torch_ecg.utils.get_ampl#
- torch_ecg.utils.get_ampl(sig: ndarray, fs: Real, fmt: str = 'lead_first', window: Real = 0.2, critical_points: Sequence | None = None) float | ndarray[source]#
Get amplitude of a signal (near critical points if given).
- Parameters:
sig (numpy.ndarray) – (ECG) signal.
fs (numbers.Real) – Sampling frequency of the signal
fmt (str, default "lead_first") – Format of the signal, can be “channel_last” (alias “lead_last”), or “channel_first” (alias “lead_first”). Ignored if sig is 1d array (single-lead).
window (int, default 0.2) – Window length of a window for computing amplitude, with units in seconds.
critical_points (numpy.ndarray, optional) – Positions of critical points near which to compute amplitude, e.g. can be rpeaks, t peaks, etc.
- Returns:
ampl – Amplitude of the signal.
- Return type: