Benefits of Using a Voice and EMG-Driven Actuated Glove to Support Occupational Therapy for Stroke Survivors

Kelly O. Thielbar, Kristen M. Triandafilou, Heidi C. Fischer, Jake M. O'Toole, Molly L. Corrigan, Jose M. Ochoa, Mary Ellen Stoykov, Derek G. Kamper

Research output: Contribution to journalArticlepeer-review

23 Scopus citations

Abstract

Many mechatronic devices exist to facilitate hand rehabilitation, however few directly address deficits in muscle activation patterns while also enabling functional task practice. We developed an innovative voice and electromyography-driven actuated (VAEDA) glove, which is sufficiently flexible/portable for incorporation into hand-focused therapy post-stroke. The therapeutic benefits of this device were examined in a longitudinal intervention study. Twenty-two participants with chronic, moderate hand impairment [Chedoke-McMaster Stroke Assessment Stage of Hand (CMSA-H = 4)] enrolled > 8 months post-stroke for 18 1-h training sessions ( 3\,\times week) employing a novel hand-focused occupational therapy paradigm, either with (VAEDA) or without (No-VAEDA) actuated assistance. Outcome measures included CMSA-H, Wolf Motor Function Test (WMFT), Action Research Arm Test, Fugl-Meyer Upper Extremity Motor Assessment (FMUE), grip and pinch strength and hand kinematics. All outcomes were recorded at baseline and endpoint (immediately after and four weeks post-training). Significant improvement was observed following training for some measures for the VAEDA group (n = 11) but for none of the measures for the No-VAEDA group (n = 11). Specifically, statistically significant gains were observed for CMSA-H (p = 0.038) and WMFT (p = 0.012) as well as maximum digit aperture subset (p = 0.003, n = 7), but not for the FMUE or grip or pinch strengths. In conclusion, therapy effectiveness appeared to be increased by employment of the VAEDA glove, which directly targets deficits in muscle activation patterns.

Original languageEnglish (US)
Article number7470432
Pages (from-to)297-306
Number of pages10
JournalIEEE Transactions on Neural Systems and Rehabilitation Engineering
Volume25
Issue number3
DOIs
StatePublished - Mar 1 2017

Keywords

  • Fingers
  • hand
  • rehabilitation
  • stroke
  • training

ASJC Scopus subject areas

  • Neuroscience(all)
  • Biomedical Engineering
  • Computer Science Applications

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