A Brunnstrom stage evaluation system with fuzzy-accelerometer

Te Jen Su, Kun Liang Lo, Jason Sheng-Hon Tsai, Wen An Yeh, Cho Feng Kuo

Research output: Contribution to journalArticle

Abstract

Advances in medical care has reduced the rate of mortality from strokes, but the incidence of stroke has remained stable while the incidence of ministrokes has increased. Most stroke victims require long-term care, imposing a heavy financial and emotional burden on families while incurring a heavy cost to society. Thus, strokes are a key issue in the context of health care in Taiwan. This paper proposes using VBA (Visual Basic for Applications) to build a system for assessing Brunnstrom stages based on the observation of several obvious rehabilitation features The system calculates features for accelerometer readings, which are then used as input parameters for a fuzzy algorithm to obtain the Brunnstrom action level. Experimental results show the proposed approach effectively assesses Brunnstrom level, and that the approach can be used to assist physical therapists in performing longitudinal assessments of stroke victim progress, thus improving evaluation efficiency.

Original languageEnglish
Article number3718
JournalApplied Sciences (Switzerland)
Volume9
Issue number18
DOIs
Publication statusPublished - 2019 Sep 1

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accelerometers
strokes
Health care
Accelerometers
evaluation
Patient rehabilitation
incidence
mortality
Costs
Taiwan
health
costs

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Instrumentation
  • Engineering(all)
  • Process Chemistry and Technology
  • Computer Science Applications
  • Fluid Flow and Transfer Processes

Cite this

Su, Te Jen ; Lo, Kun Liang ; Tsai, Jason Sheng-Hon ; Yeh, Wen An ; Kuo, Cho Feng. / A Brunnstrom stage evaluation system with fuzzy-accelerometer. In: Applied Sciences (Switzerland). 2019 ; Vol. 9, No. 18.
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A Brunnstrom stage evaluation system with fuzzy-accelerometer. / Su, Te Jen; Lo, Kun Liang; Tsai, Jason Sheng-Hon; Yeh, Wen An; Kuo, Cho Feng.

In: Applied Sciences (Switzerland), Vol. 9, No. 18, 3718, 01.09.2019.

Research output: Contribution to journalArticle

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AU - Su, Te Jen

AU - Lo, Kun Liang

AU - Tsai, Jason Sheng-Hon

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AU - Kuo, Cho Feng

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