The application of gait analysis in the identification, differential diagnosis and assessment of Parkinson's disease
10.3760/cma.j.cn113694-20210303-00157
- VernacularTitle:步态分析在帕金森病识别、鉴别诊断与评估中的应用
- Author:
Yan SUN
1
;
Cheng YANG
;
Hong ZHOU
;
Guoping PENG
Author Information
1. 浙江大学医学院附属第一医院神经内科，杭州310003
- Keywords:
Parkinson disease;
Gait;
Diagnosis, differential;
Symptom assessment;
Treatment
- From:
Chinese Journal of Neurology
2021;54(11):1202-1207
- CountryChina
- Language:Chinese
-
Abstract:
Parkinson′s disease is a neurodegenerative disease with characteristic motor symptoms. Due to its increasing disease burden, it has been received widespread attention worldwide. At present, its diagnosis, differential diagnosis, assessment of symptoms and therapeutic effect mostly rely on the clinical experience of medical staff and the subjective feelings of patients, while lack objective and quantitative evaluation criteria. Gait analysis can quantify gait abnormalities by collecting spatiotemporal parameters in the walking cycle, providing new ideas for early identification, accurate discovery of disease progression, and reasonable selection of therapies of Parkinson′s disease. In the future, with the further improvement and maturity of gait analysis technology, it may become an indispensable and important method in the diagnosis and treatment of Parkinson′s disease.
