{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T17:27:34Z","timestamp":1783099654546,"version":"3.54.6"},"reference-count":34,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2020,3,13]],"date-time":"2020-03-13T00:00:00Z","timestamp":1584057600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>This paper presents a novel adaptive recursive least squares filter (ARLSF) for motion artifact removal in the field of seismocardiography (SCG). This algorithm was tested with a consumer-grade accelerometer. This accelerometer was placed on the chest wall of 16 subjects whose ages ranged from 24 to 35 years. We recorded the SCG signal and the standard electrocardiogram (ECG) lead I signal by placing one electrode on the right arm (RA) and another on the left arm (LA) of the subjects. These subjects were asked to perform standing and walking movements on a treadmill. ARLSF was developed in MATLAB to process the collected SCG and ECG signals simultaneously. The SCG peaks and heart rate signals were extracted from the output of ARLSF. The results indicate a heartbeat detection accuracy of up to 98%. The heart rates estimated from SCG and ECG are similar under both standing and walking conditions. This observation shows that the proposed ARLSF could be an effective method to remove motion artifact from recorded SCG signals.<\/jats:p>","DOI":"10.3390\/s20061596","type":"journal-article","created":{"date-parts":[[2020,3,13]],"date-time":"2020-03-13T08:58:59Z","timestamp":1584089939000},"page":"1596","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["A Novel Adaptive Recursive Least Squares Filter to Remove the Motion Artifact in Seismocardiography"],"prefix":"10.3390","volume":"20","author":[{"given":"Shuai","family":"Yu","sequence":"first","affiliation":[{"name":"School of Mechanical Science and Engineering, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sheng","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Mechanical Science and Engineering, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, China"},{"name":"Key Lab for Hydropower Transients of Ministry of Education, School of Power and Mechanical Engineering, Wuhan University, 8 East Lake South Road, Wuhan 430072, China"},{"name":"Institute of Technological Sciences, Wuhan University, 8 East Lake South Road, Wuhan 430072, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,3,13]]},"reference":[{"key":"ref_1","first-page":"55","article-title":"Seismocardiography\u2014a new method in the study of functional conditions of the heart","volume":"33","author":"Bozhenko","year":"1961","journal-title":"Ter Arkh"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"991","DOI":"10.1378\/chest.100.4.991","article-title":"Seismocardiography for monitoring changes in left ventricular function during ischemia","volume":"100","author":"Salerno","year":"1991","journal-title":"Chest J."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1414","DOI":"10.1109\/JBHI.2014.2361732","article-title":"Ballistocardiography and seismocardiography: A review of recent advances","volume":"19","author":"Inan","year":"2014","journal-title":"IEEE J. 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