맥박산소포화도 측정 시 동잡음 인식 알고리즘 개발을 위한 기초 연구

This study presents the algorithm to identify motion artifact in pulse oximetry measurement. Some various protocols for evoking motion artifacts were designed. Statistical time analysis and timefrequency analysis are exploited to characterize motion artifacts. As a result, we could design the algorithm to identify motion artifact using a standard deviation and a threshold. Thus, our designed algorithm showed good performance.