{"id":"W2383850152","doi":"","title":"A Real-time ECG Analysis Algorithm for Mobile ECG Tele-monitoring System","year":2014,"lang":"en","type":"article","venue":"Jisuanji fangzhen","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"QRS complex; Algorithm; Ventricular tachycardia; Normal Sinus Rhythm; Computer science; Ventricular fibrillation; Process (computing); Rhythm; Real-time computing; Pattern recognition (psychology); Internal medicine; Artificial intelligence; Medicine; Atrial fibrillation","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007300673,0.000322185,0.001045998,0.0005402591,0.000241626,0.00007855268,0.0002150389,0.0002086657,0.00005350263],"category_scores_gemma":[0.00008640582,0.0002796429,0.0008367381,0.00109798,0.00004289761,0.00009735696,0.00006103779,0.0001831053,0.0002081744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002692763,"about_ca_system_score_gemma":0.00004968104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005308171,"about_ca_topic_score_gemma":0.000004395773,"domain_scores_codex":[0.9976829,0.00008661788,0.0005438688,0.0006244298,0.0004848486,0.0005773693],"domain_scores_gemma":[0.9981152,0.0002636096,0.0002153567,0.0007885141,0.0002752587,0.0003420159],"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":[0.0001448232,0.0005290337,0.285673,0.0007756089,0.009597824,0.0000730953,0.0007095024,0.0006808206,0.02700666,0.00006344936,0.001702677,0.6730435],"study_design_scores_gemma":[0.002696164,0.0009452688,0.02339699,0.0004807858,0.01453168,0.00003162178,0.001431164,0.9268112,0.01540417,0.00003013725,0.0133877,0.0008531436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8865415,0.0003710275,0.1040344,0.0001550685,0.0008315612,0.001185838,0.00008262791,0.001176773,0.005621152],"genre_scores_gemma":[0.892616,0.00005782258,0.09167852,0.00002358919,0.00321241,0.0004021576,0.0001670452,0.00009710089,0.01174532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9261304,"threshold_uncertainty_score":0.9999655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01107037781287919,"score_gpt":0.296309284830681,"score_spread":0.2852389070178019,"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."}}