Enhancing deep sleep based on information from frontal brain activity monitoring sensors
US11612713B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 27, 2020 |
| Grant date | Mar 28, 2023 |
| Priority date | — |
| Expiry date | May 2, 2041 |
Classification
- Technology area (CPC A)Human Necessities
- CPC primaryA61M2230/14
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Typically, high NREM stage N3 sleep detection accuracy is achieved using a frontal electrode referenced to an electrode at a distant location on the head (e.g., the mastoid, or the earlobe). For comfort and design considerations it is more convenient to have active and reference electrodes closely positioned on the frontal region of the head. This configuration, however, significantly attenuates the signal, which degrades sleep stage detection (e.g., N3) performance. The present disclosure describes a deep neural network (DNN) based solution developed to detect sleep using frontal electrodes only. N3 detection is enhanced through post-processing of the soft DNN outputs. Detection of slow-waves and sleep micro-arousals is accomplished using frequency domain thresholds. Volume modulation uses a high-frequency/low-frequency spectral ratio extracted from the frontal signal.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.