http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114038060-A
Outgoing Links
Predicate | Object |
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assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_17141643bb2f8caec025659b3e3dce42 |
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2415 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2163 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-22 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V40-20 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V20-52 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-774 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-74 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-764 |
filingDate | 2021-11-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a210f1c1f766548e6ad69ee32f552623 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_91187931d568119719bd67b9c3fa2a18 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a041c1d69db7cd9e67aba38ea733a3e6 |
publicationDate | 2022-02-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | CN-114038060-A |
titleOfInvention | Detection method, terminal and storage medium for leg joint gait |
abstract | The embodiment of the present invention relates to the field of data analysis, and discloses a detection method for leg joint gait, which specifically includes the following steps: constructing a gait database based on analysis of gait images of the crowd; combining with normalization processing, obtaining patients Gait parameters and gait trajectory of joint points in the walking process; construct fitness functions from the gait trajectory and samples in the gait database and solve, and optimize the gait parameters; Gait parameters, the patient's gait is analyzed and evaluated. The gait analysis of the patient's leg joints will be converted into parameter optimization analysis, so as to quantify the analysis of the health of the leg joints, and evaluate the results. The detection results are obtained quickly and the detection process takes less time. Compared with the traditional static image analysis, it is more helpful to analyze the overall motion effect of the patient's leg joints, and the obtained detection results are more accurate and comprehensive. |
priorityDate | 2021-11-09-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
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isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID454006091 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID11178 |
Total number of triples: 23.