Personalized and Explainable Blood Pressure Estimation From PPG via Hybrid CNN–Morphological Features

Continuous cuffless blood pressure (BP) monitoring using photoplethysmography (PPG) offers a promising solution for personalized healthcare. However, existing methods have two major limitations. Handcrafted feature-based approaches rely on precise fiducial point detection and are limited to short-te...

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書誌詳細

主要な著者:	Myung-Kyu Yi, Jongshill Lee, Jeyeon Lee, In Young Kim
フォーマット:	Artigo
言語:	Inglês
出版事項:	IEEE 2026-01-01
シリーズ:	IEEE Access
主題:	Blood pressure estimation photoplethysmography (PPG) morphological features personalized healthcare hybrid CNN model interpretable deep learning
オンライン･アクセス:	https://ieeexplore.ieee.org/document/11366849/
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