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Correction of the eeg_processing.py function: #24

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Correction of the eeg_processing.py function: #24

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Correction:
rafael-mannarelli Mar 5, 2024
e55fbb1
Function fix in eeg_processing.py
rafael-mannarelli Mar 26, 2024
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17 changes: 9 additions & 8 deletions pynacollada/eeg_processing/eeg_processing.py
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Original file line number Diff line number Diff line change
Expand Up @@ -103,26 +103,27 @@ def detect_oscillatory_events(lfp, epoch, freq_band, thres_band, duration_band,
nSS = (nSS - np.mean(nSS))/np.std(nSS)
nSS = nap.Tsd(t = signal.index.values, d=nSS, time_support=epoch)

# Round1 : Detecting Oscillation Periods by thresholding normalized signal
# Round 1: Detecting Oscillation Periods by thresholding normalized signal
nSS2 = nSS.threshold(thres_band[0], method='above')
nSS3 = nSS2.threshold(thres_band[1], method='below')

# Round 2 : Excluding oscillation whose length < min_duration and greater than max_duration
# Round 2: Excluding oscillation whose length < min_duration and greater than max_duration
osc_ep = nSS3.time_support
osc_ep = osc_ep.drop_short_intervals(duration_band[0], time_units = 's')
osc_ep = osc_ep.drop_long_intervals(duration_band[1], time_units = 's')

# Round 3 : Merging oscillation if inter-oscillation period is too short
# Round 3: Merging oscillation if inter-oscillation period is too short
osc_ep = osc_ep.merge_close_intervals(min_inter_duration, time_units = 's')
osc_ep = osc_ep.reset_index(drop=True)

# Extracting Oscillation peak
# Round 4: Extracting Oscillation peak
osc_max = []
osc_tsd = []
for s, e in osc_ep.values:
tmp = nSS.loc[s:e]
osc_tsd.append(tmp.idxmax())
osc_max.append(tmp.max())

for i in osc_ep.index.values:
tmp = nSS.restrict(osc_ep.loc[[i]])
osc_tsd.append(tmp.t[np.argmax(tmp)])
osc_max.append(np.max(tmp))

osc_max = np.array(osc_max)
osc_tsd = np.array(osc_tsd)
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