def test_getSingleWaves(self):
eegData = FileUtil().getDto(self.getData32CSV())
eeg = eegData.getColumn("F3")
nEeg = len(eeg)
samplingRate = eegData.getSamplingRate()
waves = self.util.getWaves(eeg, samplingRate)
delta = self.util.getDeltaWaves(eeg, samplingRate)
self.assertEqual(len(delta), nEeg)
self.assertTrue(all([x in waves["delta"] for x in delta]))
theta = self.util.getThetaWaves(eeg, samplingRate)
self.assertEqual(len(theta), nEeg)
self.assertTrue(all([x in waves["theta"] for x in theta]))
alpha = self.util.getAlphaWaves(eeg, samplingRate)
self.assertEqual(len(alpha), nEeg)
self.assertTrue(all([x in waves["alpha"] for x in alpha]))
beta = self.util.getBetaWaves(eeg, samplingRate)
self.assertEqual(len(beta), nEeg)
self.assertTrue(all([x in waves["alpha"] for x in alpha]))
gamma = self.util.getGammaWaves(eeg, samplingRate)
self.assertEqual(len(gamma), nEeg)
self.assertTrue(all([x in waves["gamma"] for x in gamma]))
def test_getWaves(self):
eegData = FileUtil().getDto(self.getData32CSV())
eeg = eegData.getColumn("F3")
nEeg = len(eeg)
waves = self.util.getWaves(eeg, eegData.getSamplingRate())
self.assertEqual(len(waves), 5)
for _, wave in waves.iteritems():
self.assertEqual(len(wave), nEeg)
class SignalStatisticUtil(object):
'''
class to show some statistical values for a channel
'''
def __init__(self, queue, filePath, signals=None, save=True, plot=True, logScale=False, name=""):
self.queue = queue
self.filePath = filePath
self._initStatsDict()
self.config = ConfigProvider()
self.eegData = FileUtil().getDto(filePath)
self._initSignals(signals)
self.su = SignalUtil()
self.qu = QualityUtil()
self.eu = EEGUtil()
self.fft = FFTUtil()
self._initFields()
self.save = save
self.plot = plot
self.name = name
self._initPlotter(logScale)
self.ssPrint = SignalStatisticPrinter(filePath)
self.preProcessor = SignalPreProcessor()
self.processor = SignalProcessor()
windowSeconds = self.config.getCollectorConfig().get("windowSeconds")
self.windowSize = EEGDataCollector.calcWindowSize(windowSeconds, self.eegData.samplingRate)
def _initStatsDict(self):
self.stats = OrderedDict()
self.stats[GENERAL_KEY] = OrderedDict()
self.stats[SIGNALS_KEY] = OrderedDict()
def _initFields(self):
self.statFields = STAT_FIELDS
addMethods(self)
def _initSignals(self, signals):
if not signals:
emoConfig = self.config.getEmotivConfig()
signals = emoConfig.get("eegFields") + emoConfig.get("gyroFields")
self.signals = signals
def _initPlotter(self, logScale):
self.plotter = []
for clazz in PLOTTER:
plotter = clazz(self.name, self.eegData, self.signals, self.filePath, self.save, self.plot, logScale)
thread = Process(target=plotter.doPlot)
self.plotter.append(thread)
def main(self):
self.doPlot()
self.collect_stats()
self.printStats()
#self.plotFFT()
[plot.join() for plot in self.plotter]
self.queue.put(self.stats)
def doPlot(self):
for thread in self.plotter:
thread.start()
def collect_stats(self):
self.collectGeneralStats()
self.fftData = {}
for signal in self.signals:
self.stats[SIGNALS_KEY][signal] = {}
self.collectRawStats(signal)
def plotFFT(self):
for freq in FREQ_RANGE:
plotter = FrequencyPlotter(str(freq)+"_"+self.name, self.eegData, self.signals, self.filePath, self.fftData, freq, self.save, self.plot)
thread = Process(target=plotter.doPlot)
self.plotter.append(thread)
thread.start()
def collectGeneralStats(self):
self._addGeneralStatValue("file path", self.filePath)
self._addGeneralStatValue("sampleRate", ("%f.2" % self.eegData.getSamplingRate()))
self._addGeneralStatValue("dataLength", ("%d" % self.eegData.len))
self._addGeneralStatValue("bound", ("%d - %d" % (self.qu.lowerBound, self.qu.upperBound)))
self._addGeneralTimeStat("start time", "getStartTime", TIME_FORMAT_STRING)
self._addGeneralTimeStat("end time", "getEndTime", TIME_FORMAT_STRING)
self._addGeneralTimeStat("duration", "getDuration", DURATION_FORMAT_STRING)
def _addGeneralTimeStat(self, name, method, formatString):
time = getattr(self.eegData, method)()
value = self._buildFormattedTime(time, formatString)
self._addGeneralStatValue(name, value)
def _buildFormattedTime(self, time, formatString):
value = datetime.fromtimestamp(time).strftime(formatString)
return value
def _addGeneralStatValue(self, name, value):
self.stats[GENERAL_KEY][name] = value
def collectRawStats(self, signal):
data = self.eegData.getColumn(signal)
self._collectSignalStat(signal, RAW_KEY, data)
def _collectSignalStat(self, signal, category, data):
self.stats[SIGNALS_KEY][signal][category] = OrderedDict()
windows = self.getWindows(data)
for field, attributes in self.statFields.iteritems():
fieldValues = []
for window in windows:
sigStat = self._getSignalStat(attributes["method"], window)
fieldValues.append(sigStat)
merged = self._mergeValues(fieldValues, field)
self._addSignalStatValue(signal, category, field, merged)
self._addFFT(signal, category, windows)
def _addFFT(self, signal, category, windows):
ffts = []
for window in windows:
ffts.append(self._getFreqValues(window))
ffts = array(ffts).transpose()
fftDict = {}
for i, fft in zip(FREQ_RANGE, ffts):
fftDict[str(i)] = fft
merged = nanmean(fft)
self._addSignalStatValue(signal, category, str(i), merged)
self.fftData[signal] = fftDict
def getWindows(self, raw):
windows = []
for start in range(0, len(raw), self.windowSize / 2):
end = start + self.windowSize
if end <= len(raw):
windows.append(raw[start:end])
return windows
def _getSignalStat(self, method, raw):
return method(raw)
def _getFreqValues(self, raw):
fft = self.fft.fft(raw)
return [fft[freq] for freq in FREQ_RANGE]
def _addSignalStatValue(self, signal, category, name, value):
self.stats[SIGNALS_KEY][signal][category][name] = value
def _mergeValues(self, values, field):
typ = self.statFields[field][TYPE]
if typ == MAX_TYPE:
return nanmax(values)
if typ == MIN_TYPE:
return nanmin(values)
if typ == AGGREGATION_TYPE:
return nansum(values)
if typ == MEAN_TYPE:
return nanmean(values)
if typ == DIFF_TYPE:
return nanmean(values)
def printStats(self):
content = self.ssPrint.getSignalStatsString(self.stats)
print content
if self.save:
filePath = getNewFileName(str(self.filePath), "txt", "_" + self.name)
self.ssPrint.saveStats(filePath, content)