{"id":"W2994045961","doi":"10.1109/cse/euc.2019.00078","title":"Development of a Smart Seat Cushion for Heart Rate Monitoring Using Ballistocardiography","year":2019,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Research Institute for Aging; University of Waterloo","funders":"","keywords":"Ballistocardiography; Cushion; Wearable computer; Sitting; Computer science; SIGNAL (programming language); Heart rate; Simulation; Accelerometer; Engineering; Embedded system; Medicine; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000237767,0.0001784091,0.0002626438,0.0001872935,0.00005322981,0.0000257555,0.000108451,0.00006936163,0.00001018978],"category_scores_gemma":[0.000009477356,0.000184114,0.0001457747,0.0002645037,0.00001123885,0.0001832108,0.00003876415,0.00007651156,0.00002102696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001224365,"about_ca_system_score_gemma":0.00002805742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008666162,"about_ca_topic_score_gemma":0.00000181023,"domain_scores_codex":[0.9990345,0.00001209908,0.0002921129,0.0001877929,0.0001633648,0.0003101705],"domain_scores_gemma":[0.9995494,0.00007473829,0.00002956417,0.0001991615,0.00007328424,0.00007387483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001249911,0.000007583458,0.08315606,0.0002095004,0.00008016704,4.048817e-7,0.0001269219,0.005275407,0.9102318,0.00002498395,0.00002473467,0.0008499305],"study_design_scores_gemma":[0.0003832772,0.00003221336,0.009377697,0.0001749619,0.00001734362,0.000001803429,0.0001658549,0.001148029,0.9860529,0.00002992676,0.002341429,0.0002745101],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9541017,0.0001335101,0.04252119,0.000002325965,0.001260365,0.0004603872,0.00000268557,0.0001795774,0.001338279],"genre_scores_gemma":[0.8820031,0.000004967917,0.1177302,0.000002759581,0.0001378564,0.00003263861,0.000001768688,0.00004798942,0.00003867113],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07582115,"threshold_uncertainty_score":0.7507949,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02367361608676984,"score_gpt":0.2454418890310693,"score_spread":0.2217682729442994,"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."}}