{"id":"W3156301715","doi":"10.2196/25996","title":"Zero-Effort Ambient Heart Rate Monitoring Using Ballistocardiography Detected Through a Seat Cushion: Prototype Development and Preliminary Study","year":2021,"lang":"en","type":"article","venue":"JMIR Rehabilitation and Assistive Technologies","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Institute for Aging; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Ballistocardiography; Wearable computer; SIGNAL (programming language); Computer science; Population; Heart rate monitor; Heart rate; Continuous monitoring; Wavelet; Real-time computing; Simulation; Artificial intelligence; Medicine; Engineering; Embedded system; Operations management; Cardiology; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001897803,0.0002807336,0.0003024974,0.0002109003,0.0002516717,0.00009971108,0.00008401393,0.0001399411,0.000001160683],"category_scores_gemma":[0.0002102223,0.0002749483,0.00005982815,0.0006698659,0.0001749691,0.0002991246,0.0001838562,0.0002459765,0.000001702219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001722863,"about_ca_system_score_gemma":0.00003317407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006012901,"about_ca_topic_score_gemma":0.00000264612,"domain_scores_codex":[0.9986528,0.0000679446,0.0003298332,0.0004643606,0.0002082714,0.0002767695],"domain_scores_gemma":[0.9992448,0.0002274849,0.00005157185,0.0002611135,0.0001713227,0.00004367558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000919727,0.0001719081,0.9019637,0.000432271,0.0001536487,0.00003902022,0.00186423,0.0003068009,0.08073646,0.00004915161,0.00002493222,0.01416594],"study_design_scores_gemma":[0.0006035474,0.0006682012,0.880381,0.0002950223,0.00002722002,0.00001362198,0.0127437,0.00008433286,0.1039768,0.0003665881,0.0004775805,0.0003622877],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897901,0.0004579395,0.00241307,0.00006389753,0.0001625677,0.005876441,0.000003089786,0.001180472,0.00005239009],"genre_scores_gemma":[0.943845,0.00001167346,0.04873384,0.0000021038,0.00002167172,0.007346164,0.00000218375,0.00003259,0.000004802666],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04632077,"threshold_uncertainty_score":0.9999703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02178388368545177,"score_gpt":0.2765424519064963,"score_spread":0.2547585682210446,"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."}}