Evaluation method and evaluation device for adaptation effect of artificial limb
A prosthetic and gait technology, applied in prosthesis, medical science, sensors, etc., can solve problems such as false positives, achieve the effect of improving accuracy, comprehensive and reasonable evaluation standards, and eliminating gait errors
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Embodiment 1
[0054] This embodiment provides a method for evaluating the fitting effect of a prosthetic limb, such as figure 1 shown, including the following steps:
[0055] S100: Collect gait kinematic parameters, gait dynamics parameters and electromyography parameters of the prosthetic wearer in multiple gait cycles.
[0056] In this step, the wearer of the prosthesis can walk a certain distance on a flat ground, a ramp or a step to collect various parameters generated during the walking process. The plurality of gait cycles in this example include gait cycles for the entire distance the prosthetic wearer has walked during the entire testing process. The gait kinematics parameters are periodic, and the time course from the heel on one side of the body touching the ground to the heel on this side touching the ground again is called the gait cycle. Specifically, the gait kinematic parameters include spatial parameters and temporal parameters within a gait cycle. For example, pace refer...
Embodiment 2
[0114] This embodiment provides a device 300 for evaluating the fitting effect of a prosthetic limb, such as image 3 As shown, it includes a parameter acquisition unit 310 , an optimal gait determination unit 320 , a feature acquisition unit 330 and a scoring unit 340 .
[0115] in:
[0116] The parameter collection unit 310 is adapted to collect the gait kinematics parameters, gait dynamics parameters and myoelectric parameters of the prosthetic wearer in multiple gait cycles, wherein the gait kinematics parameters include pace, cadence, stride Length, stride length, gait cycle, hip angle, knee angle and ankle angle, the gait dynamics parameters include ground reaction force, hip moment, knee moment and ankle moment.
[0117] The optimal stroke determination unit 320 is adapted to determine an optimal stroke from the plurality of gait cycles based on the gait kinematics information, wherein the optimal stroke includes N consecutive gait cycles;
[0118] The feature acquisi...
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