DocumentCode :
3375612
Title :
The relationship between music processing and electrocardiogram (ECG) in vegetative state (VS)
Author :
Yen, Brad S. ; Hui-Min Wang ; Hou, M.C. ; Sheng-Chieh Huang ; Lei-Chun Chou ; Shao-You Hsu ; Tzu-Chia Huang ; You-Liang Lai ; Ming-Yie Jan
Author_Institution :
Dept. of Electr. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
fYear :
2010
fDate :
May 30 2010-June 2 2010
Firstpage :
2239
Lastpage :
2242
Abstract :
Previous literature has suggested that consciousness of patients in vegetative state (VS) may be enhanced via music listening; however, studies empirically documenting the link among music, vegetative state, and electrocardiogram (ECG) are scant. Therefore, the current article attempts to explore how music improves the VS patient´s condition with the assessment of ECG recordings. The present work involved a follow-up of case report, consisting of forty-two 150-min sessions, whose duration is longer than other VS studies. The quantitative analysis of the data was conducted through C programming language, HRV Analysis, EXCEL and MATLAB package software in order to find a specific pattern of HRV. Results of the study showed a medium level of consistence between the two variables of music and ECG. To conclude, this publication may be of importance in presenting some specific pattern of the ECG diagram while letting VS patients listen to the music.
Keywords :
bioacoustics; electrocardiography; medical signal processing; music; neurophysiology; C programming language; ECG; EXCEL package software; HRV analysis; MATLAB package software; electrocardiogram; music listening; music processing; vegetative state; Brain injuries; Computer languages; Data analysis; Electrocardiography; Electronic mail; Heart rate; Heart rate variability; Nervous system; Pattern analysis; Resonant frequency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-5308-5
Electronic_ISBN :
978-1-4244-5309-2
Type :
conf
DOI :
10.1109/ISCAS.2010.5537211
Filename :
5537211
Link To Document :
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