Small-Scale Perception in Medical Body Area Networks

doi:10.1109/JTEHM.2019.2951670

	Small-Scale Perception in Medical Body Area Networks
	Fan, Dou 1; Ren, Aifeng 1; Zhao, Nan 1; Haider, Daniyal 1; Yang, Xiaodong 1; Tian, Jie 2,3
发表期刊	IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE-JTEHM
ISSN	2168-2372
	2019
卷号	7 页码:11
通讯作者	Yang, Xiaodong(xdyang@xidian.edu.cn) ; Tian, Jie(jaytian99@gmail.com)
摘要	Objective: Non-invasive respiration detection methods are of great value to healthcare applications and disease diagnosis with their advantages of minimizing the patient's physical burden and lessen the requirement of active cooperation of the subject. This method avoids extra preparations, reduces environmental constraints, and strengthens the possibility of real-time respiratory detection. Furthermore, identifying abnormal breathing patterns in real-time is necessary for the diagnosis and monitoring of possible respiratory disorders. Method: A non-invasive method for detecting multiple breathing patterns using C-band sensing technique is presented, which is used for identifying different breathing patterns in addition to extract respiratory rate. We first evaluate the feasibility of this non-contact method in measuring different breathing patterns. Then, we detect several abnormal breathing patterns associated with certain respiratory disorders at real time using C-band sensing technique in indoor environment. Results: Mean square error (MSE) and correlation coefficient (CC) are used to evaluate the correlation between C-band sensing technique and contact respiratory sensor. The results show that all the MSE are less than 0.6 and all CC are more than 0.8, yielding a significant correlation between the two used for detecting each breathing pattern. Clinical Impact: C-band sensing technique is not only used to determine respiratory rates but also to identify breathing patterns, regarding as a preferred noncontact alternative approach to the traditional contact sensing methods. C-band sensing technique also provides a basis for the non-invasive detection of certain respiratory disorders.
关键词	Sensors Monitoring Wireless sensor networks Wireless communication Channel state information OFDM Real-time systems Breathing patterns C-band sensing technique non-invasive detection respiratory rate
DOI	10.1109/JTEHM.2019.2951670
关键词[WOS]	SYSTEM
收录类别	SCI
语种	英语
资助项目	Fundamental Research Funds for the Central Universities[JB180205] ; National Natural Science Foundation of China[61301175] ; National Natural Science Foundation of China[61671349] ; National Natural Science Foundation of China[61671349] ; National Natural Science Foundation of China[61301175] ; Fundamental Research Funds for the Central Universities[JB180205]
项目资助者	National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities
WOS研究方向	Engineering
WOS类目	Engineering, Biomedical
WOS记录号	WOS:000501202500001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
七大方向——子方向分类	其他
引用统计	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/29348
专题	中国科学院分子影像重点实验室
通讯作者	Yang, Xiaodong; Tian, Jie
作者单位	1.Xidian Univ, Sch Elect Engn, Xian 710071, Shaanxi, Peoples R China 2.Xidian Univ, Sch Life Sci & Technol, Xian 710126, Shaanxi, Peoples R China 3.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Fan, Dou,Ren, Aifeng,Zhao, Nan,et al. Small-Scale Perception in Medical Body Area Networks[J]. IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE-JTEHM,2019,7:11.
APA	Fan, Dou,Ren, Aifeng,Zhao, Nan,Haider, Daniyal,Yang, Xiaodong,&Tian, Jie.(2019).Small-Scale Perception in Medical Body Area Networks.IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE-JTEHM,7,11.
MLA	Fan, Dou,et al."Small-Scale Perception in Medical Body Area Networks".IEEE JOURNAL OF TRANSLATIONAL ENGINEERING IN HEALTH AND MEDICINE-JTEHM 7(2019):11.