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Clean Heartbeats: Mastering PPG Denoising with Butterworth Filters and Adaptive Thresholding (opens in new tab)

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If you've ever tried building a wearable app, you know the struggle: Heart Rate Variability (HRV) is the holy grail of recovery metrics, but raw data from a PPG (Photoplethysmogram) sensor is essentially a chaotic mess of noise and motion artifacts. Extracting a clean physiological signal from a finger or wrist sensor requires a robust signal processing pipeline. In this guide, we will dive deep into HRV analysis and PPG signal processing using Python. We’ll implement a high-order Butterworth...

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