Earticle

초록

영어

Simulated gait experiments have provided evidence of the possibility of falls when test subjects experienced abnormal gait (fluctuating gait cycle). Falls will lead to increased healthcare and social cost. This study explored the possibility to classify normal gaits (stable gait cycle) and abnormal gaits. A triaxial accelerometer was used to capture 3-dimensional values of trunk acceleration data for 144 healthy subjects. Normal and abnormal gait experiments were carried out and the experiment data was analyzed statistically. Quantitative analysis results revealed significant differences between the values of trunk acceleration of normal and abnormal gaits. The values of trunk acceleration of abnormal gaits in medio-lateral, anterior-posterior and vertical directions are 257%, 376% and 217% larger than those of a normal gait respectively. A threshold based algorithm to classify normal and abnormal gaits was proposed and evaluated by the developed prototype classifier using the smartphone. The prototype classifier has achieved 100% accuracy in the ability to classify normal and abnormal gaits.

목차

Abstract
 1. Introduction
 2. Method
  2.1. Participants
  2.2. Devices
  2.3. Procedures
 3. Results
  3.1. Statistical Data of Trunk Acceleration of Normal and Abnormal Gaits
  3.2. Threshold Levels Definition for Normal and Abnormal Gaits Classification
 4. Discussion
  4.1. Trunk Acceleration
  4.2. Algorithm Verification Results
 5. Conclusions
 References

키워드

저자

• Yea-Dat Chuah [ Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Malaysia ]
• Bok-Min Goi [ Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Malaysia ]
• Ryoichi Komiya [ Lee Kong Chian Faculty of Engineering and Science, Universiti Tunku Abdul Rahman, Malaysia ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Bio-Science and Bio-Technology

• 간기

  격월간

• pISSN

  2233-7849

• 수록기간

  2009~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605