{"id":"W2134643721","doi":"10.1109/bsn.2006.27","title":"HealthGear: A Real-time Wearable System for Monitoring and Analyzing Physiological Signals","year":2006,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":254,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Social Innovation","funders":"","keywords":"Wearable computer; Bluetooth; Computer science; Focus (optics); Phone; Set (abstract data type); Sleep (system call); Real-time computing; Bluetooth Low Energy; Remote patient monitoring; Embedded system; Wireless; Medicine; Telecommunications","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":[0.0002041615,0.0001963827,0.0003089596,0.00008470949,0.0001371263,0.00007312457,0.00009218182,0.00009882975,0.00001248028],"category_scores_gemma":[0.00001429004,0.0001789578,0.00006809871,0.0001621526,0.0000206928,0.0001571919,0.0000328541,0.00009662414,0.00004414122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001212838,"about_ca_system_score_gemma":0.000009286503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002416549,"about_ca_topic_score_gemma":0.000001917756,"domain_scores_codex":[0.9988633,0.00002406993,0.000283874,0.0002560574,0.0001165874,0.0004561523],"domain_scores_gemma":[0.9994895,0.0001766502,0.00003394749,0.0001511382,0.00004429153,0.0001044163],"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":[0.000007399868,0.000008776768,0.004473018,0.0003068555,0.00002228404,0.000004466955,0.00001369586,0.006613986,0.9876682,0.000180325,0.0003158312,0.0003851721],"study_design_scores_gemma":[0.001008461,0.0002236087,0.01319408,0.000676674,0.00005229306,0.00001942627,0.0002998676,0.01502421,0.9676933,0.0007474288,0.0002505484,0.0008101292],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832619,0.0008778988,0.008121182,0.00001320535,0.0003375872,0.0004093025,0.00000792051,0.001035758,0.005935247],"genre_scores_gemma":[0.9903154,0.00006045274,0.008254078,0.000001389267,0.0008997225,0.00007649156,0.000002947548,0.00004536572,0.0003441307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01997492,"threshold_uncertainty_score":0.7297686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01656562346501804,"score_gpt":0.2403541254669621,"score_spread":0.2237885020019441,"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."}}