A computational model of the relationship between musical rhythm and heart rhythm

Author

Wang, Hui-Min ; Lin, Shih-Hsiang ; Huang, Yu-Chieh ; Chen, I-Cheng ; Chou, Lei-Chun ; Lai, You-Liang ; Chen, Yi-Fan ; Huang, Sheng-Chieh ; Jan, Ming-Yi

Author_Institution

Dept. of Electr. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan

fYear

2009

fDate

24-27 May 2009

Firstpage

3102

Lastpage

3105

Abstract

Heart rate variability (HRV) is a measure of variation in the heart rate. Over the last 25 years, HRV analysis has became utilized more often as a non-invasive research and clinical tool for indirectly investigating both cardiac and autonomic nervous system (ANS) functions in health and disease. In our experiment, 22 healthy subjects and four testing rhythm patterns are studied. How the three musical-rhythmic characteristics of tempo, complexity and drum sample affect the performance of HRV is discussed and a computational model with four factors is proposed. This relationship can help us to improve our life and health by music.

Keywords

musical acoustics; neurophysiology; autonomic nervous system; computational model; drum sample affect; heart rate variability; heart rhythm; musical-rhythmic characteristics; Brain modeling; Computational modeling; Electromyography; Frequency; Heart rate variability; Multiple signal classification; Music; Rhythm; Signal analysis; Thyristors;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2009. ISCAS 2009. IEEE International Symposium on

Conference_Location

Taipei

Print_ISBN

978-1-4244-3827-3

Electronic_ISBN

978-1-4244-3828-0

Type

conf

DOI

10.1109/ISCAS.2009.5118459

Filename

5118459