSignals.triggered.connect(self._controller.load_channels)
openSignal.addAction(openOpenSignals)
openCustom = QAction("Custom", self)
openCustom.triggered.connect(
lambda: self._model.set_filetype("Custom"))
openCustom.triggered.connect(lambda: self.customfiledialog.exec_())
openSignal.addAction(openCustom)
segmentSignal = QAction("select segment", self)
segmentSignal.triggered.connect(self.segmentermap.map)
self.segmentermap.setMapping(segmentSignal, 1)
signalmenu.addAction(segmentSignal)
self.segmentermap.mapped.connect(self.toggle_segmenter)
saveSignal = QAction("save", self)
saveSignal.triggered.connect(self._controller.save_channels)
signalmenu.addAction(saveSignal)
peakmenu = menubar.addMenu("peaks")
findPeaks = QAction("find", self)
findPeaks.triggered.connect(self._controller.find_peaks)
peakmenu.addAction(findPeaks)
autocorrectPeaks = QAction("autocorrect", self)
autocorrectPeaks.triggered.connect(self._controller.autocorrect_peaks)
peakmenu.addAction(autocorrectPeaks)
savePeaks = QAction("save", self)
savePeaks.triggered.connect(self._controller.save_peaks)
peakmenu.addAction(savePeaks)
loadPeaks = QAction("load", self)
loadPeaks.triggered.connect(self._controller.load_peaks)
peakmenu.addAction(loadPeaks)
statsmenu = menubar.addMenu("statistics")
calculateStats = QAction("calculate", self)
calculateStats.triggered.connect(self._controller.calculate_stats)
statsmenu.addAction(calculateStats)
saveStats = QAction("save", self)
saveStats.triggered.connect(self._controller.save_stats)
statsmenu.addAction(saveStats)
self.statusBar = QStatusBar()
self.setStatusBar(self.statusBar)
self.progressBar = QProgressBar(self)
self.progressBar.setRange(0, 1)
self.statusBar.addPermanentWidget(self.progressBar)
self.currentFile = QLabel()
self.statusBar.addPermanentWidget(self.currentFile)
self.centwidget = QWidget() # contains figures and navigationtoolbar
self.setCentralWidget(self.centwidget)
self.canvas0.setFocusPolicy(
Qt.ClickFocus
) # only widgets (e.g. canvas) that currently have focus capture keyboard input
self.canvas0.setFocus()
self.canvas0.mpl_connect(
"key_press_event", self._controller.edit_peaks
) # connect canvas to keyboard input for peak editing
self.canvas0.mpl_connect(
"button_press_event",
self.get_xcursor) # connect canvas to mouse input for peak editing
self.splitter = QSplitter(
Qt.Vertical
) # arrange the three figure canvases in splitter object
self.splitter.setOpaqueResize(
False) # resizing gets very slow otherwise once axes are populated
self.splitter.addWidget(self.canvas0)
self.splitter.addWidget(self.canvas1)
self.splitter.addWidget(self.canvas2)
self.splitter.setChildrenCollapsible(False)
self.vlayout0 = QVBoxLayout(self.centwidget)
self.vlayout1 = QVBoxLayout()
self.vlayoutA = QFormLayout()
self.vlayoutB = QFormLayout()
self.vlayoutC = QVBoxLayout()
self.vlayoutD = QVBoxLayout()
self.hlayout0 = QHBoxLayout()
self.optionsgroupA = QGroupBox("processing options")
self.vlayoutA.addRow(self.modmenulabel, self.modmenu)
self.vlayoutA.addRow(self.batchmenulabel, self.batchmenu)
self.optionsgroupA.setLayout(self.vlayoutA)
self.optionsgroupB = QGroupBox("channels")
self.vlayoutB.addRow(self.sigchanmenulabel, self.sigchanmenu)
self.vlayoutB.addRow(self.markerchanmenulabel, self.markerchanmenu)
self.optionsgroupB.setLayout(self.vlayoutB)
self.optionsgroupC = QGroupBox("peaks")
self.vlayoutC.addWidget(self.editcheckbox)
self.vlayoutC.addWidget(self.savecheckbox)
self.vlayoutC.addWidget(self.correctcheckbox)
self.optionsgroupC.setLayout(self.vlayoutC)
self.optionsgroupD = QGroupBox("select statistics for saving")
self.vlayoutD.addWidget(self.periodcheckbox)
self.vlayoutD.addWidget(self.ratecheckbox)
self.vlayoutD.addWidget(self.tidalampcheckbox)
self.optionsgroupD.setLayout(self.vlayoutD)
self.vlayout1.addWidget(self.optionsgroupA)
self.vlayout1.addWidget(self.optionsgroupB)
self.vlayout1.addWidget(self.optionsgroupC)
self.vlayout1.addWidget(self.optionsgroupD)
self.optionsgroupwidget = QWidget()
self.optionsgroupwidget.setLayout(self.vlayout1)
self.optionsgroup = QDockWidget("configurations", self)
self.optionsgroup.setAllowedAreas(Qt.LeftDockWidgetArea)
self.toggleoptionsgroup = self.optionsgroup.toggleViewAction()
self.toggleoptionsgroup.setText("show/hide configurations")
menubar.addAction(self.toggleoptionsgroup)
self.optionsgroup.setWidget(self.optionsgroupwidget)
self.addDockWidget(Qt.LeftDockWidgetArea, self.optionsgroup)
self.vlayout0.addWidget(self.splitter)
self.hlayout0.addWidget(self.navitools)
self.vlayout0.addLayout(self.hlayout0)
# Subscribe to updates from the Model.
self._model.signal_changed.connect(self.plot_signal)
self._model.marker_changed.connect(self.plot_marker)
self._model.peaks_changed.connect(self.plot_peaks)
self._model.period_changed.connect(self.plot_period)
self._model.rate_changed.connect(self.plot_rate)
self._model.tidalamp_changed.connect(self.plot_tidalamp)
self._model.path_changed.connect(self.display_path)
self._model.segment_changed.connect(self.plot_segment)
self._model.status_changed.connect(self.display_status)
self._model.progress_changed.connect(self.display_progress)
self._model.model_reset.connect(self.reset_plot)
def plot_signal(self, signal):
"""Plot the biosignal.
Receives updates in signal from Model.
Parameters
----------
signal : ndarray of float
Vector representing the biosignal.
See Also
--------
model.Model.signal
"""
self.ax00.clear()
self.ax00.relim()
self.navitools.update() # reset navitools history
self.line00 = self.ax00.plot(self._model.sec, signal, zorder=1)
self.ax00.set_xlabel("seconds", fontsize="large", fontweight="heavy")
self.canvas0.draw()
def plot_peaks(self, peaks):
"""Plot the extrema.
Receives updates in peaks from Model.
Parameters
----------
peaks : ndarray of int
Vector representing the extrema.
See Also
--------
model.Model.peaks
"""
if self.ax00.collections: # self.scat is listed in ax.collections
self.ax00.collections[0].remove()
self.scat = self.ax00.scatter(self._model.sec[peaks],
self._model.signal[peaks],
c="m",
zorder=2)
self.canvas0.draw()
def plot_segment(self, segment):
"""Show preview of segment.
Receives updates in segment from Model.
Parameters
----------
segment : list of float
The start and end of the segment in seconds.
See Also
--------
model.Model.segment
"""
if segment is None: # if an invalid segment has been selected reset the segmenter interface
self.toggle_segmenter(1)
return
if self.ax00.patches: # self.segementspan is listed in ax.patches
self.ax00.patches[0].remove()
self.segmentspan = self.ax00.axvspan(segment[0],
segment[1],
color="m",
alpha=0.25)
self.canvas0.draw()
self.confirmedit.setEnabled(True)
def plot_marker(self, marker):
"""Plot the marker channel.
Receives updates in marker from Model.
Parameters
----------
marker : list of ndarray
Seconds element is vector representing the marker channel and first
element is a vector representing the seconds associated with each
sample in the marker channel.
See Also
--------
model.Model.marker
"""
self.ax10.clear()
self.ax10.relim()
self.line10 = self.ax10.plot(marker[0], marker[1])
self.canvas1.draw()
def plot_period(self, period):
"""Plot instantaneous period.
Receives updates in period from Model.
Parameters
----------
period : ndarray of float
Vector representing the instantaneous period.
See Also
--------
model.Model.periodintp
"""
self.ax20.clear()
self.ax20.relim()
self.navitools.home()
if self._model.savestats["period"]:
self.line20 = self.ax20.plot(self._model.sec, period, c="m")
else:
self.line20 = self.ax20.plot(self._model.sec, period)
self.ax20.set_ylim(bottom=min(period), top=max(period))
self.ax20.set_title("period", pad=0, fontweight="heavy")
self.ax20.grid(True, axis="y")
self.navitools.update()
self.canvas2.draw()
def plot_rate(self, rate):
"""Plot instantaneous rate.
Receives updates in rate from Model.
Parameters
----------
rate : ndarray of float
Vector representing the instantaneous rate.
See Also
--------
model.Model.rateintp
"""
self.ax21.clear()
self.ax21.relim()
self.navitools.home()
if self._model.savestats["rate"]:
self.line21 = self.ax21.plot(self._model.sec, rate, c="m")
else:
self.line21 = self.ax21.plot(self._model.sec, rate)
self.ax21.set_ylim(bottom=min(rate), top=max(rate))
self.ax21.set_title("rate", pad=0, fontweight="heavy")
self.ax21.grid(True, axis="y")
self.navitools.update()
self.canvas2.draw()
def plot_tidalamp(self, tidalamp):
"""Plot instantaneous tidal amplitude.
Receives updates in tidal amplitude from Model.
Parameters
----------
tidalamp : ndarray of float
Vector representing the instantaneous tidal amplitude.
See Also
--------
model.Model.tidalampintp
"""
self.ax22.clear()
self.ax22.relim()
self.navitools.home()
if self._model.savestats["tidalamp"]:
self.line22 = self.ax22.plot(self._model.sec, tidalamp, c="m")
else:
self.line22 = self.ax22.plot(self._model.sec, tidalamp)
self.ax22.set_ylim(bottom=min(tidalamp), top=max(tidalamp))
self.ax22.set_title("amplitude", pad=0, fontweight="heavy")
self.ax22.grid(True, axis="y")
self.navitools.update()
self.canvas2.draw()
def display_path(self, path):
"""Display the path to the current dataset.
Receives update in path from Model.
Parameters
----------
path : str
The path to the file containing the current dataset.
See Also
--------
model.Model.rpathsignal
"""
self.currentFile.setText(path)
def display_status(self, status):
"""Display a status message.
Receives updates in status message from Model.
Parameters
----------
status : str
A status message.
See Also
--------
model.Model.status
"""
self.statusBar.showMessage(status)
def display_progress(self, progress):
"""Display task progress.
Receives updates in progress from Model.
Parameters
----------
progress : int
Integer indicating the current task progress.
See Also
--------
model.Model.progress, controller.Worker, controller.threaded
"""
self.progressBar.setRange(
0, progress) # indicates busy state if progress is 0
def toggle_segmenter(self, visibility_state):
"""Toggle visibility of segmenter widget.
Parameters
----------
visibility_state : int
Update in state of the segmenter widget's visibility.
"""
if not self._model.loaded:
return
if visibility_state == 1: # open segmenter when called from signalmenu or clear segmenter upon selection of invalid segment
self.segmenter.setVisible(True)
self.confirmedit.setEnabled(False)
self.startedit.clear()
self.endedit.clear()
elif visibility_state == 0: # close segmenter after segment has been confirmed
self.segmenter.setVisible(False)
elif visibility_state == 2: # close segmenter after segmentation has been aborted (reset segment)
self._model.set_segment([0, 0])
self.segmenter.setVisible(False)
if self.ax00.patches:
self.ax00.patches[0].remove()
self.canvas0.draw()
def enable_segmentedit(self):
"""Associate cursor position with a specific segmenter text field.
Regulate if cursor position is associated with editing the start or
end of a segment.
"""
self.editcheckbox.setChecked(
False) # disable peak editing to avoid interference
if self.startedit.hasFocus():
self.segmentcursor = "start"
elif self.endedit.hasFocus():
self.segmentcursor = "end"
def get_xcursor(self, mouse_event):
"""Retrieve input to segmenter text fields from cursor position.
Retrieve the start or end of a segment in seconds from the current
cursor position.
Parameters
----------
mouse_event : MouseEvent
Event containing information about the current cursor position
in data coordinates.
See Also
--------
matplotlib.backend_bases.MouseEvent
"""
if mouse_event.button != 1: # 1 = left mouse button
return
if self.segmentcursor == "start":
self.startedit.selectAll()
self.startedit.insert("{:.2f}".format(
mouse_event.xdata)) # limit number of decimal places to two
elif self.segmentcursor == "end":
self.endedit.selectAll()
self.endedit.insert("{:.2f}".format(mouse_event.xdata))
self.segmentcursor = False # disable segment cursor again after value has been set
def set_customheader(self):
"""Populate the customheader with inputs from the customfiledialog."""
mandatoryfields = self.signaledit.text() and self.headerrowsedit.text(
) and self.sfreqedit.text(
) # check if one of the mandatory fields is missing
if not mandatoryfields:
self._model.status = (
"Please provide values for 'biosignal column'"
", 'number of header rows' and 'sampling"
" rate'.")
return
seps = {"comma": ",", "tab": "\t", "colon": ":", "space": " "}
self._model.customheader = dict.fromkeys(
self._model.customheader, None
) # reset header here since it cannot be reset in controller.load_chanels
self._model.customheader["signalidx"] = int(self.signaledit.text())
self._model.customheader["skiprows"] = int(self.headerrowsedit.text())
self._model.customheader["sfreq"] = int(self.sfreqedit.text())
self._model.customheader["separator"] = seps[
self.separatormenu.currentText()]
if self.markeredit.text(): # not mandatory
self._model.customheader["markeridx"] = int(self.markeredit.text())
self.customfiledialog.done(QDialog.Accepted) # close the dialog window
self._controller.load_channels() # move on to file selection
def select_stats(self, statistic):
"""Select statistics to be saved.
Parameters
----------
statistic : str
The selected statistic.
"""
self._model.savestats[
statistic] ^= True # toggle boolean with xor operator
line = None
if statistic == "period":
if self.line20:
line = self.line20[0]
elif statistic == "rate":
if self.line21:
line = self.line21[0]
elif statistic == "tidalamp":
if self.line22:
line = self.line22[0]
if line:
line.set_color(self.togglecolors[line.get_color()])
self.canvas2.draw()
def toggle_options(self, state):
"""Toggle availability of configuration options.
Based on current state.
Parameters
----------
state : str
The aspect of the current state to which the availability of
configuration options needs to be adapted.
"""
if state in ["ECG", "PPG"]:
self.tidalampcheckbox.setEnabled(False)
self.tidalampcheckbox.setChecked(False)
self.ax22.set_visible(False)
self.canvas2.draw()
elif state == "RESP":
self.tidalampcheckbox.setEnabled(True)
self.ax22.set_visible(True)
self.canvas2.draw()
elif state == "multiple files":
self.editcheckbox.setEnabled(False)
self.editcheckbox.setChecked(False)
self.savecheckbox.setEnabled(True)
self.correctcheckbox.setEnabled(True)
self.markerchanmenu.setEnabled(False)
elif state == "single file":
self.editcheckbox.setEnabled(True)
self.markerchanmenu.setEnabled(True)
self.savecheckbox.setEnabled(False)
self.savecheckbox.setChecked(False)
self.correctcheckbox.setEnabled(False)
self.correctcheckbox.setChecked(False)
def reset_plot(self):
"""Reset plot elements associated with the current dataset."""
self.ax00.clear()
self.ax00.relim()
self.line00 = None
self.scat = None
self.segmentspan = None
self.ax10.clear()
self.ax10.relim()
self.line10 = None
self.ax20.clear()
self.ax20.relim()
self.line20 = None
self.ax21.clear()
self.ax21.relim()
self.line21 = None
self.ax22.clear()
self.ax22.relim()
self.line22 = None
self.canvas0.draw()
self.canvas1.draw()
self.canvas2.draw()
self.navitools.update()
self.currentFile.clear()
