Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Design of ICA to Extract Respiration Signal From PPG Signal

  • Lee, Ju-Won (Department of Medical Engineering, Andong Science College) ;
  • Lee, Byeong-Ro (Department of Electronics Engineering, Gyeongnam National University of Science and Technology)
  • Received : 2011.01.25
  • Accepted : 2011.03.08
  • Published : 2011.04.30
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Abstract

Respiration signal of the vital signs is an important parameter in clinical parts. To extract the respiration signal from PPG signal for mobile healthcare system is difficult because the bands of the motion artifacts and respiration in the frequency domain are overlapped. This study to improve this problem suggested a respiration extraction method using the independent component analysis and evaluated its performances. In results of evaluation, the ICA method showed better performance than LPF suggested recently.

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References

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