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Heart Rate Variability (HRV) Extraction from ECG Signals

This repository contains MATLAB code for extracting Heart Rate Variability (HRV) from Electrocardiogram (ECG) signals. The code has been applied in research on autonomic arounsals1 and the detection of sleep-disordered breathing2.

HRV extraction algorithm on raw ECG signals

Features

  • R peak detection algorithm from raw ECG data
  • Ectopic beat detection
  • Extract HRV signals from raw ECG data
  • Suitable for use in sleep disorder research

Requirements

  • MATLAB: Version R2018b or later
  • Toolboxes:
    • Signal Processing Toolbox
    • Bioinformatics Toolbox

Installation

  1. Clone this repository to your local machine:

    git clone https://github.com/MADSOLSEN/hrv-extraction.git
  2. Navigate to the project directory:

    cd hrv-extraction
  3. Open MATLAB and run the main script test.m to process a sample ECG:

    test.m

Publications

This code was used in the following journal publications:

Contact

For any inquiries or issues, please contact somnio.ai@gmail.com.

Footnotes

  1. Olsen, M., Schneider, L. D., Cheung, J., Peppard, P. E., Jennum, P. J., Mignot, E., & Sørensen, H. B. D. (2018). Automatic, electrocardiographic-based detection of autonomic arousals and their association with cortical arousals, leg movements, and respiratory events in sleep. Sleep, 41(3), zsy006. https://doi.org/10.1093/sleep/zsy006

  2. Olsen, M., Mignot, E., Jennum, P. J., & Sørensen, H. B. D. (2020). Robust, ECG-based algorithm for Sleep Disordered Breathing detection in large population-based cohorts using an automatic, data-driven approach. Sleep, 43(5), Article zsz276. https://doi.org/10.1093/sleep/zsz276

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extracts heart rate variability (HRV) from ECG signal

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