A Brunnstrom Stage Evaluation System with Fuzzy-Accelerometer

• Main Authors: Te-Jen Su, Kun-Liang Lo, Jason Sheng-Hong Tsai, Wen-An Yeh, Cho- Feng Kuo
• Format: Article
• Language: English
• Published: MDPI AG 2019-09-01
• Series: Applied Sciences
• Subjects: fuzzy algorithm; accelerometer; Brunnstrom stages; features
• Online Access: https://www.mdpi.com/2076-3417/9/18/3718

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.