| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_8d82405cb1330866219f96463aa6049e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_30b69d6a20cc26da0fd4d50e3275a588
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_bf4b1d485d6558914eef5c0d02c053ff
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_41e4f65402a05797fef42c61acb24a43
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_f278ab8fb471c7f78279bde9b4eda8a1 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2033-4975 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-497
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N27-417
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N27-4074
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-64
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N27-4065
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N27-407
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N27-301
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N33-0047 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N33-64
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N27-406
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N27-417
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N27-30 |
| filingDate |
2019-09-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_50acca337b26e99066275f4f488140fd
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1e735e50943ae66bfdf01625fe02a71f
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c2b44d228825f747b702b79bad37ab75
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_041cbc5ed746b751b4daddaf00ca4c00 |
| publicationDate |
2020-04-02-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2020103366-A1 |
| titleOfInvention |
Sensor for detection of acetone |
| abstract |
Continuous monitoring of acetone is a challenge using related art sensing methods. Though real-time detection of acetone from different biofluids is promising, signal interference from other biomarkers remains an issue. A minor fluctuation of the signals in the micro-ampere range can cause substantial overlapping in linear/polynomial calibration fittings. To address the above in non-invasive detection, principal component analysis (PCA) can be used to generate specific patterns for different concentration points of acetone in the subspace. This results in improvement of the problem of overlapping of the signals between two different concentration points of the data sets while eliminating dimensionality and redundancy of data variables. An algorithm following PCA can be incorporated in a microcontroller of a sensor, resulting in a functional wearable acetone sensor. Acetone in the physiological range (0.5 ppm to 4 ppm) can be detected with such a sensor. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2022187245-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2023194474-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11604164-B2 |
| priorityDate |
2018-10-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |