http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-106725509-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B2505-09 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-389 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-1038 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-11 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-72 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-0488 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-11 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-103 |
| filingDate | 2016-12-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2020-04-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2020-04-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-106725509-B |
| titleOfInvention | Feature extraction method of biomechanical information |
| abstract | The invention discloses a feature extraction method of biomechanical information, which comprises the following steps: collecting biomechanical information of a patient in the exercise process through collection equipment, wherein the biomechanical information comprises posture information, myoelectric information and plantar pressure information; constructing a human body limb mechanical model according to the motion process of a patient; fitting the biomechanical information by adopting a Bayesian decision function mode according to the biomechanical information and weight information corresponding to different parts in the human body limb mechanical model; and performing feature extraction on the fitted biomechanical information. By adopting the invention, the posture information, the myoelectric information and the plantar pressure information are integrated, the motion control and completion effectiveness of the patient can be quantitatively evaluated, and the posture control capability of the patient can be objectively, accurately and quantitatively evaluated, so that the rehabilitation diagnosis and treatment become more visual and quantifiable, the falling risk can be clinically judged, the living activity range of the patient can be determined, and the treatment potential and the treatment direction of the patient can be determined. |
| priorityDate | 2016-12-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
| Predicate | Subject |
|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID451110572 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID9794626 |
Total number of triples: 18.