대한임베디드공학회논문지 (IEMEK Journal of Embedded Systems and Applications)

대한임베디드공학회 (Institute of Embedded Engineering of Korea)
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신호 처리를 통한 비접촉 광용적맥파 기반 얼굴 영역별 산소포화도 추정 성능 비교

Comparison of rPPG-based Oxygen Saturation Measurement Performance by Face Area with Simple Signal Processing

  • 조효진 ;
  • 권남규
  • Hyojin Jo (Yeungnam University) ;
  • Nam Kyu Kwon (Yeungnam University)
  • 투고 : 2024.06.28
  • 심사 : 2024.08.12
  • 발행 : 2024.08.31
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초록

This study evaluates the performance of remote photoplethysmography (rPPG)-based oxygen saturation (SpO2) estimation across different face areas. The information in the red and green channels is extracted through spatial averaging on the detected area, followed by detrending, min-max normalization, and low-pass filtering are performed. Finally, SpO2 is estimated using the Ratio of Ratios method based on Beer-Lambert law. Using the PURE dataset, SpO2 estimation accuracy was evaluated with mean absolute error (MAE). Experimental results showed the entire face provided the highest accuracy, followed by the forehead, left cheek, right cheek, and lips.

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과제정보

본 논문은 2023년도 정부 (과학기술정보통신부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임 (NO.RS-2023-00219725).

참고문헌

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