Psychological Stress Level Detection Based on Heartbeat Mode

doi:10.3390/app12031409

HFCAS OpenIR

	Psychological Stress Level Detection Based on Heartbeat Mode
	Hu, Dun 1,2; Gao, Lifu1
	2022-02-01
发表期刊	APPLIED SCIENCES-BASEL
通讯作者	Gao, Lifu(lifugao@iim.ac.cn)
摘要	The effective detection and quantification of mental health has always been an important research topic. Heart rate variability (HRV) analysis is a useful tool for detecting psychological stress levels. However, there is no consensus on the optimal HRV metrics in psychological assessments. This study proposes an HRV analysis method that is based on heartbeat modes to detect drivers' stress. We used statistical tools for linguistics to detect and quantify the structure of the heart rate time series and summarized different heartbeat modes in the time series. Based on the k-nearest neighbors (k-NN) classification algorithm, the probability of each heartbeat mode was used as a feature to detect and recognize stress caused by the driving environment. The results indicated that the stress from the driving environment changed the heartbeat mode. Stress-related heartbeat modes were determined, facilitating detection of the stress state with an accuracy of 93.7%. We also concluded that the heartbeat mode was correlated to the galvanic skin response (GSR) signal, reflecting real-time abnormal mood fluctuations. The proposed method revealed HRV characteristics that made quantifying and detecting different mental conditions possible. Thus, it would be feasible to achieve personalized analyses to further study the interaction between physiology and psychology.
关键词	autonomic nervous system heartbeat mode heart rate variability k-nearest neighbors stress recognition
DOI	10.3390/app12031409
关键词[WOS]	RATE-VARIABILITY ; WEARABLE SENSORS ; DRIVING STRESS ; METAANALYSIS
收录类别	SCI
语种	英语
WOS研究方向	Chemistry ; Engineering ; Materials Science ; Physics
WOS类目	Chemistry, Multidisciplinary ; Engineering, Multidisciplinary ; Materials Science, Multidisciplinary ; Physics, Applied
WOS记录号	WOS:000756414400001
出版者	MDPI
引用统计	被引频次：4[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.hfcas.ac.cn:8080/handle/334002/127513
专题	中国科学院合肥物质科学研究院
通讯作者	Gao, Lifu
作者单位	1.Chinese Acad Sci, Hefei Inst Phys Sci, Inst Intelligent Machines, Hefei 230031, Peoples R China 2.Univ Sci & Technol China, Dept Sci Isl, Hefei 230026, Peoples R China
推荐引用方式 GB/T 7714	Hu, Dun,Gao, Lifu. Psychological Stress Level Detection Based on Heartbeat Mode[J]. APPLIED SCIENCES-BASEL,2022,12.
APA	Hu, Dun,&Gao, Lifu.(2022).Psychological Stress Level Detection Based on Heartbeat Mode.APPLIED SCIENCES-BASEL,12.
MLA	Hu, Dun,et al."Psychological Stress Level Detection Based on Heartbeat Mode".APPLIED SCIENCES-BASEL 12(2022).