CPC A61B 5/1114 (2013.01) [A61B 5/0004 (2013.01); A61B 5/1072 (2013.01); A61B 5/1075 (2013.01); A61B 5/1107 (2013.01); A61B 5/1121 (2013.01); A61B 5/7267 (2013.01); A61B 2562/0219 (2013.01); A61B 2562/0252 (2013.01)] | 19 Claims |
1. A method for measuring and assessing limb movement properties, the method comprising:
disposing a position, velocity, and resistance meter (PVRM) on one or more body segments connected by a joint of a subject;
conducting a test protocol with the PVRM, wherein the test protocol comprises passive manipulation of the one or more body segments multiple times at different speeds;
obtaining raw data from the PVRM and transmitting the raw data from the PVRM to an electronic device;
processing the raw data to obtain processed data;
obtaining a set of parameters based on the processed data;
obtaining a classification result according to a muscle resistance-related classifying algorithm based on the set of parameters, by:
determining whether a sign of high muscle resistance is present based on the set of parameters;
in response to determining that the sign of high muscle resistance is not present, determining a subject is in a healthy condition; and
in response to determining that the sign of high muscle resistance is present:
determining whether a catch is present and/or a difference in resistance at a slow and fast stretch speed of the different speeds is larger than a pre-determined threshold,
in response to determining that the catch is present and/or the difference in resistance at the slow and fast stretch speed is larger than the pre-determined threshold, determining a spasticity-classification result based on a spasticity-classifying algorithm, and
in response to determining that the catch is not present and the difference in resistance at the slow and fast stretch speed is not larger than the pre-determined threshold, determining a rigidity-classification result based on a rigidity-classifying algorithm;
assessing a limb movement property according to the classification result;
reconstructing a history of the limb movement property for a treatment plan for the subject;
generating a table or graph of the reconstructed history of the limb movement property for the treatment plan, wherein the treatment plan includes details of timing, type, and intensity of the test protocol conducted; and
displaying the generated table or graph to show progression of muscle conditions under the treatment plan and displaying the treatment plan;
wherein the spasticity-classifying algorithm comprises a defined Metric of Spasticity (MOS):
MOS=(α×τpk)+(b×Δτpk)+(c×τavg)+(d×θROM)+(e×θcatch)
wherein:
τpk is a peak muscle resistance;
Δτpk is a change in peak muscle resistance at the different speeds;
τavg is an average muscle resistance;
θROM is a range of motion;
θcatch is a catch angle;
α, b, c, d, and e are constants;
α>0, b>0, c>0, d<0, e<0; and
|a|>|b|>|c|>|d|>|e|.
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