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[Docs] Add info about NK ECG peak detection method #1020

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Aug 6, 2024
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4 changes: 3 additions & 1 deletion neurokit2/ecg/ecg_peaks.py
Original file line number Diff line number Diff line change
Expand Up @@ -17,7 +17,9 @@ def ecg_peaks(ecg_cleaned, sampling_rate=1000, method="neurokit", correct_artifa

* **neurokit** (default): QRS complexes are detected based on the steepness of the absolute
gradient of the ECG signal. Subsequently, R-peaks are detected as local maxima in
the QRS complexes. Unpublished, but see https://github.com/neuropsychology/NeuroKit/issues/476
the QRS complexes. The method is unpublished, but see: (i) https://github.com/neuropsychology/NeuroKit/issues/476
for discussion of this algorithm; and (ii) https://doi.org/10.21105/joss.02621 for the original validation of
this algorithm.
* **pantompkins1985**: Algorithm by Pan & Tompkins (1985).
* **hamilton2002**: Algorithm by Hamilton (2002).
* **zong2003**: Algorithm by Zong et al. (2003).
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