A machine learning strategy for fast prediction of cardiac function based on peripheral pulse wave

• Published in: Computer methods and programs in biomedicine Vol. 216; p. 106664
• Main Authors: Wang, Sirui, Wu, Dandan, Li, Gaoyang, Song, Xiaorui, Qiao, Aike, Li, Ruichen, Liu, Youjun, Anzai, Hitomi, Liu, Hao
• Format: Journal Article
• Language: English
• Published: Ireland Elsevier B.V 01.04.2022
• Subjects: Cardiovascular disease (CVD); Cardiovascular Diseases - diagnosis; Cardiovascular function; Heart Rate; Humans; Machine Learning; Pulse wave; Pulse Wave Analysis - methods; Stroke Volume; Pulse wave; Cardiovascular function; Machine learning; Cardiovascular disease (CVD)

•A machine learning strategy is proposed for predicting cardiac function based on peripheral pulse waves.•Two high-quality datasets are created for health- and cardiovascular disease-subject groups.•The model enables the prediction of three cardiac function parameters fast and accurately.•The model...