Abstract
The current study delineates the effect of Odia and Tamil music on the Autonomic Nervous System (ANS)and cardiac conduction pathway of Odia volunteers. The analysis of the ECG signals using Analysis ofVariance (ANOVA) showed that the features obtained from the HRV domain, time-domain and wavelettransform domain were statistically insignificant. But non-linear classifiers like Classification andRegression Tree (CART), Boosted Tree (BT) and Random Forest (RF) indicated the presence of importantfeatures. A classification efficiency of more than 85% was achieved when the important features,obtained from the non-linear classifiers, were used. The results suggested that there is an increase in theparasympathetic activity when music is heard in the mother tongue. If a person is made to listen to musicin the language with which he is not conversant, an increase in the sympathetic activity is observed. Itis also expected that there might be a difference in the cardiac conduction pathway.
Original language | English |
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Title of host publication | Pattern and Data Analysis in Healthcare Settings |
Publisher | IGI Global Publishing |
Pages | 240-263 |
Number of pages | 24 |
ISBN (Electronic) | 9781522505372 |
ISBN (Print) | 1522505369, 9781522505365 |
DOIs | |
Publication status | Published - 22-07-2016 |
All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Medicine(all)
- Health Professions(all)