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The Korean Institute of Electrical Engineers (대한전기학회)
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Evaluation of Hemiplegic Gait Using Accelerometer

가속도센서를 이용한 편마비성보행 평가

  • Lee, Jun Seok (Interdisciplinary Program of Biomedical Engineering, Chonnam National University) ;
  • Park, Sooji (Department of Biomedical Engineering, Chonnam National University) ;
  • Shin, Hangsik (Department of Biomedical Engineering, Chonnam National University)
  • Received : 2017.09.07
  • Accepted : 2017.10.22
  • Published : 2017.11.01
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Abstract

The study aims to distinguish hemiplegic gait and normal gait using simple wearable device and classification algorithm. Thus, we developed a wearable system equipped three axis accelerometer and three axis gyroscope. The developed wearable system was verified by clinical experiment. In experiment, twenty one normal subjects and twenty one patients undergoing stroke treatment were participated. Based on the measured inertial signal, a random forest algorithm was used to classify hemiplegic gait. Four-fold cross validation was applied to ensure the reliability of the results. To select optimal attributes, we applied the forward search algorithm with 10 times of repetition, then selected five most frequently attributes were chosen as a final attribute. The results of this study showed that 95.2% of accuracy in hemiplegic gait and normal gait classification and 77.4% of accuracy in hemiplegic-side and normal gait classification.

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References

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