{"id":"W3182266583","doi":"10.1109/memea52024.2021.9478597","title":"Toward Continuous Estimation of Cardiorespiratory Parameters in Oscillometry: A Simulation Study","year":2021,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure; Université de Sherbrooke","funders":"École de technologie supérieure","keywords":"Kalman filter; State-space representation; Control theory (sociology); Frequency domain; Extended Kalman filter; Estimation theory; Waveform; Amplitude; Computer science; Cardiorespiratory fitness; Time domain; System identification; Mathematics; Data modeling; Algorithm; Medicine; Artificial intelligence","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":[0.001242042,0.0004070881,0.0004353881,0.0004619272,0.0002577709,0.0004640704,0.0004133271,0.001038858,0.0007324017],"category_scores_gemma":[0.004461093,0.0001782084,0.0004355712,0.0003518905,0.0003597078,0.0004717168,0.0004574494,0.0006476046,0.00009596889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003727166,"about_ca_system_score_gemma":0.000445099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01468889,"about_ca_topic_score_gemma":0.007633514,"domain_scores_codex":[0.9997351,0.0001309417,0.00002053392,0.00002891961,0.0000500854,0.00003449345],"domain_scores_gemma":[0.9960611,0.003145393,0.0002063315,0.0001590323,0.0003771064,0.0000509295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001617979,0.0001192285,0.005464431,0.00008145841,0.00003372044,0.0001415024,0.0000821602,0.9840045,0.001934843,0.0008826006,0.0001410852,0.006952567],"study_design_scores_gemma":[0.00001101152,0.00006043283,0.000896064,0.000005926964,0.000006631051,0.00001359288,0.00001780905,0.9981543,0.000680195,0.00008860343,0.00006154242,0.000003787412],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.876195,0.0002351017,0.1201771,0.000174477,0.00002373549,0.0001093984,0.0002034822,0.0003471282,0.002534594],"genre_scores_gemma":[0.9887893,0.00006607001,0.01068374,0.0000129533,0.000002654933,0.00005335974,0.00009883262,0.000006544088,0.0002864312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01468889,"threshold_uncertainty_score":0.02920675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02817453589776168,"score_gpt":0.2623670945765508,"score_spread":0.2341925586787891,"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."}}