Quantitative and real-time evaluation of human respiration signals with a shape-conformal wireless sensing system

• Main Authors: Chen, Sicheng, Qian, Guocheng, Ghanem, Bernard, Wang, Yongqing, Shu, Zhou, Zhao, Xuefeng, Yang, Lei, Liao, Xinqin, Zheng, Yuanjin
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Electrical and electronic engineering; Machine Learning; Physiological Status Monitoring
• Online Access: https://hdl.handle.net/10356/168681
• Institution: Nanyang Technological University

Respiration signals reflect many underlying health conditions, including cardiopulmonary functions, autonomic disorders and respiratory distress, therefore continuous measurement of respiration is needed in various cases. Unfortunately, there is still a lack of effective portable electronic devices...