{"id":"W3111687160","doi":"10.1109/smc42975.2020.9282882","title":"Adaptive Impedance Control in Bilateral Telerehabilitation with Robotic Exoskeletons","year":2020,"lang":"en","type":"article","venue":"","topic":"Stroke Rehabilitation and Recovery","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Telerehabilitation; Exoskeleton; Teleoperation; Impedance control; Controller (irrigation); Computer science; Rehabilitation robotics; Control engineering; Robot; Powered exoskeleton; Simulation; Control theory (sociology); Engineering; Artificial intelligence; Control (management); Telemedicine","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":[0.000281829,0.0002942507,0.0002372332,0.0001482584,0.0001914678,0.0003604161,0.0003318191,0.0002790776,0.001082608],"category_scores_gemma":[0.0006406127,0.0001181508,0.0001909952,0.0001165085,0.0003054671,0.0003286219,0.0004895395,0.0002537874,0.0001199666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001739582,"about_ca_system_score_gemma":0.0002187433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001102361,"about_ca_topic_score_gemma":0.00124586,"domain_scores_codex":[0.9997614,0.00005242019,0.00002026332,0.00005283083,0.00009153115,0.00002153065],"domain_scores_gemma":[0.9998266,0.00007610901,0.00004388344,0.00001468538,0.00003042559,0.000008400321],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004999634,0.0002508202,0.001140766,0.0004837249,0.00007201131,0.0006205161,0.0005630805,0.4144501,0.2951936,0.01092611,0.0006398984,0.2751594],"study_design_scores_gemma":[0.00006303551,0.0007132008,0.001549217,0.00003118214,0.00002694896,0.000198325,0.00005853045,0.9689105,0.02177399,0.003509186,0.003142968,0.0000228906],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1005082,0.0005572783,0.8936101,0.0001832121,0.00007084572,0.00005762986,0.00001287158,0.000401992,0.004597896],"genre_scores_gemma":[0.9808421,0.0001539944,0.01676194,0.00002655039,0.00001489841,0.00004175011,0.000006629759,0.00001025532,0.002142001],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001102361,"threshold_uncertainty_score":0.003621638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01538677622089077,"score_gpt":0.2490321701697854,"score_spread":0.2336453939488946,"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."}}