{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/heartbeat-heart-beat-estimation-through","title":"HeartBEAT: Heart Beat Estimation through Adaptive Tracking","arxiv_id":"1810.08554","date":"2018-10-19","proceeding":null,"authors":["Huijie Pan","Dogancan Temel","Ghassan AlRegib"],"abstract":"In this paper, we propose an algorithm denoted as HeartBEAT that tracks heart\nrate from wrist-type photoplethysmography (PPG) signals and simultaneously\nrecorded three-axis acceleration data. HeartBEAT contains three major parts:\nspectrum estimation of PPG signals and acceleration data, elimination of motion\nartifacts in PPG signals using recursive least Square (RLS) adaptive filters,\nand auxiliary heuristics. We tested HeartBEAT on the 22 datasets provided in\nthe 2015 IEEE Signal Processing Cup. The first ten datasets were recorded from\nsubjects performing forearm and upper-arm exercises, jumping, or pushing-up.\nThe last twelve datasets were recorded from subjects running on tread mills.\nThe experimental results were compared to the ground truth heart rate, which\ncomes from simultaneously recorded electrocardiogram (ECG) signals. Compared to\nstate-of-the-art algorithms, HeartBEAT not only produces comparable Pearson's\ncorrelation and mean absolute error, but also higher Spearman's rho and\nKendall's tau.","url_abs":"http://arxiv.org/abs/1810.08554v2","url_pdf":"http://arxiv.org/pdf/1810.08554v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"heartbeat-heart-beat-estimation-through","repo_url":"https://github.com/olivesgatech/HeartBEAT","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"photoplethysmography-ppg","task_name":"Photoplethysmography (PPG)"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}