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utilities.py
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utilities.py
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# (c) 2016 JUIGIL KISHORE ALL RIGHTS RESERVED
import numpy
import features
import manager
from constants import WAVELET_DECOMPOSITION_LEVEL, MOTHER_WAVELET
def load_ecg_beat_file(file_path):
"""Load a ecg file - single beat (.csv file)
:param file_path: Path of the single ecg beat file
:return: ecg single beat data from the file as list
"""
# TODO: Complete this
with open(file_path, 'r') as ecg_beat:
pass
return
def load_train_file(file_path):
"""Load a ecg file - single beat for different heart ailments
:param file_path: Path of the single ecg beat file
:return: Numpy matrix of ecg beat data (N x samples)and
Numpy matrix of mapped heart ailment (N x 4)
"""
# TODO: Complete this
ecg_data = None
ecg_label = None
with open(file_path, 'r') as ecg_file:
pass
return ecg_data, ecg_label
def get_features(ecg_data):
"""Returns the wavelet features to be trained by the combined neural net
algorithm
:param ecg_data: Numpy matrix of ecg beat data (N x samples)
:return: Numpy matrix of ecg beat features (N x 19)
"""
ecg_features = []
wavlet = features.WaveletFeatures(ecg_data, mother_wavelet=MOTHER_WAVELET,
level=WAVELET_DECOMPOSITION_LEVEL)
ecg_features = wavlet.get_features()
return numpy.matrix(ecg_features)