[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.6109/jicce.2011.9.2.220

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)

Publication Information

Journal of information and communication convergence engineering / v.9, no.2, 2011 , pp. 220-223 More about this Journal

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.

Keywords

mobile healthcare; respiration signal; photoplethysmograph; independent component analysis;

Citations & Related Records

Times Cited By KSCI : 1 (Citation Analysis)

Reference
Cited By KSCI

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