Quantitative assessment of stroke patients based on dynamic time warping algorithm.
	    		
		   		
		   			
		   		
	    	
    	 
    	10.7507/1001-5515.201611050
   		
        
        	
        	
        	
        		- Author:
	        		
		        		
		        		
			        		Shuna LI
			        		
			        		
			        		
			        			1
			        			
			        		
			        		
			        		
			        		
			        		;
		        		
		        		
		        		
			        		Lei YU
			        		
			        		
			        		
			        			2
			        			
			        		
			        		
			        		
			        		
			        		
		        		
		        		
		        		
		        		
		        			
			        		
			        		Author Information
			        		
		        		
		        		
			        		
			        		
			        			1. School of Information and Communication Engineering, North University of China, Taiyuan 030051, P.R.China.
			        		
			        			2. Complex Systems Research Center, Shanxi University, Taiyuan 030006, P.R.China;Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, Jiangsu 215163, P.R.China.yulei@sxu.edu.cn.
			        		
		        		
	        		
        		 
        	
        	
        	
        		- Publication Type:Journal Article
 
        	
        	
        		- Keywords:
        			
	        			
	        				
	        				
			        		
				        		Fugl-Meyer Assessment scale;
			        		
			        		
			        		
				        		accelerometer sensor;
			        		
			        		
			        		
				        		dynamic time warping;
			        		
			        		
			        		
				        		stroke
			        		
			        		
	        			
        			
        		
 
        	
            
            
            	- From:
	            		
	            			Journal of Biomedical Engineering
	            		
	            		 2018;35(1):139-144
	            	
            	
 
            
            
            	- CountryChina
 
            
            
            	- Language:Chinese
 
            
            
            	- 
		        	Abstract:
			       	
			       		
				        
				        	In order to accurately evaluate the similarity of motions during daily rehabilitation training for stroke patients, this paper proposed a novel quantitative assessment method based on dynamic time warping (DTW) algorithm. Firstly, the raw accelerometer signals were preprocessed to eliminate the noise. Secondly, the similarity between the accelerometer signals and four standard task templates was calculated respectively, and then the motion was recognized based on the similarity measurements. Finally, the corresponding quantitative assessment model was used to compute the result. The clinical experimental results showed that there were significant differences in the shortest path distance ( value) of DTW between different tasks, and the classification accuracy could be up to 91% when the value was selected as the classification feature. Additionally, with the process of rehabilitation, the value decreased gradually, which means that the value can be taken as the assessment index to evaluate the quality of designated tasks for stroke patients. It also indicated that the value could be applied into the scene of automatic prescription generation and interactive gaming to determine whether it is needed to change the rehabilitation plan or adjust the game difficulty level, so as to implement the individualized rehabilitation services.