Skip to main content
SpringerLink
Log in

About the Measurement Methods in Music Therapy

  • Conference paper
Information Technologies in Biomedicine, Volume 4

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 284))

Abstract

The chapter begins with a necessary introduction describing the fundamental importance of music in human life. Sounds of nature and typical music created by humans according to accepted rules (that are also nature philosophy derivatives) are considered here. Nowadays, music is used to intentional change the psychophysical state of a human being. It would be relatively easy to indicate that music stimulates activities, it is much more complicated to select such types of sound stimulation, which would be useful for recreation - music therapy is meant here. Currently, the choice is rather heuristic than algorithmic.

For a holistic analysis a snapshot of formal methods known in psychology is provided, such as Faces Pain Scale, State - Trait Anxiety Inventory (to assess anxiety), Rating Anxiety in Dementia (effective studying the influence of quiet music), Relax Rating Scale (a simple instrument to assess the relaxation degree), and techniques commonly known as biomedical measurement such as ECG , HR, BP , EEG, EEG or temperature measurement.

For a holistic analysis a snapshot of formal methods known in psychology is provided, such as Faces Pain Scale, State - Trait Anxiety Inventory (to assess anxiety), Rating Anxiety in Dementia (effective studying the influence of quiet music), Relax Rating Scale (a simple instrument to assess the relaxation degree), and techniques commonly known as biomedical measurement such as ECG , HR, BP , EEG, EEG or temperature measurement.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Barrera, M.E., Rykov, M.H., Doyle, S.L.: The effects of interactive music therapy on hospitalized children with cancer: a pilot study. Psycho-Oncology 11(5), 379–388 (2002)

    Article  Google Scholar 

  2. Bartoń, J., Blaut, A.: Efektywność muzyki relaksacyjnej (klasycznej i wybranej samodzielnie) w terapii behawioralnej kobiet z arachnofobią. Psychoterapia (4), 41–50 (2011)

    Google Scholar 

  3. Bijur, P.E., Silver, W., Gallagher, E.J.: Reliability of the visual analog scale for measurement of acute pain. Academic Emergency Medicine 8(12), 1153–1157 (2001)

    Article  Google Scholar 

  4. Bugdol, M.D., Mitas, A.W.: Multimodal biometric system combining ECG and sound signals. Pattern Recognition Letters (38), 107–112 (2014) ISSN 0167-8655

    Google Scholar 

  5. Burns, J.L., Labbé, E., Arke, B., Capeless, K., Cooksey, B., Steadman, A., Gonzales, C.: The effects of different types of music on perceived and physiological measures of stress. J. Music Ther. 39(2), 101–116 (2002)

    Article  Google Scholar 

  6. Chiu, H.W., Lin, L.S., Kuo, M.C., Chiang, H.S., Hsu, C.Y.: Using heart rate variability analysis to assess the effect of music therapy on anxiety reduction of patients 30, 469–472 (2003)

    Google Scholar 

  7. Hicks, C.L., von Baeyer, C.L., Spafford, P.A., van Korlaar I, G.B.: The faces pain scale-revised: toward a common metric in pediatric pain measurement. Pain 93(2), 173–183 (2001)

    Google Scholar 

  8. Cruise, C.J., Chung, F., Yogendran, S., Little, D.: Music increases satisfaction in elderly outpatients undergoing cataract surgery. Can. J. Anaesth. 44(1), 43–48 (1997)

    Article  Google Scholar 

  9. Frolov, M.V., Milovanova, G.B., Mekhedova, A.Y.: Effect of musical accompaniment on the operation performance of subjects with different anxiety levels. Human Physiology 31(2), 164–170 (2005)

    Article  Google Scholar 

  10. Kara, S., Ozel, P.: Determination of effects of different music on frontal muscle by using emg signal. In: Frontiers in the Convergence of Bioscience and Information Technologies, FBIT 2007, pp. 449–452 (2007)

    Google Scholar 

  11. Mccraty, R., Atkinson, M.I.K.E., Glen, R.E.I.N., Watkins, A.D.: Music Enhances the Effect of Positive Emotional States on Salivary IgA. Stress Medicine 12(3), 167–175 (1996)

    Article  Google Scholar 

  12. Mitas, A.W.: About the possibilities of the informatics technologies application in music therapy. Journal of Medical Informatics & Technologies 12, 189–193 (2008)

    Google Scholar 

  13. Mitas, A.W.: Stimulation methods in music therapy - short discussion towards the bio-cybernetic aspect. Journal of Medical Informatics & Technologies 13, 255–258 (2009)

    Google Scholar 

  14. Mitas, A.W., Bugdol, M., Ryguła, A.: Computer aid assessment of driver’s fatigue during driving based on eye movements analysis. Journal of Medical Informatics & Technologies 12, 195–200 (2008)

    Google Scholar 

  15. Mitas, A.W., Bugdol, M., Ryguła, A.: The psycho-physiological conditionings of driver’s work under the aspect of traffic safety. Transport Problems 4, 87–94 (2009)

    Google Scholar 

  16. Mitas, A.W., Bugdol, M., Ryguła, A.: Simultaneous analysis of driver’s physiological and behavioural parameters under the aspect of transport safety. Journal of Medical Informatics & Technologies 13, 241–247 (2009)

    Google Scholar 

  17. Mitas, A.W., Bugdol, M.D.: Strengthening a cryptographic system with behavioural biometric. In: Piętka, E., Kawa, J. (eds.) ITIB 2012. LNCS, vol. 7339, pp. 266–276. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  18. Mitas, A.W., Bugdol, M.D., Konior, W., Ryguła, A.: Phase angles of sound as a biometric feature. In: Piętka, E., Kawa, J. (eds.) ITIB 2012. LNCS, vol. 7339, pp. 256–265. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  19. Mitas, A.W., Ryguła, A.: Biomedically aided car driver safety system. In: Piętka, E., Kawa, J. (eds.) Information Technologies in Biomedicine. AISC, vol. 69, pp. 229–236. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  20. Mitas, A.W., Ryguła, A., Pyciński, B.: Driver’s biocybernetic monitoring and early warning system. In: Mikulski, J. (ed.) TST 2012. CCIS, vol. 329, pp. 52–59. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  21. Mitas, A.W., Ryguła, A., Pyciński, B., Bugdol, M.D., Konior, W.: Driver biomedical support system. In: Piętka, E., Kawa, J. (eds.) ITIB 2012. LNCS, vol. 7339, pp. 277–285. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  22. Mitas, A.W.: Spectral analysis in stimuli art predefining in music therapy. In: International Conference on Biometrics and Kansei Engineering, ICBAKE 2009, pp. 123–126 (2009)

    Google Scholar 

  23. Mitas, A.W.: Behaviorual and physiological biometrics advantages and limitations. In: Biometrics 2010, vol. 4, pp. 153–168 (2011)

    Google Scholar 

  24. Seignourel, P.J., Kunik, M.E., Snow, L., Wilson, N., Stanley, M.: Anxiety in dementia: a critical review. Clin. Psychol. Rev. 28(7), 1071–1082 (2008)

    Article  Google Scholar 

  25. Sung, H.C., Chang, A.M., Lee, W.L.: A preferred music listening intervention to reduce anxiety in older adults with dementia in nursing homes. Journal of Clinical Nursing 19(7-8), 1056–1064 (2010)

    Article  Google Scholar 

  26. Levenson, R.W., Thayer, J.F.: Effects of music on psychophysiological responses to a stressful film. Psychomusicology: A Journal of Research in Music Cognition 3(1), 44–52 (1983)

    Google Scholar 

  27. Torbicz, W., Filipczyński, L., Maniewski, R., Nałęcz, M., Stolarski, E.: Biocybernetyka i Inżynieria Biomedyczna 2000 Tom 2 Biopomiary. Akademicka Oficyna Wydawnicza Exit (2011)

    Google Scholar 

  28. Wrześniewski, K.: Inwentarz stanu i cechy lęku STAI: polska adaptacja STAI: podręcznik. Pracownia Testów Psychologicznych Polskiego Towarzystwa Psychologicznego (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Biomedical Engineering, Silesian University of Technology, Zabrze, Poland

    Maria Skotnicka & Andrzej W. Mitas

Authors
  1. Maria Skotnicka
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Andrzej W. Mitas
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Maria Skotnicka .

Editor information

Editors and Affiliations

  1. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Ewa Piętka

  2. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Jacek Kawa

  3. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Wojciech Wieclawek

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

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, Cham. https://doi.org/10.1007/978-3-319-06596-0_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-06596-0_19

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06595-3

  • Online ISBN: 978-3-319-06596-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation