Predicting Arterial Stiffness from Single-Channel Photoplethysmography Signal: A Feature Interaction-Based Approach

• Published in: IEEE journal of biomedical and health informatics Vol. 28; no. 7; pp. 1 - 12
• Main Authors: Chen, Yawei, Yang, Xuezhi, Song, Rencheng, Liu, Xuenan, Zhang, Jie
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.07.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Adult; Aging; Algorithms; Arterial stiffness; Arteriosclerosis; Atherosclerosis; Effectiveness; Estimation; Feature extraction; Feature interaction; Feature selection; Female; Females; Fingers; Humans; Interception; Male; Males; Middle Aged; Photoplethysmography; Photoplethysmography - methods; Physiology; Pulse wave velocity; Redundancy; Signal Processing, Computer-Assisted; Signal quality; Signal to noise ratio; Stiffness; Vascular Stiffness - physiology; Young Adult

Arterial stiffness (AS) serves as a crucial indicator of arterial elasticity and function, typically requiring expensive equipment for detection. Given the strong correlation between AS and various photoplethysmography (PPG) features, PPG emerges as a convenient method for assessing AS. However, the...