Title :
Estimation of Heart Rate Variability Changes during Different Visual Stimulations Using Non-invasive Continuous ECG Monitoring System
Author :
Wu, Wanqing ; Lee, Jungtae ; Chen, Haifeng
Author_Institution :
Dept. of Comput. Sci. & Eng., Pusan Nat. Univ., Busan, South Korea
Abstract :
Heart rate variability (HRV) analysis is commonly used as a quantitative marker depicting the activity of autonomic nervous system (ANS) that may be related to mental or psychological stress. HRV features can be extracted by detecting QRS complexes from electrocardiogram (ECG) signals. The purpose of this paper is to assess the biological effect of visual stimulus in terms of autonomic nervous activity. A non-invasive multi-channel ECG monitoring system has been designed and implemented to investigate the differences in the heart rate variability (HRV) of individuals during different visual stimulus. HRV analysis revealed increased parasympathetic nervous activity while perceiving the positive visual stimulus, as well as a relative reduction in HRV and cardiac vagal tone in negative visual stimulus, and long term negative visual stimulus may weak the function of ANS which affect our body detrimentally.
Keywords :
bioelectric phenomena; electrocardiography; feature extraction; medical signal detection; neurophysiology; patient monitoring; psychology; visual perception; ANS function; HRV feature extraction; QRS complex detection; autonomic nervous activity; autonomic nervous system; biological effect; cardiac vagal tone; heart rate variability estimation; multichannel electrocardiogram signal; negative visual stimulus; noninvasive continuous ECG monitoring system; parasympathetic nervous activity; positive visual stimulus; psychological stress; quantitative marker; Autonomic nervous system; Electrocardiography; Heart rate; Heart rate measurement; Heart rate variability; Humans; Monitoring; Nervous system; Psychology; Videos; Automatic Nervous System (ANS); ECG monitoring system; Heart Rate Variability (HRV); Visual Stimulus;
Conference_Titel :
Bioinformatics, Systems Biology and Intelligent Computing, 2009. IJCBS '09. International Joint Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3739-9
DOI :
10.1109/IJCBS.2009.75