PreProcessor#

class torch_ecg._preprocessors.PreProcessor[source]#

Bases: ReprMixin, ABC

Base class for preprocessors.

abstractmethod apply(sig: ndarray[tuple[Any, ...], dtype[_ScalarT]], fs: int | float) → Tuple[ndarray[tuple[Any, ...], dtype[_ScalarT]], int | float][source]#

Apply the preprocessor to sig.

Parameters:

sig (numpy.ndarray) – The ECG signal, can be - 1d array, which is a single-lead ECG; - 2d array, which is a multi-lead ECG of “lead_first” format; - 3d array, which is a tensor of several ECGs, of shape (batch, lead, siglen).
fs (int or float) – Sampling frequency of the ECG signal.