Drowsiness Detection: Effects of Feedback Based on EEG
DESCRIPTION:( provided by applicant) Fatigue management is a critical public
health concern in today's 24-hour society. Fatigue-related accidents and decreased
productivity cost the U.S. over $77 billion each year. The ability to objectively and
reliably rnonitor fatigue levels in real-time while individuals engage in
nornnal daily activities would significantly improve safety, increase
productivity and save lives. In Phase I, the effectiveness of providing
real-time feedback based on EEG indices of drowsiness in decreasing the impact
of fatigue induced by sleep deprivation will be investigated. Subjective and
objective measures of drowsiness will be obtained while subjects perform
vigilance, memory and driving simulator tasks. Verbal messages and warning
alarms will be delivered when EEG indices of drowsiness are identified by the
Company's B-Alert software which classifies each second of EEG on a continuum
from alert to sleep onset. The duration and magnitude of the feedback effects
on performance and the perceived impact on drowsiness will be quantified.
Subject's ability to predict the onset of sleep will also be measured before
and after feedback sessions to determine whether the system has utility as a
training device. A reliable EEG-based drowsiness detection device will be
completed once the criteria for feedback are established.
PROPOSED COMMERCIAL APPLICATION:
The Drowsiness Detection Device will be marketed to employers of airline pilots, truck/bus
drivers, railroad operators and other shift workers in safety sensitive positions. The
system also has utility as a training device to increase subjective awareness of drowsiness.
Medical applications of the system include continuous monitoring of alertness in patients
with sleep disorders, treatment outcome assessment and pharmaceutical evaluations of
medications that induce daytime drowsiness.
Small Business Information at Submission:
Principal Investigator:Daniel J. Levendowski
ADVANCED BRAIN MONITORING, INC.
2850 PIO PICO DR, STE A CARLSBAD, CA 92008
Number of Employees: