We provide API for physiological signal processing, enabling researchers and companies to analyze raw data such as PPG or ECG without building algorithms from scratch. Our goal: make biomedical signal analysis faster, reproducible, and accessible worldwide.
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I started this project during my PhD in biomedical signal processing. Back then, I realized researchers (including myself) spend too much time reinventing the wheel: writing peak detection algorithms for PPG, EKG and signal cleaning code instead of focusing on the real science.
That’s how this API was born — a cloud-based service that lets you send physiological signals (PPG, ART, ABP, ECG) and instantly get back fiducial points and arrhythmia analysis. No more maintaining complex libraries, just plug & play signal intelligence.
What makes it different?
*It’s cloud-native: works at scale, no heavy local computation.
*Focused on practical, clinically-relevant outputs (fiducial points, arrhythmia status) instead of endless stats.
*Built with researchers and innovators in mind - reproducible and easy to integrate.
This is just the beginning. My vision is to keep adding more signal types and advanced features (automatic signal type detection, beta features for early adopters).
I’d love your feedback!
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