| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_dcac1cb2d9186a02ebfa76b76c846f72
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_5bb4d938427599dca96cf3ae8335d524
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_93f1355b4e7a72346554a11fcab037c3
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_2eb4d86e062a45669d27ec4287a70ed6
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_82a9e22a923eca64a02a97f0dfb493ed |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0245
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-721
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-349
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F2218-04 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2134
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-0024
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/A61B5-7203 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/A61B5-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00 |
| filingDate |
2012-09-14-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_55711940845c644f90adc843ed3db321
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2eec499ca900566e02d64dac0fb2c407
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2ebcba1bd3d20cd042a3373d14a7b2f2
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_9e16cac13ddd2388f9d9fa6c8712c3a1 |
| publicationDate |
2013-03-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
WO-2013040399-A1 |
| titleOfInvention |
Method and apparatus for denoising of physiological signals |
| abstract |
The present disclosure relate to techniques for denoising of physiological signals (510). A signal (e.g., physiological signal) comprising at least two signal channels can be decomposed (e.g., using independent component analysis (ICA) (512)) into at least two independent components. Then, independent component (IC) denoising can be applied to estimate which of the at least two independent components belong to a signal space and which of the at least two independent components belong to a noise space using Kurtosis-VarMaen (502), feature extraction (504) and temporal clustering and drift of centroids (506) of said clusters associated with the at least two signal channels. A de-noised version of the signal can be generated by preserving in the signal (Xd) only one or more independent components of the at least two independent components belonging to the signal space. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-105852841-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-105852841-B |
| priorityDate |
2011-09-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |