{"id":"W2154511562","doi":"10.1109/iembs.2008.4649817","title":"Performance analysis of stationary and discrete wavelet transform for action potential detection from sympathetic nerve recordings in humans","year":2008,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Discrete wavelet transform; Wavelet; Wavelet transform; Sympathetic nerve; Continuous wavelet transform; Autonomic nervous system; Neurophysiology; Sympathetic nervous system; Pattern recognition (psychology); Computer science; Blood pressure; Artificial intelligence; Mathematics; Medicine; Neuroscience; Heart rate; Psychology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001848638,0.0005047849,0.0004490264,0.000659432,0.0001522611,0.0005559845,0.0002523602,0.0006582535,0.0008062653],"category_scores_gemma":[0.007195948,0.000115236,0.0003399861,0.0004315813,0.0002092489,0.000372782,0.0002999447,0.0002569141,0.0004168659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001695132,"about_ca_system_score_gemma":0.0002687946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001289715,"about_ca_topic_score_gemma":0.0008763424,"domain_scores_codex":[0.9993229,0.0002127093,0.00004197368,0.00009189385,0.0002918866,0.00003867417],"domain_scores_gemma":[0.997121,0.002296133,0.000104051,0.0001057338,0.0003095901,0.00006339948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004078945,0.0002858654,0.02004992,0.0006133329,0.0003835831,0.0004871601,0.0003624519,0.1031725,0.2097008,0.001627233,0.001042432,0.6581958],"study_design_scores_gemma":[0.00006199616,0.001059384,0.0488706,0.00003583815,0.0001196888,0.0007222856,0.00008197359,0.9070545,0.04055928,0.0006813439,0.0007049475,0.00004819797],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6023279,0.001414602,0.393278,0.0001345132,0.00007247039,0.00005852879,0.0001844011,0.000606742,0.001922784],"genre_scores_gemma":[0.9330248,0.0007776292,0.06476614,0.00003764968,0.00004058864,0.00005101673,0.0004488836,0.00007891714,0.0007743353],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001848638,"threshold_uncertainty_score":0.009776652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01483841264033448,"score_gpt":0.2207876640225049,"score_spread":0.2059492513821704,"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."}}