Establishment of a Rehabilitation Training Prescription Recommended Model for Stroke Based on Brain Function and Movement Assessment
Zhang Tengyu1#&, Zhang Jingsha1#&, Xu Gongcheng2, Wang Zheng1, Zhang Xuemin1, Li Zengyong1,2#*
1(Key Laboratory of Neuro-Functional Information and Rehabilitation Engineering of the Ministry of Civil Affairs, Beijing Key Laboratory of Rehabilitation Technical Aids for Old-Age Disability, National Research Center for Rehabilitation Technical Aids, Beijing 100176, China) 2(School of Biological Science and Medical Engineering,Beihang University, Beijing 100191, China)
Abstract：To establish intelligent recommendation model for rehabilitation training prescriptions based on the evaluation indexes of movement and brain function for stroke patients,120 stroke patients were evaluated by Brunnstrom, Holden walking ability scale, Berg balance scale and improved Ashworth scale, and the cerebral blood oxygen data were collected at rest state by near-infrared brain functional imaging system. The scale evaluation results and the brain function evaluation indexes (activate degrees, cornering, and function connection between different brain regions) were extracted, the support vector machine (SVM), the convolutional neural network (CNN) and the improved CNN-SVM algorithm were used to build the prescription recommended model, and the training modes of eight kinds of training contents were recommended. The model using the scale evaluation results and the functional connectivity index between different brain regions as features had the highest recognition accuracy, and the average recognition accuracy of the three algorithms was above 93%. Among them, the recognition accuracy of the improved CNN-SVM algorithm was highest, which reached 96.43%. This method realized the intelligent recommendation of rehabilitation training prescription based on the movement and brain function evaluation data of stroke patients, which would be beneficial to personalized and accurate rehabilitation.
作者简介: #中国生物医学工程学会会员(Member, Chinese Society of Biomedical Engineering)。&共同第一作者(Co-first authors)
引用本文:
张腾宇, 张静莎, 徐功铖, 王峥, 张学敏, 李增勇. 融合脑功能和运动评估的脑卒中康复训练处方推荐模型构建[J]. 中国生物医学工程学报, 2021, 40(4): 394-400.
Zhang Tengyu, Zhang Jingsha, Xu Gongcheng, Wang Zheng, Zhang Xuemin, Li Zengyong. Establishment of a Rehabilitation Training Prescription Recommended Model for Stroke Based on Brain Function and Movement Assessment. Chinese Journal of Biomedical Engineering, 2021, 40(4): 394-400.
