{"id":"W2169533318","doi":"10.1109/iembs.1990.691837","title":"ECG Beat Classification By A Neural Network","year":2005,"lang":"en","type":"article","venue":"","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Artificial neural network; Extractor; Computer science; Pattern recognition (psychology); Artificial intelligence; Feature extraction; Backpropagation; Sample (material); Feature (linguistics); Time delay neural network; Beat (acoustics); Data mining; Speech recognition; Engineering","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":[0.0006732355,0.0003828846,0.0004058909,0.0006005473,0.000327456,0.0006564683,0.0005341478,0.0008644637,0.002678465],"category_scores_gemma":[0.001532415,0.0002576364,0.0003025895,0.0005041033,0.0002209269,0.0005848929,0.0003920853,0.0007567418,0.001071302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005789986,"about_ca_system_score_gemma":0.0004198098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004891933,"about_ca_topic_score_gemma":0.004622442,"domain_scores_codex":[0.9997291,0.00005566436,0.0000151935,0.00007786038,0.00008034066,0.0000419458],"domain_scores_gemma":[0.9996395,0.0001258962,0.0000244815,0.00003431453,0.0001553961,0.00002041211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005384195,0.0001794632,0.002757898,0.00008012843,0.00008664146,0.0001014744,0.00004108993,0.150799,0.03902127,0.002767773,0.005289619,0.7983371],"study_design_scores_gemma":[0.000008024565,0.00005715125,0.0006411098,0.000008777779,0.00001038395,0.00002606744,0.000004322435,0.9944997,0.003406466,0.0004976029,0.0008322206,0.00000816243],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07135817,0.001187963,0.9170718,0.0005847394,0.0003385739,0.0001194166,0.0002027633,0.002690816,0.006445735],"genre_scores_gemma":[0.6290349,0.0007717822,0.3511402,0.0003802543,0.0003203916,0.0001759618,0.0003489985,0.0000895088,0.01773797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004891933,"threshold_uncertainty_score":0.009726942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02257551299043398,"score_gpt":0.2884667615074833,"score_spread":0.2658912485170493,"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."}}