Automated detection of sleep and waking states

Details Automated detection of sleep and waking states Automated detection of sleep and waking states

2006-05-09

2011-12-06

Mallari, Patricia (Department: 3735)

Surgery

Diagnostic testing

Detecting brain electric signal

Reexamination Certificate

active

08073534

ABSTRACT:
Determining low power frequency range information from spectral data. Raw signal data can be adjusted to increase dynamic range for power within low power frequency ranges as compared to higher-power frequency ranges to determine adjusted source data valuable for acquiring low power frequency range information. Low power frequency range information can be used in the analysis of a variety of raw signal data. For example, low power frequency range information within electroencephalography data for a subject from a period of sleep can be used to determine sleep states. Similarly, automated full-frequency spectral electroencephalography signal analysis can be useful for customized analysis including assessing sleep quality, detecting pathological conditions, and determining the effect of medication on sleep states.

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