Hello devs,
During my PhD research in physiological signal processing, I often felt like I was reinventing the wheel. Writing peak detection functions, debugging fiducial point detection, handling corrupted data segments — all before I could actually focus on the research.
That’s why I created an API that lets you process physiological signals (PPG, arterial blood pressure, EKG, oscillometric BP, etc.) in the cloud.
Instead of spending hours building pipelines, you just send your signal data, and the API returns the key features:
📍 Fiducial points (e.g., SYS, DIA)
❤️ Arrhythmia pattern detection
🔜 (Coming soon) Specific cardiovascular markers estimation
🌍 Why an API?
- No need for heavy local computation: works even if your laptop isn’t powerful.
- Always up to date: no libraries to install or maintain, features get updated in the cloud.
- Scalable: from individual researchers to companies, anyone can access advanced analysis through a simple request.
- Cost-effective: you don’t need to buy large commercial software packages or analytics tools from big companies — you just use the API when you need it.
⚙️ How it works
📤 1. You send your signal samples in CSV format together with the sampling frequency (Hz).
🧠 2. The API runs on our server and applies proprietary algorithms for signal processing.
📥 3. You instantly get back the results: fiducial point locations and arrhythmia analysis.
That’s it. Simple, fast, and reproducible.
🙌 Feedback
👉 Try the live demo here: https://beatwell.tech/demo
I’d love to hear from you:
Which features would be most useful for your research or projects?
What other types of analysis would you want to see in the API?
Top comments (0)