A Two-Branch ResNet-BiLSTM Deep Learning Framework for Extracting Multimodal Features Applied to PPG-Based Cuffless Blood Pressure Estimation

Cardiovascular disease is a major health threat closely associated with blood pressure levels. While continuous monitoring is essential, traditional cuff-based devices are inconvenient for long-term use. Current methods often fail to balance deep learning capabilities with interpretability, limiting...

詳細記述

書誌詳細

出版年:	Sensors
主要な著者:	Zenan Liu, Minghong Qiao, Yezi Liu, Jing Zhang, Ling He
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2025-06-01
主題:	cuffless blood pressure estimating photoplethysmography (PPG) physiological signals deep learning feature extraction
オンライン･アクセス:	https://www.mdpi.com/1424-8220/25/13/3975