{"id":"W4417439046","doi":"10.1109/rbme.2025.3639404","title":"Readout Techniques and Offset Compensation Strategies for Biomedical Resistive MEMS Sensors: A Comprehensive Review","year":2025,"lang":"en","type":"review","venue":"IEEE Reviews in Biomedical Engineering","topic":"Sensor Technology and Measurement Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université de Sherbrooke; Institut interdisciplinaire d'innovation technologique; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Capacitive sensing; Resistive touchscreen; Microelectromechanical systems; Offset (computer science); Compensation (psychology); Voltage; Noise (video); Microsystem","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":[0.0009163988,0.00123499,0.001299938,0.002517451,0.0002923983,0.001065883,0.001144719,0.001125069,0.002557353],"category_scores_gemma":[0.001357017,0.0006046871,0.0008222038,0.002317474,0.0003515621,0.00203527,0.0006143915,0.001163621,0.001359212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003321556,"about_ca_system_score_gemma":0.0009200673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006303098,"about_ca_topic_score_gemma":0.0007877999,"domain_scores_codex":[0.9995623,0.00005330571,0.00006496971,0.0001030012,0.0001835379,0.00003297234],"domain_scores_gemma":[0.9993702,0.0003367911,0.00009102873,0.00002425559,0.0001591793,0.00001858098],"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":[0.00006248285,0.0001152714,0.000315089,0.03445278,0.0001088934,0.0001542519,0.0001366853,0.001400276,0.01530907,0.006054389,0.01133902,0.9305518],"study_design_scores_gemma":[0.00001374269,0.000631421,0.001252805,0.006917768,0.0004699109,0.001691884,0.0001685893,0.002105971,0.0157897,0.003225432,0.9676284,0.0001042371],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007404886,0.9946758,0.00271653,0.0001548644,0.0001622168,0.00001819595,0.00004070385,0.00003273972,0.001458554],"genre_scores_gemma":[0.003267378,0.9920225,0.003285611,0.0001738878,0.0001896949,0.00003050803,0.00008747781,0.00001087112,0.0009320929],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002557353,"threshold_uncertainty_score":0.008555233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06557470395128907,"score_gpt":0.3452134282876921,"score_spread":0.279638724336403,"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."}}