HRV Artifact Correction

Versión 1.0.3 (134 KB) por Spectro
Heart rate variability time series artifact correction

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Actualizado 10 Mar 2022

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HRV time series artifact correction
Heart rate variability (HRV) is a standard metric for assessing autonomic nervous system function, psychophysiological stress, and exercise intensity and recovery. Extra, missing, or misaligned beat detections in HRV measurements can cause severe distortion in HRV analysis.
This repository contains MATLAB code for HRV time series artifact correction based on NeuroKit implementation. The correction algorithm proposed by Lipponen et al. (2019) uses time-varying thresholds calculated from the distribution of successive RR-interval discrepancies paired with a unique beat categorization methodology.
Usage/Examples
The function fixpeaks() has been provided to perform peak correction directly on data stored in MATLAB. The function can be used as follows:
% Load your file containing indices of detected R waves, for example
% peak.txt or use your variable that contains them
load peaks.txt
% Call the main function fixpeaks()
[artifacts, peaks_clean] = fixpeaks(peaks, 500, true, true);
If the last argument show in the function is set to true, the detected artifacts and subspaces described in proposed algorithm by Lipponen et al. (2019) are then visualized. Further input arguments are described in the function itself.

Citar como

Marek Sokol (2022). HRV artifact correction (https://github.com/sokolmarek/hrv-correction), GitHub. Retrieved March 10, 2022.

Compatibilidad con la versión de MATLAB
Se creó con R2022a
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1.0.3

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1.0.2

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1.0.1

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1.0.0

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Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.