"Remind-to-Move" for Promoting Upper Extremity Recovery Using Wearable Devices in Subacute Stroke: A Multi-Center Randomized Controlled Study

Wayne X.J. Wei, Kenneth N.K. Fong, Raymond C.K. Chung, Hobby K.Y. Cheung, Eddie S.L. Chow

Research output: Journal article publicationJournal articleAcademic researchpeer-review

3 Citations (Scopus)

Abstract

This paper examined the effects of "Remind-to-Move" (RTM) via vibration cueing using wearable devices to increase the use of the affected upper limb and integrate upper limb activities undertaken at home in patients with subacute stroke after inpatient discharge. In a multi-centered randomized controlled trial, 84 eligible patients from four general hospitals, who had a first stroke in the last six months, were randomly allocated to either an experimental, sham, or control group, stratified by arm function levels. Patients in the experimental group were treated by RTM, using wearable devices for three consecutive hours daily, over four weeks. The sham group used sham devices, and the control group received usual care alone. A masked assessor evaluated the patients at 0th, 4th, 8th, and 12th weeks using outcome measures included arm function tests, motor activity log, and movement recorded by the devices. Results showed that there was a significant group by time interaction, and the average movement amount and Action Research Arm Test score in the experimental group were significantly higher than in the sham group. This paper demonstrates that RTM via wearable devices used for the hemiplegic upper extremities could promote more arm recovery than the sham or control and, hence, produce an optimal functional improvement for subacute stroke patients.

Original languageEnglish
Article number8540924
Pages (from-to)51-59
Number of pages9
JournalIEEE Transactions on Neural Systems and Rehabilitation Engineering
Volume27
Issue number1
DOIs
Publication statusPublished - Jan 2019

Keywords

  • Remind-to-Move
  • Stroke
  • upper extremity
  • wearable device

ASJC Scopus subject areas

  • Internal Medicine
  • Neuroscience(all)
  • Biomedical Engineering

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