{"id":"W4392354366","doi":"10.18280/ria.380126","title":"ECG Signal Reconstruction from PPG Using Hybrid Deep Neural Networks","year":2024,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"ECG Monitoring and Analysis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Computer science; Artificial intelligence; SIGNAL (programming language); Deep neural networks; Pattern recognition (psychology)","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":[0.0003750927,0.0006489565,0.0003289268,0.0003327371,0.0001393126,0.0004677178,0.0007010978,0.0005159865,0.0008559251],"category_scores_gemma":[0.001100466,0.0002759971,0.0004060347,0.0003276552,0.000181203,0.0005987795,0.0006443832,0.0007490024,0.000346299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003186347,"about_ca_system_score_gemma":0.000474186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004297757,"about_ca_topic_score_gemma":0.006957764,"domain_scores_codex":[0.9998403,0.00002299551,0.000009710834,0.00004738881,0.00006042866,0.00001925891],"domain_scores_gemma":[0.9997905,0.00007475582,0.00002810432,0.00002838699,0.00006715475,0.00001110659],"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":[0.0002738225,0.0001589553,0.002452017,0.0001344877,0.0001300656,0.0002669863,0.00006728577,0.4583527,0.05070037,0.001980161,0.001745031,0.4837382],"study_design_scores_gemma":[0.00000322927,0.0000256169,0.0002901041,0.000004745211,0.000006189401,0.00003141349,0.000003682642,0.9947977,0.004218634,0.0003644931,0.0002499418,0.000004283917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05826475,0.0004779864,0.9382735,0.0001467843,0.00005745404,0.00003441413,0.0001157367,0.001314912,0.001314507],"genre_scores_gemma":[0.7456959,0.0004738129,0.2490374,0.0002496338,0.00005135268,0.00007651235,0.0006039577,0.00009539394,0.003716007],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004297757,"threshold_uncertainty_score":0.008545518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04345380929297962,"score_gpt":0.2918833405244925,"score_spread":0.2484295312315129,"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."}}