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import numpy as np
import pybdf
from biosppy.signals import ecg
from pyVHR.datasets.dataset import Dataset
from pyVHR.signals.ecg import ECGsignal
class MAHNOB(Dataset):
"""
Mahnob dataset structure:
-----------------
datasetDIR/
|
||-- vidDIR1/
| |-- videoFile.avi
| |-- physioFile.bdf
|...
|...
"""
name = 'MAHNOB'
signalGT = 'ECG' # GT signal type
numLevels = 2 # depth of the filesystem collecting video and BVP files
numSubjects = 40 # number of subjects
video_EXT = 'avi' # extension of the video files
frameRate = 20 # video frame rate
VIDEO_SUBSTRING = 'Section' # substring contained in the filename
SIG_EXT = 'bdf' # extension of the ECG files
SIG_SUBSTRING = 'emotion' # substring contained in the filename
SIG_SampleRate = 256 # sample rate of the ECG files
def readSigfile(self, filename):
""" Load ECG signal.
Return a 2-dim signal (t, bmp(t))
"""
bdfRec = pybdf.bdfRecording(filename)
rec = bdfRec.getData(channels=[33])
self.SIG_SampleRate = bdfRec.sampRate[33]
data = np.array(rec['data'][0])[rec['eventTable']['idx'][2]:]
return ECGsignal(data, self.SIG_SampleRate)
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