Adaptive filtration of sweat artifacts during electronic brain monitoring
US10555670B2 · kind B2 · utility
2Cited by
3References
20Claims
0Family size
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Key dates
| Filing date | Jul 10, 2017 |
| Grant date | Feb 11, 2020 |
| Priority date | — |
| Expiry date | May 27, 2038 |
Classification
- Technology area (CPC A)Human Necessities
- CPC primaryA61B2562/029
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A method and system of removing artifacts in electroencephalogram (EEG) signals is provided. Digital EEG data, based on a digitizing of analog EEG signals of a patient from a first electrode, is received. Digital sweat sensor data, based on a digitizing of analog sweat sensor signals of the patient that are contemporaneous with the analog EEG signals, is received. A transform is applied to the digital sweat sensor data based on a predetermined sweat stress profile of the patient. The digital EEG data is adaptively adjusted by subtracting the transformed sweat sensor data from the digital EEG data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.