README.md rev. 10 Feb 2023 by Luca Cerina. Copyright (c) 2023 Luca Cerina. Distributed under the Apache 2.0 License in the accompanying file LICENSE.
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ampdLib implements automatic multiscale-based peak detection (AMPD) algorithm as in An Efficient Algorithm for Automatic Peak Detection in Noisy Periodic and Quasi-Periodic Signals, by Felix Scholkmann, Jens Boss and Martin Wolf, Algorithms 2012, 5, 588-603.
- Python >= 3.6
- Numpy
- Scipy for tests
The library can be easily installed with setuptools support using pip install . or via PyPI with pip install ampdlib
A simple example is:
peaks = ampdlib.ampd(input)
AMPD may require a lot of memory (N*(lsm_limit*N/2) bytes for a given length N and default lsm_limit). A solution is to divide the signal in windows with ampd_fast or ampd_fast_sub or determine a better lsm_limit for the minimum distance between peaks required by the use case with
The tests folder contains an ECG signal with annotated peaks in matlab format.
If you feel generous and want to show some extra appreciation:
