http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113855053-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_56ff6a3b72247238e92ee3a59c493f2c |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7405 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-742 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7267 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-746 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7455 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-397 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7225 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7235 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7203 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-6802 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-389 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-725 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-397 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-389 |
| filingDate | 2021-06-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_aae897cd81c2b4a264b0b04b30caf43f http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b6be7ddcdff6d81634cded220885011b http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_52ee6a03b22f9063cceeff826166e654 |
| publicationDate | 2021-12-31-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-113855053-A |
| titleOfInvention | Wearable muscle threshold monitoring system based on myoelectricity |
| abstract | The invention provides a novel wearable muscle threshold monitoring system based on myoelectricity, which comprises wearable myoelectricity acquisition equipment, a limb training interface, a physiological state analysis module and early warning. The wearable myoelectricity acquisition equipment comprises: the system comprises a collecting part connected with a human body, a collecting module used for amplifying and converting myoelectric signals, an STM32 microprocessor used for controlling myoelectric collection and transmitting the myoelectric signals to a physiological state analyzing module, a WIFI wireless transmission circuit and a gyroscope circuit. The limb training interface requires a smart phone for training limb movements. The physiological state analysis module identifies the current intention action of the user through various methods and sends an action instruction to the early warning module. And the early warning module at the mobile phone end corresponds to the received instruction. The acquisition, classification and feedback of muscle signals are used for training a machine to monitor the physical condition of a wearer, and then the early warning module makes a relevant response to construct a wearable muscle threshold monitoring system. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114631832-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114504333-A |
| priorityDate | 2021-06-07-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 32.