Affiliation:
1. College of Big Data and Internet Shenzhen Technology University Shenzhen Guangdong 518118 China
2. Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen Guangdong 518055 China
3. Southern University of Science and Technology Shenzhen Guangdong 518055 China
4. Experimental Research Center China Academy of Chinese Medicine Sciences Beijing 100700 China
Abstract
AbstractAs one of the important physiological signals of the human body, changes in respiration can provide an important reference for human health and is an early warning signal for some chronic respiratory diseases on heart or lung diseases. Usually, doctors combine such changes with electrocardiograph (ECG), electroencephalograph (EEG), electromyography (EMG), and electrooculogram (EOG) results of the patient to make a comprehensive analysis and judgment of the condition. Traditional respiratory monitoring methods have the limitation that portability and accuracy cannot be balanced; while the wearable respiratory monitoring sensors have come into the public's view due to their excellent performances, such as light weight, fast response, not interfering with the subject's daily movement, and maintaining excellent measurement accuracy, which provide more possibilities for the improvement of the performances of the wearable devices applied in the early stage of chronic diseases.
Funder
National Natural Science Foundation of China