{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003650849,0.0001618565,0.0002504241,0.0002497324,0.0001757467,0.00005024375,0.00006137306,0.0000850038,0.0003453396],"category_scores_gemma":[0.0000165654,0.0001432354,0.0001042559,0.0004574147,0.00007105727,0.00009335856,0.00003017512,0.000160781,0.00008316381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007688996,"about_ca_system_score_gemma":0.00005686669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003804261,"about_ca_topic_score_gemma":0.000002719706,"domain_scores_codex":[0.9986398,0.00004896432,0.0003043002,0.0003268962,0.0003841853,0.0002958484],"domain_scores_gemma":[0.9994414,0.00006579832,0.00008385775,0.0001602359,0.00007699608,0.0001716443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002091652,0.0003288464,0.2141768,0.0002423579,0.0005305639,0.0001411892,0.0008196959,0.0006285656,0.6959955,0.0003105906,0.006490203,0.08012649],"study_design_scores_gemma":[0.002747949,0.0004123988,0.2716599,0.0003117222,0.000891833,0.00004966219,0.001692071,0.7022306,0.01070172,0.0002203485,0.008605375,0.0004764042],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905536,0.0001064884,0.006462945,0.001315467,0.0001113799,0.0001942895,0.000009177781,0.0002000341,0.001046585],"genre_scores_gemma":[0.9961852,0.00005040268,0.001215742,0.000177699,0.0005976249,0.0000171879,0.00005887461,0.00002551079,0.001671777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7016021,"threshold_uncertainty_score":0.584097,"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."}}