http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108742614-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0075 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-224 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4519 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-14551 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-389 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-389 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-22 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-397 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-1455 |
| filingDate | 2018-06-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2021-03-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2021-03-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-108742614-B |
| titleOfInvention | Muscle fatigue detection method combining surface myoelectric muscle voice and near infrared spectrum |
| abstract | The invention discloses a muscle fatigue detection method combining surface myoelectric muscle voice and near infrared spectrum, which relates to the field of human motion function detection and evaluation, and adopts isometric static force contraction to manufacture muscle fatigue; synchronously recording surface myoelectricity, muscle sound and near infrared spectrum signals during muscle activity; and quantitatively establishing corresponding fatigue parameters from five aspects of muscle fiber action potential recruitment characteristic, action potential conduction characteristic, muscle fiber low-frequency vibration characteristic, hemodynamics characteristic and blood oxygen metabolism, and analyzing and evaluating the muscle fatigue mechanism. The invention detects and analyzes muscle fatigue in a non-invasive way; more reliable muscle fatigue information is obtained by simultaneously measuring myoelectric muscle sound and near infrared signals; the muscle fatigue can be comprehensively detected from five aspects of muscle fiber action potential recruitment characteristic, action potential conduction characteristic, muscle fiber low-frequency vibration, hemodynamics and blood oxygen metabolism, and the understanding of the fatigue mechanism is deepened. |
| priorityDate | 2018-06-11-04:00^^<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/SID419523291 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID977 |
Total number of triples: 19.