2nd International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

Decreased Long Term Variations of Heart Rate Variability in Subjects with Higher Self Reporting Stress Scores

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  • @INPROCEEDINGS{10.4108/ICST.PERVASIVEHEALTH2008.2526,
        author={Desok Kim and Yunhwan Seo and Lizawati Salahuddin},
        title={Decreased Long Term Variations of Heart Rate Variability in Subjects with Higher Self Reporting Stress Scores},
        proceedings={2nd International ICST Conference on Pervasive Computing Technologies for Healthcare},
        publisher={IEEE},
        proceedings_a={PERVASIVEHEALTH},
        year={2008},
        month={7},
        keywords={component; mental stress; heart rate variability; Stress Response Inventory; long term rhythm},
        doi={10.4108/ICST.PERVASIVEHEALTH2008.2526}
    }
    
  • Desok Kim
    Yunhwan Seo
    Lizawati Salahuddin
    Year: 2008
    Decreased Long Term Variations of Heart Rate Variability in Subjects with Higher Self Reporting Stress Scores
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/ICST.PERVASIVEHEALTH2008.2526
Desok Kim1,*, Yunhwan Seo1,*, Lizawati Salahuddin1,*
  • 1: School of Engineering, Information and Communications University, Daejeon, Korea.
*Contact email: kimdesok@icu.ac.kr, gyluarsis@icu.ac.kr, lizawati@icu.ac.kr

Abstract

Heart rate variability (HRV) has been well established to measure instantaneous levels of mental stress. Circadian patterns of HRV features have been reported but their relationships to mental stress were not studied explicitly for estimating stress levels. In this study, we investigated long term variations of HRV features to provide a reliable measure of chronic stress levels. Twenty three subjects were divided into high (n=10) and low stress group (n=13) depending their selfreporting stress scores. HRV features were calculated during five different time periods of the day. High stress group showed decreased overall variations of HRV features but similar median values to low stress group. Compared to normal sinus rhythm data during each time period, high stress group showed significantly less % difference of HRV patterns than low stress group. Our data suggested that long term variations of HRV features might be more useful to detect subjects under chronic stress.