Hardware Accelerators for Cardiovascular Signal Processing: A System-on-Chip Perspective
Rami Hariri, Marcian Cirstea, Mahdi Maktab Dar Oghaz, Khaled Benkrid, Oliver Faust · 2025
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Description
Hariri and co-authors survey in 2025 hardware accelerators for heart signal processing, from a system on chip view. Heart disease leads global death and illness, which drives demand for fast, accurate monitors. Their review covers ECG, PPG, and blood pressure systems built for real time use.
Following standard review guidance, they analyzed 59 papers from 2014 to 2024. Work splits into signal cleaning, feature extraction, and decision support by machine learning. Benchmarks span energy, speed, and clinical accuracy. Hybrid chip designs and edge AI accelerators look most promising for next generation monitors. Gaps named include ultra low power and robustness at clinical scale.
Catalog record
| CREATOR | Rami Hariri, Marcian Cirstea, Mahdi Maktab Dar Oghaz, Khaled Benkrid, Oliver Faust |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 41 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |