Wavelet real time monitoring system: a case study of the musical influence on electroencephalography

  • Authors:

  • Chien-Yue Chen;Wing-Kwong Wong;Cheng-Deng Kuo;Yun-Tzai Liao;Ming-Da Ke

  • Affiliations:

  • Institute of Electronic Engineering, National Yunlin University of Science & Technology, Douliu, Yunlin, Taiwan;Institute of Electronic Engineering, National Yunlin University of Science & Technology, Douliu, Yunlin, Taiwan;Biophysics Laboratory, Department of Research and Education, Taipei Veterans General Hospital, Taipei, Taiwan and Institute of Emergency and Critical Care Medicine, National Yang-Ming University, ...;Institute of Electronic Engineering, National Yunlin University of Science & Technology, Douliu, Yunlin, Taiwan;Institute of Electronic Engineering, National Yunlin University of Science & Technology, Douliu, Yunlin, Taiwan

  • Venue:
  • WSEAS TRANSACTIONS on SYSTEMS
  • Year:
  • 2008

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Abstract

The aim of this study was to develop a real time monitoring system, and to study the effect of music on electroencephalography (EEG). We used this system for real time acquisition and signal analysis of the electroencephalogram of volunteer who was listening to different types of music (techno and classical). The δ, θ, α and β brain waves were observed and analyzed by using wavelet transformation. The analogue EEG signal was measured by biomedical signal machine, converted to digital signal using data acquisition module, and then input to a computer. The graphical user interface was developed using LabVIEW and the signal wavelet transformation algorithms were implemented using MATLAB programs. The advantages of this system are its modularity and capability to observe dynamic variation of any biomedical signals. By using this system, we found that when the music type was changed, the variation in volunteer's brain wave can be monitored in real time by the wavelet-based real time monitoring system.