paulvangentcom/heartrate_analysis_python

Health v2 · maintenance only

Adoption not part of the score

1137 stars · 348 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

HeartPy is a Python library for analyzing heart rate from PPG (photoplethysmography) and ECG signals, including noisy and low-resolution wearable data. It provides peak detection, filtering, and heart rate metrics with tutorial notebooks for smartwatch and smart ring data.

Use cases

• analyze heart rate from ppg sensor data in python
• extract bpm from ecg signal
• process smartwatch pulse data to get heart rate
• detect peaks in noisy photoplethysmography recordings
• compute heart rate variability metrics from wearable data
• analyze smart ring ppg signals

When to choose

• you need to analyze PPG or ECG signals in Python without building signal processing from scratch
• you work with low-resolution or noisy wearable sensor data like smartwatches or rings
• you want a well-documented library with tutorial notebooks for heart rate analysis

When to avoid

• you need real-time clinical-grade heart rate monitoring or medical certification
• you require full HRV analysis beyond heart rate metrics
• you work outside Python or need GPU-accelerated large-scale signal processing

Facets

library · maturity active

data-science analytics healthcare data-science bioinformatics python cross-platform heart-rate ppg ecg biomedical-signal-processing wearables signal-processing

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