http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-101991054-B1
Outgoing Links
Predicate | Object |
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assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_213a2798e06fbcfc9b6f0f00bc8cbb56 |
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-389 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-4076 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-04012 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7267 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0488 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-316 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-0488 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00 |
filingDate | 2018-12-24-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
grantDate | 2019-06-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_74f22b5f8154956678080b34be3d5181 |
publicationDate | 2019-06-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | KR-101991054-B1 |
titleOfInvention | Needle EMG data analysis apparatus and method for detection of neuromuscular disease |
abstract | The present invention relates to a device and a method for analyzing a needle electromyography test result for diagnosing neuromuscular disease which enables diagnosis of neuromyopathy of a subject from a needle electromyography test result by learning and analyzing a result of a needle electromyography test using a machine learning technique As a result, This is a learning data collection unit that collects and stores a plurality of needle electromyography results of patients having different neuromuscular pathologies and normal persons; A needle electromyography test part acquiring and providing a result of a needle electromyogram test of a subject to be diagnosed; A preprocessing unit for removing noise included in a needle electromyography test result obtained through the learning data collection unit or the needle electromyography test unit and extracting an effective data interval; And a learning unit which generates a plurality of learning data based on the result of the electromyographic test obtained by the learning data collecting unit and repeatedly learns the correlation between the needle electromyogram test result and the neuromuscular pathosis in the machine learning model through the learning data, ; And an analyzer for recognizing and notifying the kind of neuropathicopathy corresponding to the needle electromyography test result obtained through the needle electromyography test unit using the machine learning model. |
isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-20220125842-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-20210097286-A |
priorityDate | 2018-10-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Predicate | Subject |
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isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419485969 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID187 |
Total number of triples: 23.