{"id":"W2070272685","doi":"10.1109/giis.2014.6934279","title":"From on-body sensors to in-body data for health monitoring and medical robotics: A survey","year":2014,"lang":"en","type":"article","venue":"","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Centre Hospitalier Universitaire Sainte-Justine","funders":"","keywords":"Robotics; Computer science; Torque; Artificial intelligence; Health care; Field (mathematics); Software; Joint (building); Rehabilitation; Simulation; Robot; Physical medicine and rehabilitation; Engineering; Medicine; Physical therapy; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001767873,0.001184129,0.001318041,0.004373005,0.0003139452,0.001841335,0.001207416,0.001075322,0.003408332],"category_scores_gemma":[0.004849283,0.0005767065,0.0008876726,0.006172156,0.0005495083,0.00311085,0.001044845,0.0008288393,0.001805867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000376011,"about_ca_system_score_gemma":0.000598115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001292723,"about_ca_topic_score_gemma":0.001161938,"domain_scores_codex":[0.9975363,0.0005035244,0.000249952,0.0004768428,0.001122701,0.0001107211],"domain_scores_gemma":[0.9944631,0.003033438,0.0003808507,0.0004219039,0.001579275,0.0001213131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002362199,0.0001117255,0.008126735,0.006623116,0.0001751574,0.0001290896,0.000196807,0.002050396,0.007251753,0.003104574,0.008974181,0.9630203],"study_design_scores_gemma":[0.0000611692,0.001402562,0.05388964,0.01016372,0.0007920032,0.004652019,0.002707355,0.02419217,0.04369382,0.01077891,0.8473783,0.0002883231],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.04179935,0.772946,0.152065,0.00172279,0.001212828,0.0003868225,0.002130585,0.001206073,0.02653061],"genre_scores_gemma":[0.1724301,0.6933934,0.1133508,0.001894004,0.001437072,0.0003846698,0.00479143,0.0004823437,0.01183613],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004373005,"threshold_uncertainty_score":0.01140207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03831284797030517,"score_gpt":0.313361665760362,"score_spread":0.2750488177900568,"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."}}