关键词: 帕金森病, 步态分析, U-型电子步道系统, 支持向量机, 转弯步态特征

Abstract: To achieve the comprehensive and accurate quantitative assessment of parkinsonian dyskinesia and assistant diagnosis of Parkinson’s Disease（PD）, this paper employes a new electronic walkway system used for quantifying gait analysis, the system contains the U-shape electronic walkway and the digital diagnosis system. Sensor signals are obtained from the U-shape electronic walkway. The gait kinematic characteristics related to the patient dyskinesia are extracted by the digital diagnosis system in straight and turning condition. In the testing phase, the Support Vector Machine（SVM） classification algorithm is used to identify the gait pattern of Parkinson’s disease patients. The experimental results indicate that based on the gait locomotion parameters obtained from electronic walkway, the constructed models not only achieve to recognize Parkinson’s disease patients, but also significantly improve the recognition accuracy by using the turning gait features.

Key words: Parkinson’s disease, gait analysis, U-shape electronic walkway system, Support Vector Machine（SVM）, turning gait feature