http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111914655-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_3c020a3bfe9d62d22c33f10c20d4262b |
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F2218-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F2218-12 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2411 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G16H50-20 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G16H50-20 |
| filingDate | 2020-07-06-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_03a826b4d8c1c78d08a3f38fb229cc47 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_30722f0cb551b972afbc511db4891813 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_58aa3a348c8d715987c337de29f1b56a http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_be53d406c355a40c4230abe5a60fbec8 |
| publicationDate | 2020-11-10-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-111914655-A |
| titleOfInvention | A pulse classification method based on the extraction of salient signal sub-segments |
| abstract | The invention discloses a pulse condition classification method based on the extraction of significant signal sub-segments. S1: collects pulse signals and performs preprocessing to obtain c pulse signal training samples; S2: locates a position indication vector of significant pulse signal sub-segments; S3: Construct a multi-modal distance feature vector; S4: Use the nearest neighbor classifier to classify the pulse signal, and complete the pulse classification based on the extraction of significant signal sub-segments. The pulse condition classification method of the present invention does not need to divide the pulse signal periodically, and extracts sub-segments with distinguishing power from the pulse signal, avoids information redundancy and can speed up the subsequent calculation process. By constructing the multi-modal distance feature vector of the signal sub-segments, the feature information can be complemented, which is helpful to improve the classification accuracy of the pulse signal, realize the automatic recognition of the pulse condition, and provide auxiliary decision-making for the doctor's pulse diagnosis. The extracted pulse signal sub-segments can provide Interpretable results for further clinical analysis. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116564509-A http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116564509-B http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114841214-A |
| priorityDate | 2020-07-06-04:00^^<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/SID419559532 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID24404 |
Total number of triples: 25.