Evaluation of Distraction Effect of Music Stimuli During Cycling Exercise With Low Intensity in Terms of Multiple Time Scale

被引:1
作者
Bao, Caijilahu [1 ]
Ma, Zhiqiang [1 ]
Wu, Zhuoyi [1 ]
Gao, Wenjun [1 ]
Jeon, Gwanggil [2 ]
Kiryu, Tohru [3 ]
机构
[1] Inner Mongolia Univ Technol, Dept Coll Data Sci & Applicat, Hohhot 010080, Peoples R China
[2] Incheon Natl Univ, Dept Embedded Syst Engn, Incheon 22012, South Korea
[3] Niigata Univ, Dept Grad Sch Sci & Technol, Niigata 9502181, Japan
基金
中国国家自然科学基金;
关键词
Distraction effect; multiple time scale; music stimuli; perceived exertion; physical effort; HEART-RATE-VARIABILITY; RPE; AGE;
D O I
10.1109/TCDS.2022.3157915
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
There is a lack of research on the distraction effects of music stimuli with the multiple time scales of biological functions. It should be preferable to propose an effective strategy for evaluating the time-varying behavior (TVB) of psychological responses to music during exercise on autonomic nervous activity (ANA). From the RR interval time series of electrocardiograms recorded during cycling with low intensity, we estimated ANA-related indices: time- and frequency-domain indices estimated from the fluctuations of the RR interval. Then, we searched the temporal distribution of the stimulus-response module (SRM) that appeared in the TVB. The inspection of distraction effects was done for properly selected ANA. Then, related indices and the ratings of perceived exertion for evaluating appropriate participants are based on both the impression of favorability to music and the SRM occurrences. The results inferred that the multiple time scales strategy could be of help to assess the suitable approach to identify the distraction effects of music stimuli.
引用
收藏
页码:1043 / 1050
页数:8
相关论文
共 32 条
  • [1] Aburto-Corona J, 2017, PENSAR MOV, V15, DOI 10.15517/pensarmov.v15i2.28390
  • [2] POWER SPECTRUM ANALYSIS OF HEART-RATE FLUCTUATION - A QUANTITATIVE PROBE OF BEAT-TO-BEAT CARDIOVASCULAR CONTROL
    AKSELROD, S
    GORDON, D
    UBEL, FA
    SHANNON, DC
    BARGER, AC
    COHEN, RJ
    [J]. SCIENCE, 1981, 213 (4504) : 220 - 222
  • [3] Arazi Hamid, 2015, J Sports Med (Hindawi Publ Corp), V2015, P389831, DOI 10.1155/2015/389831
  • [4] Bao C, 2015, 2015 IEEE 4TH GLOBAL CONFERENCE ON CONSUMER ELECTRONICS (GCCE), P414, DOI 10.1109/GCCE.2015.7398672
  • [5] PSYCHOPHYSICAL BASES OF PERCEIVED EXERTION
    BORG, GAV
    [J]. MEDICINE AND SCIENCE IN SPORTS AND EXERCISE, 1982, 14 (05) : 377 - 381
  • [6] The factor structure of cybersickness
    Bruck, Susan
    Watters, Paul A.
    [J]. DISPLAYS, 2011, 32 (04) : 153 - 158
  • [7] Combined heart rate variability and dynamic measures for quantitatively characterizing the cardiac stress status during cycling exercise
    Chen, Szi-Wen
    Liaw, Jiunn-Woei
    Chang, Ya-Ju
    Chuang, Li-Ling
    Chien, Chun-Tse
    [J]. COMPUTERS IN BIOLOGY AND MEDICINE, 2015, 63 : 133 - 142
  • [8] Objective and subjective analysis of the training content in young cyclists
    Delattre, Emmanuelle
    Garcin, Murielle
    Mille-Hamard, Laurence
    Billat, Veronique
    [J]. APPLIED PHYSIOLOGY NUTRITION AND METABOLISM, 2006, 31 (02) : 118 - 125
  • [9] Egorova D.D., 2014, Biomed. Eng., V48, P37
  • [10] The Relationship Between Rating of Perceived Exertion and Muscle Activity During Exhaustive Constant-Load Cycling
    Fontes, E. B.
    Smirmaul, B. P. C.
    Nakamura, F. Y.
    Pereira, G.
    Okano, A. H.
    Altimari, L. R.
    Dantas, J. L.
    de Moraes, A. C.
    [J]. INTERNATIONAL JOURNAL OF SPORTS MEDICINE, 2010, 31 (10) : 683 - 688