A Hybrid Windkessel-Neural Approach for Improved Noninvasive Blood Pressure Monitoring
Owing to the recent advancements in wearable devices for health care, the importance of BP estimation without cuffs increases. Cuff technologies are inappropriate for continuous BP measurement due to their inconvenient usage, invasive character, necessity of calibration, large size, and inability to perform long-term monitoring. Normally, the algorithm used for cuffless BP prediction employs machine learning models that operate according to the data-driven approach. However, although they show high numerical accuracy, ML models do not provide any interpretability, resulting in poor physiological validity and clinical applicability. We propose a combination of Windkessel and ML models that...
| Authors | Vaibhav Gollapalli, Aniruth Ananthanarayanan |
|---|---|
| Primary category | eess.SP |
| Published | 21 April 2026 |
| Last updated at source | 21 April 2026 |
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