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Motion Artifact Reduction in PPG Signals from Face : Face Tracking & Stochastic State Space Modeling Approach
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- Authors
- Chankyu Park, Ho-jin Choi
- Issue Date
- 2014-08
- Citation
- International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2014, pp.3280-3283
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- The Photoplethymography(PPG) is generally measured on a finger or an ear using contact sensors. The recent several studies using non-contact sensor such as CCD camera and web-cam to measure PPG have been introduced. However the motion artifact issue is also emerging in non-contact camera sensing similar to contact-type one because it is sensitive to artifacts generated by subject's head and body motion. In this paper, the two sequential approaches for a motion artifact reduction algorithm are presented; the one is a face tracking method that detects and tracks the skin region of face which is containing PPG signals, the other is the reduction method of motion artifact due to various head & face movement such as roll, yaw, pitch, translation and scale. Results of the proposed KF are compared to these of the FIR band pass filter(BPF).
- KSP Keywords
- Body motion, Digital imaging(CCD camera), Modeling Approach, Motion artifact reduction, PPG signal, Reduction algorithm, Tracking method, bandpass filter(BFP), contact-type, face tracking, non-contact sensor