A Brunnstrom stage evaluation system with fuzzy-accelerometer

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

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


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)
Issue number18
Publication statusPublished - 2019 Sept 1

All Science Journal Classification (ASJC) codes

  • General Materials Science
  • Instrumentation
  • General Engineering
  • Process Chemistry and Technology
  • Computer Science Applications
  • Fluid Flow and Transfer Processes


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