Measuring body movement in movement disorder disease

Abstract

In one example, a system for measuring body movement in a movement disorder disease is provided. The system may comprise at least one processor and a memory storing processor executable codes, which, when implemented by the at least one processor, cause the system to perform operations comprising, at least receiving a video including a sequence of images and detecting at least one object of interest in one or more of the images. Feature reference points of the at least one object of interest are located, and a virtual movement-detection framework is generated in one or more of the images. The operations may include detecting, over the sequence of images, at least one singular or reciprocating movement of the feature reference point relative to the virtual movement-detection framework and generating a virtual path tracking a path of the at least one detected singular or reciprocating movement of the feature reference point.

What is claimed is: 
     
         1 . A system for measuring body movement in movement disorder disease, the system comprising:
 at least one processor and a memory storing processor executable codes, which, when implemented by the at least one processor, cause the system to perform operations comprising, at least:
 receiving a video including a sequence of images; 
 detecting at least one object of interest in one or more of the images; 
 locating feature reference points of the at least one object of interest; 
 generating a virtual movement-detection framework in one or more of the images; 
 detecting, over the sequence of images, at least one singular or reciprocating movement of the feature reference point relative to the virtual movement-detection framework; and 
 generating a virtual path tracking a path of the at least one detected singular or reciprocating movement of the feature reference point. 
   
     
     
         2 . The system of  claim 1 , wherein the operations further comprise:
 positioning or aligning the virtual movement-detection framework with the at least one object of interest in one or more of the images based at least in part on a feature reference point.   
     
     
         3 . The system of  claim 1 , wherein the operations further comprise:
 analyzing coordinates of the virtual path or feature reference point to derive an amplitude of the at least one singular or reciprocating movement of the feature reference point.   
     
     
         4 . The system of  claim 1 , wherein the operations further comprise:
 analyzing coordinates of the virtual path or feature reference point to derive a frequency of the at least one singular or reciprocating movement of the feature reference point.   
     
     
         5 . The system of  claim 1 , wherein the operations further comprise:
 associating the detected at least one singular or reciprocating movement, or the virtual path, with a body movement disorder selected from a plurality of body movement disorders.   
     
     
         6 . The system of  claim 5 , wherein the operations further comprise:
 generating or presenting a disorder status of an individual based on the associated body movement disorder selected from the plurality of body movement disorders.   
     
     
         7 . The system of  claim 6 , wherein the operations further comprise:
 transmitting a communication including data associated with the disorder status based on or including a trend in the disorder status.   
     
     
         8 . A method comprising:
 receiving a video including a sequence of images;   detecting at least one object of interest in one or more of the images;   locating feature reference points of the at least one object of interest;   generating a virtual movement-detection framework in one or more of the images;   detecting, over the sequence of images, at least one singular or reciprocating movement of the feature reference point relative to the virtual movement-detection framework; and   generating a virtual path tracking a path of the at least one detected singular or reciprocating movement of the feature reference point.   
     
     
         9 . The method of  claim 8 , further comprising:
 positioning or aligning the virtual movement-detection framework with the at least one object of interest in one or more of the images based at least in part on a feature reference point.   
     
     
         10 . The method of  claim 8 , further comprising:
 analyzing coordinates of the virtual path or feature reference point to derive an amplitude of the at least one singular or reciprocating movement of the feature reference point.   
     
     
         11 . The method of  claim 8 , further comprising:
 analyzing coordinates of the virtual path or feature reference point to derive a frequency of the at least one singular or reciprocating movement of the feature reference point.   
     
     
         12 . The method of  claim 8 , further comprising:
 associating the detected at least one singular or reciprocating movement, or the virtual path, with a body movement disorder selected from a plurality of body movement disorders.   
     
     
         13 . The method of  claim 12 , further comprising:
 generating or presenting a disorder status of an individual based on the associated body movement disorder selected from the plurality of body movement disorders.   
     
     
         14 . The method of  claim 13 , further comprising:
 transmitting a communication including data associated with the disorder status based on or including a trend in the disorder status.   
     
     
         15 . A machine-readable medium including instructions which, when read by a machine, cause the machine to perform operations including, at least:
 receiving a video including a sequence of images;   detecting at least one object of interest in one or more of the images;   locating feature reference points of the at least one object of interest;   generating a virtual movement-detection framework in one or more of the images;   detecting, over the sequence of images, at least one singular or reciprocating movement of the feature reference point relative to the virtual movement-detection framework; and   generating a virtual path tracking a path of the at least one detected singular or reciprocating movement of the feature reference point.   
     
     
         16 . The medium of  claim 15 , wherein the operations further comprise:
 positioning or aligning the virtual movement-detection framework with the at least one object of interest in one or more of the images based at least in part on a feature reference point.   
     
     
         17 . The medium of  claim 15 , wherein the operations further comprise:
 analyzing coordinates of the virtual path or feature reference point to derive an amplitude of the at least one singular or reciprocating movement of the feature reference point.   
     
     
         18 . The medium of  claim 15 , wherein the operations further comprise:
 analyzing coordinates of the virtual path or feature reference point to derive a frequency of the at least one singular or reciprocating movement of the feature reference point.   
     
     
         19 . The medium of  claim 15 , wherein the operations further comprise:
 associating the detected at least one singular or reciprocating movement, or the virtual path, with a body movement disorder selected from a plurality of body movement disorders.   
     
     
         20 . The medium of  claim 19 , wherein the operations further comprise:
 generating or presenting a disorder status of an individual based on the associated body movement disorder selected from the plurality of body movement disorders.