A system of human vital signs monitoring and activity recognition based on body sensor network

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 机器人学研究室

	A system of human vital signs monitoring and activity recognition based on body sensor network
	Wang ZL(王哲龙); Zhao, Cong; Qiu, Sen
刊名	Sensor Review
	2014
卷号	34 期号:1 页码:42-50
关键词	Blood pressure Body sensor networks Decision trees Face recognition Heart Motion estimation Oxygen Patient monitoring Sensor nodes Telemedicine
ISSN号	0260-2288
通讯作者	Zhao, Cong
产权排序	1
中文摘要	Purpose - The purpose of this paper is to develop a health monitoring system that can measure human vital signs and recognize human activity based on body sensor network (BSN). Design/methodology/approach - The system is mainly composed of electrocardiogram (ECG) signal collection node, blood oxygen signal collection node, inertial sensor node, receiving node and upper computer software. The three collection nodes collect ECG signals, blood oxygen signals and motion signals. And then collected signals are transmitted wirelessly to receiving node and analyzed by software in upper computer in real-time. Findings - Experiment results show that the system can simultaneously monitor human ECG, heart rate, pulse rate, SpO2 and recognize human activity. A classifier based on coupled hidden Markov model (CHMM) is adopted to recognize human activity. The average recognition accuracy of CHMM classifier is 94.8 percent, which is higher than some existent methods, such as supported vector machine (SVM), C4.5 decision tree and naive Bayes classifier (NBC). Practical implications - The monitoring system may be used for falling detection, elderly care, postoperative care, rehabilitation training, sports training and other fields in the future. Originality/value - First, the system can measure human vital signs (ECG, blood pressure, pulse rate, SpO2, temperature, heart rate) and recognizes some specific simple or complex activities (sitting, lying, go boating, bicycle riding). Second, the researches of using CHMM for activity recognition based on BSN are extremely few. Consequently, the classifier based on CHMM is adopted to recognize activity with ideal recognition accuracies in this paper.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Instruments & Instrumentation
研究领域[WOS]	Instruments & Instrumentation
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000330600500006
内容类型	期刊论文
源URL	[http://ir.sia.cn/handle/173321/14721]
专题	沈阳自动化研究所_机器人学研究室
推荐引用方式 GB/T 7714	Wang ZL,Zhao, Cong,Qiu, Sen. A system of human vital signs monitoring and activity recognition based on body sensor network[J]. Sensor Review,2014,34(1):42-50.
APA	Wang ZL,Zhao, Cong,&Qiu, Sen.(2014).A system of human vital signs monitoring and activity recognition based on body sensor network.Sensor Review,34(1),42-50.
MLA	Wang ZL,et al."A system of human vital signs monitoring and activity recognition based on body sensor network".Sensor Review 34.1(2014):42-50.