{"id":"W3109633190","doi":"10.1109/ccece47787.2020.9255676","title":"Automatic QRS Detection and Segmentation Using Short Time Fourier Transform and Feature Fusion","year":2020,"lang":"en","type":"article","venue":"","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Artificial intelligence; Pattern recognition (psychology); Computer science; QRS complex; Segmentation; Feature (linguistics); Fourier transform; Fusion; Feature extraction; Short-time Fourier transform; Computer vision; Fourier analysis; Mathematics; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.00005008285,0.00006241813,0.000114996,0.00003802764,0.00006893637,0.0000179113,0.000007374808,0.00004721239,0.00004606229],"category_scores_gemma":[0.00001032578,0.00004835957,0.00002455198,0.0001097189,0.00001245661,0.00006824736,0.000005534048,0.00006721351,0.000002375702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001759294,"about_ca_system_score_gemma":0.000006791453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001907901,"about_ca_topic_score_gemma":0.000003446441,"domain_scores_codex":[0.9996331,0.00000893593,0.00007528064,0.0001171441,0.000101441,0.00006411415],"domain_scores_gemma":[0.9998358,0.000009775451,0.00001160121,0.00003722728,0.00001672529,0.00008885121],"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":[0.00002432073,0.000009343621,0.007569224,0.0001029555,0.00004963477,0.00000537671,0.0004556172,0.000006065931,0.4009186,2.217757e-7,0.00003782474,0.5908208],"study_design_scores_gemma":[0.0004362827,0.0001532058,0.006215319,0.00005380258,0.0003672903,0.00003396111,0.0004376437,0.9483414,0.04377136,0.000007363883,0.000105765,0.00007657108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887438,0.0000869834,0.009295801,0.001375617,0.00001867754,0.0001095824,5.469186e-7,0.00006685006,0.00030211],"genre_scores_gemma":[0.9866132,0.00003834229,0.01272375,0.0001528127,0.000115445,0.000001596324,0.000004797736,0.000007708146,0.0003424237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9483353,"threshold_uncertainty_score":0.1972046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0165222381789824,"score_gpt":0.2688375821908136,"score_spread":0.2523153440118311,"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."}}