{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,15]],"date-time":"2026-05-15T05:30:28Z","timestamp":1778823028783,"version":"3.51.4"},"reference-count":33,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2017,4,14]],"date-time":"2017-04-14T00:00:00Z","timestamp":1492128000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"the GIST Research Institute (GRI)"},{"name":"the IT R&amp;D program of MSIP","award":["R-20150902-002176"],"award-info":[{"award-number":["R-20150902-002176"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/s17040860","type":"journal-article","created":{"date-parts":[[2017,4,18]],"date-time":"2017-04-18T11:22:04Z","timestamp":1492514524000},"page":"860","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Blockwise PPG Enhancement Based on Time-Variant Zero-Phase Harmonic Notch Filtering"],"prefix":"10.3390","volume":"17","author":[{"given":"Chanki","family":"Park","sequence":"first","affiliation":[{"name":"School of Mechanical Engineering, Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hyunsoon","family":"Shin","sequence":"additional","affiliation":[{"name":"Emotion Recognition IoT Research Section, Hyper-connected Communication Research Laboratory, Electronic and Telecommunications Research Institute (ETRI), Daejeon 34129, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7233-5833","authenticated-orcid":false,"given":"Boreom","family":"Lee","sequence":"additional","affiliation":[{"name":"Department of Biomedical Science and Engineering (BMSE), Institute of Integrated Technology (IIT), Gwangju Institute of Science and Technology (GIST), Gwangju 61005, Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2017,4,14]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"469","DOI":"10.1007\/s10198-010-0260-4","article-title":"Ageing and health care expenditure in EU-15","volume":"12","author":"Bech","year":"2011","journal-title":"Eur. 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