{"doi":"10.48550/arxiv.2409.06147","title":"Multiclass Arrhythmia Classification using Smartwatch Photoplethysmography Signals Collected in Real-life Settings","abstract":"Most deep learning models of multiclass arrhythmia classification are tested on fingertip photoplethysmographic (PPG) data, which has higher signal-to-noise ratios compared to smartwatch-derived PPG, and the best reported sensitivity value for premature atrial/ventricular contraction (PAC/PVC) detection is only 75%. To improve upon PAC/PVC detection sensitivity while maintaining high AF detection, we use multi-modal data which incorporates 1D PPG, accelerometers, and heart rate data as the inputs to a computationally efficient 1D bi-directional Gated Recurrent Unit (1D-Bi-GRU) model to detect three arrhythmia classes. We used motion-artifact prone smartwatch PPG data from the NIH-funded Pulsewatch clinical trial. Our multimodal model tested on 72 subjects achieved an unprecedented 83% sensitivity for PAC/PVC detection while maintaining a high accuracy of 97.31% for AF detection. These results outperformed the best state-of-the-art model by 20.81% for PAC/PVC and 2.55% for AF detection even while our model was computationally more efficient (14 times lighter and 2.7 faster).","journal":"arXiv (Cornell University)","year":2024,"id":505035,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9583,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1331865,"name":"Ji-Hye Moon","orcid":"0000-0001-5501-5953","position":1,"is_corresponding":false},{"id":1331866,"name":"Luís Roberto Mercado Díaz","orcid":"0000-0003-3543-3677","position":2,"is_corresponding":false},{"id":1049411,"name":"Darren Chen","orcid":"0009-0001-7667-9748","position":3,"is_corresponding":false},{"id":1356126,"name":"Williams, Devan","orcid":null,"position":4,"is_corresponding":false},{"id":306785,"name":"Eric Ding","orcid":"0000-0002-6904-8534","position":5,"is_corresponding":false},{"id":417370,"name":"Khanh‐Van Tran","orcid":"0000-0002-7036-2969","position":6,"is_corresponding":false},{"id":306787,"name":"David D. McManus","orcid":"0000-0002-9343-6203","position":7,"is_corresponding":false},{"id":306788,"name":"Ki H. Chon","orcid":"0000-0002-4422-4837","position":8,"is_corresponding":false},{"id":15767,"name":"Dong Han","orcid":"0000-0002-9074-6708","position":0,"is_corresponding":true}],"reference_count":0,"raw_metadata":null,"created_at":"2026-07-19T02:10:43.302033Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}