In view of the uncertainty and complexity,the intelligent model of rehabilitation training program for stroke was proposed,combining with the case-based reasoning(CBR) and interval type-2 fuzzy reasoning(IT2FR).The mo...In view of the uncertainty and complexity,the intelligent model of rehabilitation training program for stroke was proposed,combining with the case-based reasoning(CBR) and interval type-2 fuzzy reasoning(IT2FR).The model consists of two parts:the setting model based on CBR and the feedback compensation model based on IT2FR.The former presets the value of rehabilitation training program,and the latter carries on the feedback compensation of the preset value.Experimental results show that the average percentage error of two rehabilitation training programs is 0.074%.The two programs are made by the intelligent model and rehabilitation physician.That is,the two different programs are nearly identical.It means that the intelligent model can make a rehabilitation training program effectively and improve the rehabilitation efficiency.展开更多
This case report reveals the implementation of sensorimotor adaptation and learning process for rehabilitation in a patient with traumatic brain injuw to achieve optimum recovery which is permanent in nature in compli...This case report reveals the implementation of sensorimotor adaptation and learning process for rehabilitation in a patient with traumatic brain injuw to achieve optimum recovery which is permanent in nature in compliance to the disability rating scale. A twenty two year old gentleman who had a history of fall was diagnosed as having subarachnoid hemorrhage along with diffuse axonal injury of the brain and bilateral lung contusion with pneumothorax. He underwent a total of ten months of sensorimotor adaptation and learning process for rehabilitation, which achieved functional mobility with a walker.展开更多
基金Project(2010020176-301)supported by Liaoning Science and Technology Program,ChinaProject(F10-2D5-1-57)supported by Shenyang Municipal Fund,China
文摘In view of the uncertainty and complexity,the intelligent model of rehabilitation training program for stroke was proposed,combining with the case-based reasoning(CBR) and interval type-2 fuzzy reasoning(IT2FR).The model consists of two parts:the setting model based on CBR and the feedback compensation model based on IT2FR.The former presets the value of rehabilitation training program,and the latter carries on the feedback compensation of the preset value.Experimental results show that the average percentage error of two rehabilitation training programs is 0.074%.The two programs are made by the intelligent model and rehabilitation physician.That is,the two different programs are nearly identical.It means that the intelligent model can make a rehabilitation training program effectively and improve the rehabilitation efficiency.
文摘This case report reveals the implementation of sensorimotor adaptation and learning process for rehabilitation in a patient with traumatic brain injuw to achieve optimum recovery which is permanent in nature in compliance to the disability rating scale. A twenty two year old gentleman who had a history of fall was diagnosed as having subarachnoid hemorrhage along with diffuse axonal injury of the brain and bilateral lung contusion with pneumothorax. He underwent a total of ten months of sensorimotor adaptation and learning process for rehabilitation, which achieved functional mobility with a walker.
