Guillem Cornella-Barba, Callen S Zimmer, Shusuke Okita, David J Reinkensmeyer
{"title":"A Home-Based Suite of Sensors for Monitoring and Improving Upper Extremity Proprioception After Stroke.","authors":"Guillem Cornella-Barba, Callen S Zimmer, Shusuke Okita, David J Reinkensmeyer","doi":"10.1109/ICORR66766.2025.11063129","DOIUrl":null,"url":null,"abstract":"<p><p>Proprioception assessment and training are theoretically important in stroke rehabilitation because proprioception impairment contributes to reduced upper extremity (UE) function and is a promising predictor of the effectiveness of movement therapy. Currently, however, there are few tools available for home-based monitoring and training of proprioception. Here, we describe three tools that we are developing for UE proprioception rehabilitation that are suitable for home use. OpenPoint uses a webcam to automate UE proprioception assessment via a classic neurologic test: finger-to-finger pointing. Proprio gamifies proprioception training by embedding the finger-to-finger pointing test within a video game similar to GuitarHero. Diversify is an app on a smartwatch that provides feedback about the diversity of arm proprioceptive states associated with the variety of arm postures that an individual experiences throughout the day. We describe here the design of each system as well as preliminary testing results.</p>","PeriodicalId":73276,"journal":{"name":"IEEE ... International Conference on Rehabilitation Robotics : [proceedings]","volume":"2025 ","pages":"1542-1547"},"PeriodicalIF":0.0000,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE ... International Conference on Rehabilitation Robotics : [proceedings]","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICORR66766.2025.11063129","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Proprioception assessment and training are theoretically important in stroke rehabilitation because proprioception impairment contributes to reduced upper extremity (UE) function and is a promising predictor of the effectiveness of movement therapy. Currently, however, there are few tools available for home-based monitoring and training of proprioception. Here, we describe three tools that we are developing for UE proprioception rehabilitation that are suitable for home use. OpenPoint uses a webcam to automate UE proprioception assessment via a classic neurologic test: finger-to-finger pointing. Proprio gamifies proprioception training by embedding the finger-to-finger pointing test within a video game similar to GuitarHero. Diversify is an app on a smartwatch that provides feedback about the diversity of arm proprioceptive states associated with the variety of arm postures that an individual experiences throughout the day. We describe here the design of each system as well as preliminary testing results.