http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109645996-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B2560-0214 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-389 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-227 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7267 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4325 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-391 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-22 |
| filingDate | 2019-02-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2022-04-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2022-04-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-109645996-B |
| titleOfInvention | Uterine contraction debilitation monitoring method and system, intelligent terminal and storage medium |
| abstract | The invention discloses a uterine contraction debilitation monitoring method, which comprises the following steps: s1, collecting real-time uterine myoelectric data of the pregnant woman; s2, inputting the acquired real-time uterine myoelectric data of the pregnant woman into a pre-trained network model for prediction; and S3, outputting a prediction result, and obtaining whether the uterus of the pregnant woman is in a uterine contraction hypodynamia state or not according to the prediction result. The application also provides a uterine contraction hypodynamia monitoring system, an intelligent terminal and a storage medium. The invention is based on a deep learning method, and the EHG data is predicted and classified by only one network model, thereby improving the efficiency and the accuracy. |
| priorityDate | 2019-02-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 18.