The latest articles on DEV Community by Luke (@luke_32c618cbd316e2250257). https://dev.to/luke_32c618cbd316e2250257 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3500048%2Fa4e60dee-d4d2-46fb-a774-6f2a50a669ff.png https://dev.to/luke_32c618cbd316e2250257 en Luke Sat, 13 Sep 2025 17:18:02 +0000 https://dev.to/luke_32c618cbd316e2250257/an-api-for-wellness-data-and-physiological-signal-processing-6dl https://dev.to/luke_32c618cbd316e2250257/an-api-for-wellness-data-and-physiological-signal-processing-6dl <p>Hello devs,</p> <p>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.</p> <p>That’s why I created an API that lets you process physiological signals (PPG, arterial blood pressure, EKG, oscillometric BP, etc.) in the cloud.</p> <p>Instead of spending hours building pipelines, you just send your signal data, and the API returns the key features:</p> <p>📍 Fiducial points (e.g., SYS, DIA)</p> <p>❤️ Arrhythmia pattern detection</p> <p>🔜 (Coming soon) Specific cardiovascular markers estimation</p> <h2> 🌍 Why an API? </h2> <ul> <li> <strong>No need for heavy local computation:</strong> works even if your laptop isn’t powerful.</li> <li> <strong>Always up to date:</strong> no libraries to install or maintain, features get updated in the cloud.</li> <li> <strong>Scalable:</strong> from individual researchers to companies, anyone can access advanced analysis through a simple request.</li> <li> <strong>Cost-effective:</strong> 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.</li> </ul> <h2> ⚙️ How it works </h2> <p>📤 1. You send your signal samples in CSV format together with the sampling frequency (Hz).</p> <p>🧠 2. The API runs on our server and applies proprietary algorithms for signal processing.</p> <p>📥 3. You instantly get back the results: fiducial point locations and arrhythmia analysis.</p> <p>That’s it. Simple, fast, and reproducible.</p> <h2> 🙌 Feedback </h2> <p>👉 Try the live demo here: <a href="https://beatwell.tech/demo" rel="noopener noreferrer">https://beatwell.tech/demo</a></p> <p>I’d love to hear from you:</p> <p>Which features would be most useful for your research or projects?</p> <p>What other types of analysis would you want to see in the API?</p> wellness api ai docker