{"id":"W4295501514","doi":"10.1109/embc48229.2022.9871123","title":"Heartbeat detection from the upper arm using an SWT-based zero-phase filter bank incorporated with a voting Scheme","year":2022,"lang":"en","type":"article","venue":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Heartbeat; Computer science; SIGNAL (programming language); QRS complex; Filter bank; Sensitivity (control systems); Artificial intelligence; Filter (signal processing); Pattern recognition (psychology); Speech recognition; Algorithm; Computer vision; Cardiology; Engineering; Electronic engineering; Medicine; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001014432,0.0005629318,0.0005922376,0.0005985301,0.0001934523,0.0005677046,0.0006035966,0.0008507525,0.001537599],"category_scores_gemma":[0.002280415,0.0002532737,0.0003971067,0.0004112711,0.0002406169,0.000600393,0.0004321025,0.0004280203,0.0008922334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001929617,"about_ca_system_score_gemma":0.0003002514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003836253,"about_ca_topic_score_gemma":0.0007266063,"domain_scores_codex":[0.9993836,0.0001367669,0.00004710499,0.000163545,0.0002188762,0.00005023758],"domain_scores_gemma":[0.9992303,0.0002696409,0.00006981673,0.00009534029,0.0003043247,0.00003062007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008946222,0.000196777,0.005658135,0.0002509493,0.0001226675,0.0002329757,0.00009176687,0.008243053,0.4368214,0.001285474,0.001396794,0.5448053],"study_design_scores_gemma":[0.0001385823,0.001595005,0.01672184,0.00005972535,0.0003315818,0.002220683,0.0000598795,0.637216,0.333978,0.001376295,0.006193889,0.0001085701],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06751053,0.0002952458,0.9297625,0.0001033893,0.0001713096,0.0001082494,0.00008416237,0.0006972892,0.001267387],"genre_scores_gemma":[0.5318397,0.0003904645,0.4640861,0.0002361916,0.0001026888,0.0001761361,0.0002268688,0.00005871626,0.002883203],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001537599,"threshold_uncertainty_score":0.005364835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05794897929228025,"score_gpt":0.3228322011395033,"score_spread":0.2648832218472231,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}