ecgdata module

class ecgdata.EcgData(filename, data, mean_hr_bpm=None, voltage_extremes=None, duration=None, num_beats=None, beats=None)

autocorrelate()

Returns number of samples in dataset and indices of peaks in voltages and the autocorrelation of voltages

Parameters:self – pandas DataFrame containing ecg data with two columns: time and voltage Returns:number of samples in dataset Returns:indices of peaks in voltages Returns:indices of peaks in the autocorrelation of voltages

butter_bandpass()

Returns bandpass-filtered voltages

Parameters:self – pandas DataFrame containing ecg data with two columns: time and voltage Returns:bandpass-filtered voltages Returns:number of samples

calc_mean_hr(time_period)

Returns mean heart rate

Parameters:self – pandas DataFrame containing ecg data with two columns: time and voltage Returns:mean heart rate in beats per minute

get_beat_times()

Returns times when a beat occurred

Parameters:self – pandas DataFrame containing ecg data with two columns: time and voltage Returns:numpy array of times (in seconds) when a beat occurred

set_duration(time_unit)

Returns duration of ECG recording

Parameters:

• self – pandas DataFrame containing ecg data with two columns: time and voltage
• time_unit – user input for unit of time

Returns:

duration of ECG recording in seconds and adjusts time in self.data to be seconds

set_v_extremes()

Detects minimum and maximum lead voltages

Parameters:self – pandas DataFrame containing ecg data with two columns: time and voltage Returns:tuple containing minimum and maximum lead voltages