Evidence map›Paper›PMID 40483524›Full record

ArticleJournal of neuroengineering and rehabilitation2025

A pilot study for self-guided, active robotic training of proprioception of the upper limb in chronic stroke.

Duncan T Tulimieri, GilHwan Kim, Joanna E Hoh, Fabrizio Sergi, Jennifer A Semrau

Abstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Duncan T TulimieriDepartment of Kinesiology and Applied Physiology, University of Delaware, Tower at STAR, 100 Discovery Blvd, Rm 234, Newark, DE, 19713, USA.
GilHwan KimDepartment of Mechanical Engineering, University of Delaware, Newark, USA.
Joanna E HohDepartment of Kinesiology and Applied Physiology, University of Delaware, Tower at STAR, 100 Discovery Blvd, Rm 234, Newark, DE, 19713, USA.
Fabrizio SergiDepartment of Mechanical Engineering, University of Delaware, Newark, USA.
Jennifer A SemrauDepartment of Kinesiology and Applied Physiology, University of Delaware, Tower at STAR, 100 Discovery Blvd, Rm 234, Newark, DE, 19713, USA. semrau@udel.edu.

Funding

National Science Foundation 1934650
6 · The paper itself

Abstract

backgroundProprioceptive impairments of the upper limb are common after stroke. These impairments are not typically addressed during assessment or rehabilitation. Currently, most robotic paradigms for training of the upper limb have focused solely on improving motor function or have targeted proprioception in individuals with combined use of visual feedback. Our goal was to design a training paradigm that directly targets proprioception of the upper limb, while minimizing reliance on other sensory information to improve sensorimotor function after stroke.

methodsIn this pilot study, 5 individuals with stroke and 5 age-matched controls were tested on a single-day proprioceptive training paradigm. Here, participants used a joystick with their less-affected arm to send commands to a KINARM exoskeleton that would passively move their more-affected arm. To complete the passive reaching task, participants relied only on proprioceptive feedback from the more-affected arm and were only given knowledge of results information after each trial. Sensorimotor function of the upper limb was measured pre- and post-training via robotic measures of motor function [Visually Guided Reaching (VGR)] and position sense [Arm Position Matching (APM)]. Sensorimotor function was quantified as a Task Score, which incorporated multiple task-relevant parameters for both VGR and APM. Changes in sensorimotor performance due to training were calculated as the pre- to post-training difference for VGR and APM within the control and stroke groups.

resultsWe found significant improvements from pre-training to post-training for VGR in individuals with stroke (p < 0.001, CLES = 100) that were not observed in control participants (p = 0.87, CLES = 80). We observed significant changes from pre- to post-training in both VGR (Posture Speed, Reaction Time, Initial Direction Angle, Min-Max Speed Difference, and Movement Time) and APM (Contraction/Expansion Ratio

conclusionsOur novel proprioceptive training paradigm is one of the first to implement a self-guided sensory training protocol. We observed improvements in motor function and proprioception for individuals with stroke. This pilot study demonstrates the feasibility of self-guided proprioceptive training to improve motor and sensory function in individuals with stroke. Future studies aim to examine multi-day training to examine longer-term impacts on upper limb sensorimotor function.

Indexed as

ProprioceptionRoboticsStroke RehabilitationUpper ExtremityAdultAgedChronic DiseaseExoskeleton DeviceFeedback, SensoryFemaleHumansMaleMiddle AgedPilot ProjectsStrokeProprioceptionRoboticsSensorimotorStrokeTraining

Identifiers

PMID40483524
PMCPMC12145635

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.