http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-100883185-B1
Outgoing Links
Predicate | Object |
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classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-389 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-398 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-021 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-369 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-726 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7264 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-318 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7235 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7267 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-0452 |
filingDate | 2007-06-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
grantDate | 2009-02-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationDate | 2009-02-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | KR-100883185-B1 |
titleOfInvention | Abnormal data extraction device of biological signal using weighted fuzzy membership function based neural network algorithm and method thereof |
abstract | The present invention relates to an apparatus and method for extracting abnormal data of a biological signal for detecting a biological signal and extracting abnormal data of the detected biological signal. More particularly, the present invention relates to a weighted fuzzy membership function-based neural network algorithm enhanced in a detected biological signal. It is to extract the fuzzy characteristics of the bio-signals accurately by applying the and to extract the abnormal data of the bio-signals from the detected bio-signals by comparing the fuzzy characteristics of the extracted bio-signals with the stored fuzzy rules. n An apparatus for extracting abnormal data of a biosignal using a weighted fuzzy membership function based neural network algorithm includes a biosignal detection unit detecting a biosignal of a biosignal detection target and a wavelet coefficient by performing wavelet transform on the detected biosignal A fuzzy characteristic extractor extracting a fuzzy characteristic of a biosignal by applying a wavelet coefficient extracting unit extracting a signal, a weighted fuzzy membership function-based neural network algorithm, and a fuzzy characteristic of the extracted biosignal And an abnormal data extracting unit for comparing the stored fuzzy rules to extract abnormal data of the biosignal and accumulating and storing the abnormal data of the extracted biosignal. n n Abnormality of bio signal, fuzzy neural network, bio signal |
isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-101251081-B1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-102056704-B1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-102085693-B1 http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-20190140864-A |
priorityDate | 2007-06-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 25.