Drowsiness Detection: Effects of Feedback Based on EEG

睡意检测：基于脑电图的反馈效果

• 批准号: 6403885
• 负责人: Daniel J Levendowski
• 金额: $ 10万
• 依托单位: ADVANCED BRAIN MONITORING, INC.
• 依托单位国家: 美国
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-07-18 至 2002-07-17
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6403885
• 关键词: attention; bioengineering /biomedical engineering; biofeedback; biomedical equipment development; computer program /software; electroencephalography; fatigue; human subject; monitoring device; sleep deprivation; wakefulness

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.

描述：（由申请人提供）疲劳管理是一个关键的公众 当今24小时社会的健康问题。疲劳相关事故减少 美国每年因生产力而损失超过 770 亿美元。有能力客观地、 当个人参与活动时，实时可靠地监测疲劳程度 正常的日常活动将显着提高安全性，增加 生产力并拯救生命。在第一阶段，提供的有效性 基于脑电图指数的实时反馈睡意，减少影响 将调查睡眠不足引起的疲劳的情况。主观和 当受试者执行任务时，将获得客观的睡意测量值 警觉性、记忆力和驾驶模拟器任务。口头信息和警告 当脑电图识别出困倦指数时，将发出警报 公司的 B-Alert 软件可对连续的每秒脑电图进行分类 从警觉到入睡。反馈效应的持续时间和幅度 对表现的影响以及对困倦的感知影响将被量化。 受试者预测睡眠开始的能力也将在之前进行测量 并在反馈会议后确定系统是否具有实用性 训练装置。可靠的基于脑电图的睡意检测设备将是 一旦建立了反馈标准就完成了。 拟议的商业应用： 睡意检测装置将向航空公司飞行员、卡车/公共汽车的雇主销售 司机、铁路操作员和其他处于安全敏感岗位的轮班工人。 这 该系统还具有作为训练装置的实用性，以增加对睡意的主观意识。 该系统的医疗应用包括持续监测患者的警觉性 睡眠障碍的治疗结果评估和药物评价 引起白天嗜睡的药物。