The proposed research evaluates the efficacy of the Alertness Profiling (AP) System as a method for objectively quantifying alertness in Sleep Apnea (SA) patients. The AP simultaneously measures electroencephalographic (EEG) indices and performance during vigilance, attention and memory tests. Combining EED and neurobehavioral assessment in a one-hour session, the AP evaluates level of alertness and its effects on accuracy, reaction time and memory. The AP system integrates and easy to-apply EEG headset, PC-based performance tests and a normative database to provide diagnostic assessment and treatment outcome evaluation of SA. In Phase I, hardware and software refinements will be implemented to improve ease of-application, standardize administration, and minimize technician intervention. Pilot data, previously collected from 57 SA patients will be further analyzed to clarify interpretation of results and to develop and apply consensus SA diagnostic criteria. The AP is a convenient, cost-effective method for clinicians, employers, and researchers to measure daytime drowsiness and simultaneously quantify effects on neurobehavioral performance. With physicians increasingly responsible for evaluating vigilance (e.g. commercial drivers) new methods are required for routine assessment. The AP will provide physicians and epidemiological researchers and accurate determination of impact of SA on daytime alertness and performance.

Proposed Commercial Applications

NOT AVAILABLE

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Small Business Innovation Research Grants (SBIR) - Phase II (R44)
Project #
4R44HL070484-02
Application #
6741040
Study Section
Special Emphasis Panel (ZRG1-SSS-3 (10))
Program Officer
Rothgeb, Ann E
Project Start
2002-05-07
Project End
2005-04-30
Budget Start
2003-05-19
Budget End
2004-04-30
Support Year
2
Fiscal Year
2003
Total Cost
$683,352
Indirect Cost
Name
Advanced Brain Monitoring, Inc.
Department
Type
DUNS #
969842715
City
Carlsbad
State
CA
Country
United States
Zip Code
92008
Berka, Chris; Levendowski, Daniel J; Lumicao, Michelle N et al. (2007) EEG correlates of task engagement and mental workload in vigilance, learning, and memory tasks. Aviat Space Environ Med 78:B231-44