5th International ICST Conference on Collaborative Computing: Networking, Applications, Worksharing

Research Article

Improvement of HRV methodology for positive/negative emotion assessment

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  • @INPROCEEDINGS{10.4108/ICST.COLLABORATECOM2009.8296 ,
        author={Wanqing Wu and Jungtae Lee},
        title={Improvement of HRV methodology for positive/negative emotion assessment},
        proceedings={5th International ICST Conference on Collaborative Computing: Networking, Applications, Worksharing},
        proceedings_a={COLLABORATECOM},
        year={2009},
        month={12},
        keywords={Heart Rate Variability (HRV) HRV methodology ECG Signal processing Positive/Negative emotion},
        doi={10.4108/ICST.COLLABORATECOM2009.8296 }
    }
    
  • Wanqing Wu
    Jungtae Lee
    Year: 2009
    Improvement of HRV methodology for positive/negative emotion assessment
    COLLABORATECOM
    ICST
    DOI: 10.4108/ICST.COLLABORATECOM2009.8296
Wanqing Wu1,*, Jungtae Lee1,*
  • 1: Department of Computer Science and Engineering, Pusan, National University, Busan, South Korea
*Contact email: wqwu@pusan.ac.kr, jtlee@pusan.ac.kr

Abstract

Heart rate variability (HRV) dynamics are particularly sensitive to changes in emotional states, and positive and negative emotions can readily be distinguished by changes in heart rhythm patterns. In this paper, we proposed an improved methodology which is a full set of methods from hardware design to software development for HRV analysis. Firstly, a multi-channel ECG acquisition device has been designed for ECG signal collection, and then we developed a full-featured ECG monitoring system which suitable for real-time ECG display, signal pre-processing, high accuracy R wave detection and HRV analysis in time and frequency domain. Moreover, this study investigates the relationship between HRV and positive/negative emotion. The experiment consists of three tasks: eyes-open, pleasant images and unpleasant images. 15 healthy, right-handed volunteers (female 5, male 10) participated in the experiment; all of them are college student between 18 and 25 years. We find that there is significant correlation between HRV and positive/negative emotion. Subjects who had high SDNN and high LF exhibit greater activation of autonomic nervous system and vice versa. These results which demonstrated the relationship between automatic nervous system and psychological response on positive/negative stimulus can help us for self-emotion management and regulation, as well as determine the clinical utility of psychological intervention.