I’ve been reading a lot about challenges in PPG/ABP/ART signal processing, especially when it comes to noise, artifacts, arrhythmic patterns, and the extraction of fiducial points or respiratory patterns.

What methods or tools do you typically use for systolic peak detection in your research?

Recently, my team experimented with an API that applies AI for differentiating true systolic peaks from noise/artifacts, and also includes a novel parameter for arrhythmia detection. We put together a small online demo to test it with sample signals: https://beatwell.tech/demo

I’m really curious to hear what approaches others are using, and whether a tool like this could be useful in your workflows.