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gui.py
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gui.py
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import sys, os, gc
import matplotlib
matplotlib.use('WXAgg')
from matplotlib.backends.backend_wxagg import FigureCanvasWxAgg as FigCanvas
from matplotlib.figure import Figure
import wx
import numpy as np
import matplotlib.pyplot as mp
import math as m
import scipy.io as sc
import scipy.stats as st
from time import *
from xlwt import Workbook
from xlwt.Style import *
from array import *
from PIL import Image
currentmatfile = 0
class Eeg_Gui(wx.Frame):
def __init__(self, parent, id, title):
wx.Frame.__init__(self, parent, id, title,(-1,-1),wx.Size(600,600))
self.current_signal_val=None
self.current_plot1_txt = None
self.current_daub_value= None
self.current_record_value = None
self.current_channel_value = 0
self.current_mean_value = 0
self.current_median_value = 0
self.current_mode_value = 0
self.current_kurtosis_value = 0
self.current_skew_value = 0
self.current_variance_value = 0
menubar= wx.MenuBar()
self.panel = wx.Panel(self)
self.combo = wx.ComboBox(self.panel, 4, '',(400,500),choices="",name="record")
self.combo2 = wx.ComboBox(self.panel, 4, '',(100,500),choices="",name="Channel")
self.combo.Bind(wx.EVT_COMBOBOX, self.OnSelectRecord)
self.combo2.Bind(wx.EVT_COMBOBOX, self.OnSelectChannel)
self.st1 = wx.StaticText(self.panel, label="record",pos=(350,505))
self.st2 = wx.StaticText(self.panel, label="Channel",pos=(40,505))
self.st0 = wx.StaticText(self.panel, label="DAUBECHIES WAVECOFF ANALYSIS:",pos=(690,50))
self.st3 = wx.StaticText(self.panel, label="mean:",pos=(700,100))
self.st4 = wx.StaticText(self.panel, label="mode:",pos=(700,150))
self.st5 = wx.StaticText(self.panel, label="median:",pos=(700,200))
self.st6 = wx.StaticText(self.panel, label="kurtosis:",pos=(700,250))
self.st7 = wx.StaticText(self.panel, label="skew:",pos=(700,300))
self.st8 = wx.StaticText(self.panel, label="variance:",pos=(700,350))
self.init_plot()
file = wx.Menu()
load = wx.MenuItem(file,1,'&load')
file.AppendItem(load)
self.Bind(wx.EVT_MENU , self.loadmatfile , id = 1)
quit = wx.MenuItem(file,2,'&Quit')
file.AppendItem(quit)
self.Bind(wx.EVT_MENU , self.OnQuit , id = 2)
menubar.Append(file , '&File')
tools = wx.Menu()
daub = wx.MenuItem(tools,3,'&daub')
tools.AppendItem(daub)
self.Bind(wx.EVT_MENU , self.daubtran , id = 3)
export2xl = wx.MenuItem(tools,5,'&export2xls')
tools.AppendItem(export2xl)
self.Bind(wx.EVT_MENU , self.SaveData , id = 5)
menubar.Append(tools , '&Tools')
helper = wx.Menu()
helpmenu = wx.MenuItem(helper,4,'&About')
helper.AppendItem(helpmenu)
self.Bind(wx.EVT_MENU , self.OnHelp , id = 4)
menubar.Append(helper , '&help')
self.SetMenuBar(menubar)
self.SetMinSize((950, 600))
self.SetMaxSize((950, 600))
def OnHelp(self, e):
description = """EEGAnalyser is an simple electro encephalogram
analyser for chbmit data. Its features include plotting of invidual
channels within records and their corresponding daubechies plots.
"""
licence = """EEGAnalyser is free software; you can redistribute
it and/or modify it under the terms of the GNU General Public License as
published by the Free Software Foundation; either version 2 of the License,
or (at your option) any later version.
EEGAnalyser is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
See the GNU General Public License for more details. You should have
received a copy of the GNU General Public License along with File Hunter;
if not, write to the Free Software Foundation, Inc., 59 Temple Place,
Suite 330, Boston, MA 02111-1307 USA"""
info = wx.AboutDialogInfo()
info.SetName('EEGAnalyser')
info.SetVersion('0.0.alpha')
info.SetDescription(description)
info.SetCopyright('(C) 2013 G.Raja Sumant,Ashok Ashwin')
info.SetLicence(licence)
info.AddDeveloper('Ashok Ashwin')
info.AddDocWriter('G.Raja Sumant')
wx.AboutBox(info)
def ClearDaub(self):
self.st3.SetLabel("mean: ")
self.st4.SetLabel("median: ")
self.st5.SetLabel("mode: ")
self.st6.SetLabel("kurtosis: ")
self.st7.SetLabel("skew: ")
self.st8.SetLabel("variance: ")
def OnSelectRecord(self,event):
self.current_record_value = self.combo.GetValue()
self.current_channel_value = 0
self.combo2.SetValue(str(self.current_channel_value))
self.current_plot1_txt="plotting "+ self.current_record_value + " channel " + str(self.current_channel_value)
self.current_signal_val=self.mat[self.current_record_value][0]
self.draw_plot1(self.current_signal_val,self.current_plot1_txt)
self.ClearDaub()
i=0
print self.mat[self.current_record_value]
while i < self.mat[self.current_record_value].shape[0]:
self.combo2.Append(str(i))
i=i+1
def OnSelectChannel(self,event):
self.current_channel_value = int(self.combo2.GetValue())
print self.current_channel_value
self.current_signal_val=self.mat[self.current_record_value][self.current_channel_value]
self.current_plot1_txt="plotting "+ self.current_record_value + " channel " + str(self.current_channel_value)
self.draw_plot1(self.current_signal_val,self.current_plot1_txt)
self.ClearDaub()
def OnQuit(self,event):
self.Close()
def init_plot(self):
self.dpi = 100
self.fig = Figure()
self.canvas = FigCanvas(self.panel, -1,self.fig)
self.axes = self.fig.add_subplot(211)
self.axes.set_axis_bgcolor('black')
self.axes.set_title('no file loaded', size=12)
self.line1=self.axes.plot(np.arange(len(np.linspace(0,13))),np.linspace(0,13))
self.axes2 = self.fig.add_subplot(212)
self.axes2.set_axis_bgcolor('black')
self.axes2.set_title('no file loaded', size=12)
self.line2=self.axes2.plot(np.arange(len(np.linspace(0,13))),np.linspace(0,13))
def draw_plot1(self,a,txt):
del self.axes.lines[0]
self.fig.clf()
self.axes = self.fig.add_subplot(211)
self.axes.set_axis_bgcolor('white')
self.axes.set_title(txt, size=12)
self.line1,=self.axes.plot(a)
self.canvas.draw()
def draw_plot2(self,a,txt):
self.draw_plot1(self.current_signal_val,self.current_plot1_txt)
self.axes2 = self.fig.add_subplot(212)
self.axes2.set_axis_bgcolor('white')
self.axes2.set_title(txt, size=12)
self.line2=self.axes2.plot(a)
self.canvas.draw()
def loadmatfile(self,event):
dlg = wx.FileDialog(self,message="Choose a file",wildcard = "*.mat")
if dlg.ShowModal() == wx.ID_OK:
path = dlg.GetPath()
print path + " is loaded"
self.mat=sc.loadmat(path)
self.combo.Clear()
self.combo2.Clear()
for record in self.mat.keys():
if type(self.mat[record]) != type(''):
self.combo.Append(record)
self.current_signal_val=self.mat[self.mat.keys()[0]][0]
self.current_plot1_txt="plotting "+ self.mat.keys()[0] + " channel " + "0"
self.draw_plot1(self.current_signal_val,self.current_plot1_txt)
i=0
while i < self.mat[self.mat.keys()[0]].shape[0]:
self.combo2.Append(str(i))
i=i+1
dlg.Destroy()
def daubtran(self,event):
h0=(1+m.sqrt(3))/(4*m.sqrt(2))
h1=(3+m.sqrt(3))/(4*m.sqrt(2))
h2=(3-m.sqrt(3))/(4*m.sqrt(2))
h3=(1-m.sqrt(3))/(4*m.sqrt(2))
g0 = h3
g1 = -h2
g2 = h1
g3 = -h0
a=self.current_signal_val
n=len(self.current_signal_val)
print self.current_plot1_txt
if (n>=4):
half = n >> 1
tmp=[0]*n
i=0
j=0
while (j<n-3):
tmp[i] = a[j]*h0 + a[j+1]*h1 + a[j+2]*h2 + a[j+3]*h3
tmp[i+half] = a[j]*g0 + a[j+1]*g1 + a[j+2]*g2 + a[j+3]*g3
j += 2
i +=1
tmp[i] = a[n-2]*h0 + a[n-1]*h1 + a[0]*h2 + a[1]*h3
tmp[i+half] = a[n-2]*g0 + a[n-1]*g1 + a[0]*g2 + a[1]*g3
self.current_daub_value=tmp
self.draw_plot2(self.current_daub_value,"daubechies plot")
self.current_mean_value = np.mean(self.current_daub_value)
self.current_median_value = np.median(self.current_daub_value)
self.current_mode_value = int(st.mode(self.current_daub_value)[0])
self.current_kurtosis_value = st.kurtosis(self.current_daub_value)
self.current_skew_value = st.skew(self.current_daub_value)
self.current_variance_value = st.tvar(self.current_daub_value)
self.st3.SetLabel("mean: "+str(self.current_mean_value))
self.st4.SetLabel("median: "+str(self.current_median_value))
self.st5.SetLabel("mode: "+str(self.current_mode_value))
self.st6.SetLabel("kurtosis: "+str(self.current_kurtosis_value))
self.st7.SetLabel("skew: "+str(self.current_skew_value))
self.st8.SetLabel("variance: "+str(self.current_variance_value))
def SaveData(self,event):
if self.current_daub_value != None:
self.book = Workbook()
sheet1 = self.book.add_sheet('analysed data')
sheet1.write(0,0,"mean:")
sheet1.write(0,1,self.current_mean_value)
sheet1.write(1,0,"median:")
sheet1.write(1,1,self.current_median_value)
sheet1.write(2,0,"mode:")
sheet1.write(2,1,self.current_mode_value)
sheet1.write(3,0,"kurtosis:")
sheet1.write(3,1,self.current_kurtosis_value)
sheet1.write(4,0,"skew:")
sheet1.write(4,1,self.current_skew_value)
sheet1.write(5,0,"variance:")
sheet1.write(5,1,self.current_variance_value)
sheet1.write(6,0,"wavecoeff:")
i = 0
while i < len(self.current_daub_value):
sheet1.write(7+i,0,"wavecoff(" + str(i) + ")")
sheet1.write(7+i,1,self.current_daub_value[i])
i=i+1
dialog = wx.FileDialog ( self,message = "choose a filename" ,wildcard = "*.xls", style = wx.SAVE)
if dialog.ShowModal() == wx.ID_OK:
name=dialog.GetPath()
print 'Selected:', name
else:
print 'Nothing was selected.'
dialog.Destroy()
self.canvas.print_figure(name + ".png", dpi=self.dpi)
file_in = name + ".png"
img = Image.open(file_in)
file_out = name + ".bmp"
print len(img.split()) # test
if len(img.split()) == 4:
# prevent IOError: cannot write mode RGBA as BMP
r, g, b, a = img.split()
img = Image.merge("RGB", (r, g, b))
img.save(file_out)
else:
img.save(file_out)
sheet1.insert_bitmap(file_out, 0, 4)
os.remove(file_in)
os.remove(file_out)
if name.endswith(".xls"):
self.book.save(name)
else:
self.book.save(name+".xls")
def main():
app=wx.App()
frame=Eeg_Gui(None,-1,'EEGAnalyser')
frame.Show()
app.MainLoop()
main()