DigitalBiomarkerDiscoveryPipeline / Heart-Rate-Variability

Calculates time and frequency domain heart rate variability metrics (validated in Kubios) from RR interval (ECG) or IBI (PPG).

Heart Rate Variability

Objectives: Heart rate variability (HRV) is the physiological phenomenon of the variation in the time interval between consecutive heartbeats in milliseconds. Higher HRV has been found to be associated with reduced morbidity and mortality and improved psychological well-being and quality of life. HRV is regulated by the autonomic nervous system and is thus an important indicator of nervous system function. HRV is a potential digital biomarker for a number of diseases and conditions.

Input: RR intervals (ECG) or IBI intervals (wearable watch)

Output: HRV (time domain and frequency domain) metrics, validated by Kubios, the clinical HRV standard

Code Available Now:

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• DBDP.ipynb - Python Notebook with function that calculates Heart Rate Variability (HRV) metrics from IBI/RR intervals

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Sources:

• https://www.firstbeat.com/en/blog/what-is-heart-rate-variability-hrv/