Camera-based physiological measurement: Recent advances and future prospects

被引:11
作者
Wang, Jieying [1 ]
Shan, Caifeng [2 ,3 ]
Liu, Lin [2 ]
Hou, Zongshen [2 ]
机构
[1] Shandong Univ Sci & Technol, Coll Comp Sci & Engn, Qingdao 266590, Peoples R China
[2] Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao 266590, Peoples R China
[3] Nanjing Univ, Sch Intelligence Sci & Technol, Nanjing 210023, Peoples R China
基金
中国国家自然科学基金;
关键词
Remote photoplethysmography (rPPG); Imaging photoplethysmography (iPPG); Vital signs monitoring; Optical imaging; Deep learning; HEART-RATE ESTIMATION; EMPIRICAL MODE DECOMPOSITION; OXYGEN-SATURATION; REMOTE PHOTOPLETHYSMOGRAPHY; NONCONTACT MEASUREMENT; RATE-VARIABILITY; U-NET; VIDEO; TIME; ROBUST;
D O I
10.1016/j.neucom.2024.127282
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Camera -based measurement of vital signs utilizes imaging equipment to measure physiological changes by analyzing human body images. The contactless physiological measurement provides benefits across various fields, from healthcare and clinical trial to telemedicine and exercise scenarios. On the basis of advances in medicine, optics, and computer vision, these technologies have made significant progress. Research in this area has grown exponentially in recent years. In this review, we provide a comprehensive and meticulous overview of camera -based measurements of physiological vital signs, including four aspects: data acquisition, methodology, vital signs and applications. It covers the measurement of heart rate, heart rate variability, respiratory rate, blood pressure, and oxygen saturation, using various technologies including motion detection, signal processing, and deep learning. We also present newly released datasets and applications in new areas. At last, future promising prospects and potential research directions are also discussed.
引用
收藏
页数:25
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