ArticleIEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society2020
Feasibility of Wearable Sensing for In-Home Finger Rehabilitation Early After Stroke.
Article in IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Commercial exergames for rehabilitation of physical health and quality of life: a systematic review of randomized controlled trials with adults in unsupervised home environments.Frontiers in psychology · 2023Pooled it
- Feasibility of home hand rehabilitation using musicglove after chronic spinal cord injury.Spinal cord series and cases · 2022Trial
- Robotic Technologies for Hand Recovery After Stroke: A Reflection on Research Paths in Honor of Dr. Steven Wolf.Neurorehabilitation and neural repair · 2026Article
- Clinical Application of Wearable Devices in Stroke Rehabilitation: A Scoping Review of Safety, Feasibility, and Adherence.Healthcare (Basel, Switzerland) · 2026Review
- Reconsidering music in stroke rehabilitation: a scoping review from auditory stimulus to relational process.Frontiers in psychology · 2026Review
- Evaluation of wrist and finger function in healthy children through music-based video game therapy.Journal of neuroengineering and rehabilitation · 2025Article
- Cloud-Based Control System with Sensing and Actuating Textile-Based IoT Gloves for Telerehabilitation Applications.Advanced intelligent systems (Weinheim an der Bergstrasse, Germany) · 2025Article
- Effectiveness of mixed reality-based rehabilitation on hands and fingers by individual finger-movement tracking in patients with stroke.Journal of neuroengineering and rehabilitation · 2024Article
- Integration of music-based game approaches with wearable devices for hand neurorehabilitation: a narrative review.Journal of neuroengineering and rehabilitation · 2024Review
- Combining soft robotics and telerehabilitation for improving motor function after stroke.Wearable technologies · 2024Article
- Article
- Using Large-Scale Sensor Data to Test Factors Predictive of Perseverance in Home Movement Rehabilitation: Optimal Challenge and Steady Engagement.Frontiers in neurology · 2022Article
- Review: How Can Intelligent Robots and Smart Mechatronic Modules Facilitate Remote Assessment, Assistance, and Rehabilitation for Isolated Adults With Neuro-Musculoskeletal Conditions?Frontiers in robotics and AI · 2021Review
- Skype Supervised, Individualized, Home-Based Rehabilitation Programs for Individuals With Rett Syndrome and Their Families - Parental Satisfaction and Point of View.Frontiers in psychology · 2021Article
- Usability of a wearable device for home-based upper limb telerehabilitation in persons with stroke: A mixed-methods study.Digital healthArticle
- Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Wearable grip sensing shows potential for hand rehabilitation, but few studies have studied feasibility early after stroke. Here, we studied a wearable grip sensor integrated with a musical computer game (MusicGlove). Among the stroke patients admitted to a hospital without limiting complications, 13% had adequate hand function for system use. Eleven subjects used MusicGlove at home over three weeks with a goal of nine hours of use. On average they achieved 4.1 ± 3.2 (SD) hours of use and completed 8627 ± 7500 grips, an amount comparable to users in the chronic phase of stroke measured in a previous study. The rank-order usage data were well fit by distributions that arise in machine failure theory. Users operated the game at high success levels, achieving note-hitting success >75% for 84% of the 1061 songs played. They changed game parameters infrequently (31% of songs), but in a way that logically modulated challenge, consistent with the Challenge Point Hypothesis from motor learning. Thus, a therapy based on wearable grip sensing was feasible for home rehabilitation, but only for a fraction of subacute stroke subjects. Subjects made usage decisions consistent with theoretical models of machine failure and motor learning.
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Registered trials
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