期刊
SENSORS
卷 17, 期 4, 页码 -出版社
MDPI
DOI: 10.3390/s17040860
关键词
photoplethysmogram; motion artifact; single-input; forward-backward filtering; linear time-variant
资金
- GIST Research Institute (GRI)
- IT R&D program of MSIP (Development of Military Life Management System based on Emotion Recognition)
- Institute for Information & Communication Technology Planning & Evaluation (IITP), Republic of Korea [R0112-16-1005] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
So far, many approaches have been developed for motion artifact (MA) reduction from photoplethysmogram (PPG). Specifically, single-input MA reduction methods are useful to apply wearable and mobile healthcare systems because of their low hardware costs and simplicity. However, most of them are insufficiently developed to be used in real-world situations, and they suffer from a phase distortion problem. In this study, we propose a novel single-input MA reduction algorithm based on time-variant forward-backward harmonic notch filtering. To verify the proposed method, we collected real PPG data corrupted by MA and compared it with existing single-input MA reduction methods. In conclusion, the proposed zero-phase line enhancer (ZLE) was found to be superior for MA reduction and exhibited zero phase response.
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