{"id":"W4353100314","doi":"10.18280/ts.400133","title":"ECG Signal Classification Using DWT, MFCC and SVM Classifier","year":2023,"lang":"en","type":"article","venue":"Traitement du signal","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pattern recognition (psychology); Support vector machine; Artificial intelligence; Mel-frequency cepstrum; Computer science; Classifier (UML); Speech recognition; Feature extraction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001074833,0.0005851352,0.0009729874,0.002292561,0.0002951625,0.000824848,0.0004042706,0.0009134358,0.001431465],"category_scores_gemma":[0.002617787,0.0001567679,0.0006761038,0.001381233,0.0001860238,0.0007909848,0.0003434439,0.000511469,0.001025376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002637903,"about_ca_system_score_gemma":0.0003920395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00224791,"about_ca_topic_score_gemma":0.001071334,"domain_scores_codex":[0.9991449,0.0001252131,0.0001289691,0.0001562126,0.0003538707,0.00009077626],"domain_scores_gemma":[0.9991646,0.0002585202,0.00007846855,0.00005605317,0.0004063045,0.00003613016],"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":[0.000631264,0.0005383235,0.01150879,0.0003645158,0.0001492241,0.0003256823,0.0001078947,0.03789955,0.03718381,0.001312396,0.004961068,0.9050175],"study_design_scores_gemma":[0.00003837495,0.0006944596,0.01903037,0.0000664915,0.00008628972,0.0005285755,0.0001285351,0.9570542,0.01736707,0.001043141,0.00391294,0.00004952164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2674545,0.003260874,0.7168813,0.000554203,0.0006744749,0.000593117,0.001305587,0.002864954,0.006411017],"genre_scores_gemma":[0.7535626,0.001468369,0.2364774,0.00009380445,0.0002734695,0.0003801933,0.001765799,0.00006640785,0.005911886],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002292561,"threshold_uncertainty_score":0.005684316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09017378753188601,"score_gpt":0.3219907404318797,"score_spread":0.2318169528999937,"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."}}