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The influence of music genres on human emotionality

  • Monika N. BugdolEmail author
  • Marcin D. Bugdol
  • Tomasz Smreczak
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 623)

Abstract

In the paper results of a preliminary research are presented concerning the influence of various music types on the human biocybernetic response. 35 people (24 women, 11 men) of different age and occupation underwent the examination. Each of them listened to three music pieces (classical, relaxing and rock music, in a previously defined order). The measured biomedical signal was the GSR. Women exposed more varied changes than men in their emotional state when they were stimulated with different music types. Young people reacted strongest on classical music, whereas mature persons revealed highest GSR changes while listening to rock music. The results for different occupation groups are also presented in the article.

Keywords

music therapy GSR music stimulation 

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References

  1. 1.
    Sachs C., Muzyka w świecie starożytnym, PWN, Warszawa 1981.Google Scholar
  2. 2.
    Galińska E., Dzieje poglądów na lecznicze działanie muzyki, Archiwum Historii i Filozofii Medycyny nr 3, 1987, p. 235-255.Google Scholar
  3. 3.
    SzulcW., Szabelska-Holeksa M., Kształcenie muzykoterapeutów w USA i niektórych krajach europejskich, Zeszyty Naukowe Akademii Muzycznej we Wrocławiu nr 76, Wrocław 2000, s. 27-40.Google Scholar
  4. 4.
    Janicki A., Aktualny stan muzykoterapii w Polsce i w innych krajach świata – pogla˛dy, trendy, szkoły, organizacja, kształcenie muzykoterapeutów, Zeszyty Naukowe Akademii Muzycznej we Wrocławiu nr 73, Wrocław 1998, s. 76-82.Google Scholar
  5. 5.
    Mitas A.W., Lipowicz A.M., Wijata A.M., Bieńkowska M.J. (2016) Impact of Music on the Effectiveness of Performing Mathematical-Logical Tasks. In: Piętka E., Badura P., Kawa J., Wieclawek W. (eds) Information Technologies in Medicine. Advances in Intelligent Systems and Computing, vol 471. Springer, ChamGoogle Scholar
  6. 6.
    Bieńkowska M.J., Mitas A.W., Lipowicz A.M. (2016) Model of Attenuation of Sound Stimuli in Prenatal Music Therapy. In: Piętka E., Badura P., Kawa J.,WieclawekW. (eds) Information Technologies in Medicine. Advances in Intelligent Systems and Computing, vol 471. Springer, ChamGoogle Scholar
  7. 7.
    Skotnicka M., Mitas A.W. (2014) About the Measurement Methods in Music Therapy. In: Piętka E., Kawa J., Wieclawek W. (eds) Information Technologies in Biomedicine, Volume 4. Advances in Intelligent Systems and Computing, vol 284. Springer, ChamGoogle Scholar
  8. 8.
    Bugdol M. D., Mitas A.W.: Multimodal biometric system combining ECG and sound signals. Pattern Recognition Letters 38,107–122 (2014)Google Scholar
  9. 9.
    Frederic Martini, Edwin Bartholomew: Essentials of Anatomy & Physiology. San Francisco: Benjamin Cummings, 2003, s. 267. ISBN 0-13-061567-6.Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Monika N. Bugdol
    • 1
    Email author
  • Marcin D. Bugdol
    • 1
  • Tomasz Smreczak
    • 1
  1. 1.Faculty of Biomedical Engineering, Department of Informatics and Medical EquipmentSilesian University of TechnologyZabrzePoland

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