Gait feature extraction and generation method for ankle joint ligament injury and system
A technology for gait characteristics and ligament injury, which is applied in neural learning methods, biological neural network models, and light-based diagnosis. sexual effect
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no. 1 example
[0072] This embodiment provides a gait feature extraction and generation method for ankle ligament injuries. The gait feature extraction and generation method for ankle ligament injuries includes:
[0073] S101, collecting gait data of the subject;
[0074] It should be noted that, in this embodiment, the above-mentioned S101 is specifically: based on the Heidelberg foot measurement method, establish 17 sub-sections of the lower limbs covering the lower leg, ankle joint, heel, midfoot and toe. A foot and ankle motion measurement model of bony landmark points; based on the foot and ankle motion measurement model, the gait data of the subject is collected by an optical motion capture system; wherein,
[0075] The characteristic points measured on the calf part include: the inner and outer marker points of the knee joint along the direction of the maximum distance of the knee joint bending axis, the most protruding marker point of the tibial tuberosity, and the tibial trisection ...
no. 2 example
[0119] see Figure 1 to Figure 5 , this embodiment provides a gait feature extraction and generation method for ankle ligament injuries, the method is as follows figure 1 shown, including the following steps:
[0120] S101, constructing a foot and ankle motion measurement model based on the Heidelberg foot measurement method;
[0121] It should be noted that, in this embodiment, as shown in FIG. 2 , the feature marker points involved in the model of this embodiment cover the five lower limb parts of the calf, ankle joint, heel, midfoot, and toe:
[0122] ① Measure 5 feature points on the lower leg, including: the inner and outer marker points (MEP, LEP) of the knee joint along the direction of the maximum distance of the knee joint bending axis; the most protruding marker point of the tibial tuberosity (TTU); points (SH1, SH2);
[0123] ② Two feature points were measured on the ankle joint, specifically including: the inner and outer malleolus markers (MML, LML) along the d...
no. 3 example
[0163] see Image 6 , the present embodiment provides a gait feature extraction and generation system for ankle ligament injuries, the gait feature extraction and generation system for ankle ligament injuries includes:
[0164] A foot and ankle motion measurement module, which is used to collect gait data of the subject;
[0165] A data preprocessing module, the data preprocessing module is used to preprocess the collected gait data;
[0166] A gait phase segmentation module, the gait phase segmentation module is used to perform gait cycles on the preprocessed gait data according to the spatial coordinate positions of the feature marker points according to the common characteristics of the gait and the actual movement conditions of the individual subjects and gait phase automatic segmentation;
[0167] A gait feature space construction module, the gait feature space construction module is used to perform hypothesis testing on the characteristics of each dimension of the inju...
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