Unveiling Hidden Patterns: Harnessing the Power of Short PPG-Traces for Atrial Fibrillation Detection
Published in IEEE 19th International Conference on Body Sensor Networks (BSN), 2023
Recommended citation: Peris-Lopez, P., Fuster-Barceló, C., Camara, C., & Martin, H. (2023). *Unveiling Hidden Patterns: Harnessing the Power of Short PPG-Traces for Atrial Fibrillation Detection*. IEEE BSN 2023. https://ieeexplore.ieee.org/abstract/document/10331002 https://ieeexplore.ieee.org/abstract/document/10331002
Unveiling Hidden Patterns: Harnessing the Power of Short PPG-Traces for Atrial Fibrillation Detection
Presented at: IEEE BSN 2023, Cambridge, UK
🔍 Summary
This study explores atrial fibrillation (AF) detection through short photoplethysmography (PPG) traces by drawing analogies with:
- Cardiologists’ acoustic evaluation of cardiac rhythms
- Musical signal analysis (pitch, timbre, and scalograms)
Using musical features extracted from PPG signals, the work compares:
- A handcrafted feature approach reaching 89% accuracy
- A CNN + CBAM attention module achieving up to 95% accuracy
💡 Significance
- Shows that shortened PPG recordings (instead of ECG) are sufficient and reliable for AF detection.
- Competitive with FDA-approved ECG-based solutions, but simpler, faster, and cheaper.
- Demonstrates the universal potential of music-inspired signal interpretation in biomedical sensing.
Let me know when you’re ready for the next one.