Evolving Blood Pressure Estimation: From Feature Analysis to Image-Based Deep Learning Models.
Traditional cuffless blood pressure (BP) estimation methods often require collecting physiological signals, such as electrocardiogram (ECG) and photoplethysmography (PPG), from two distinct body sites to compute metrics like pulse transit time (PTT) or pulse arrival time (PAT). While these metrics s...
| Publicado en: | Journal of Medical Systems Vol. 49; no. 1; pp. 1 - 17 |
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| Autores principales: | , , |
| Formato: | algorithm equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
7/9/2025
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| Acceso en línea: | Ver este registro en EBSCOhost |