Field Deployable, Automatic, EEG Seizure Detector and Brain Dysfunction Monitor

现场可部署、自动、EEG 癫痫检测器和脑功能障碍监测器

• 批准号: 7294881
• 负责人: MO MODARRES
• 金额: $ 28.28万
• 依托单位: CLEVELAND MEDICAL DEVICES, INC.
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-09-30 至 2011-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7294881
• 关键词: Accident and Emergency department; Algorithms; Anesthesia procedures; Brain; Caring; Class; Clinic; Computer Systems Development; Condition; Conscious; Data Storage and Retrieval; Detection; Devices; Electroencephalography; Emergency Situation; Excision; Functional disorder; Goals; Health care facility; Military Personnel; Monitor; Morphologic artifacts; Motor Seizures; Operative Surgical Procedures; Patients; Phase; Population; Psyche structure; Seizures; Simulate; Small Business Funding Mechanisms; Small Business Innovation Research Grant; Staging; Standards of Weights and Measures; System; Technology; Testing; Time; United States National Institutes of Health; University Hospitals; Wireless Technology; base; computerized data processing; cost; detector; laptop; miniaturize; nerve agent; nerve gas; neuropathology; novel; prototype; research clinical testing

DESCRIPTION (provided by applicant): The overall goal of this Fast-Track SBIR proposal is to develop a portable, low-cost, field-deployable, automatic EEG-based seizure detector and brain dysfunction monitor for general civilian population under mass casualty conditions. It is envisioned that this system will be used as an essential component of rapid and aggressive management of seizures, crucial to ameliorate neuropathology caused by nerve agent exposure in a terrorist attack. The development of this system will be based on further enhancement and integration of our several highly relevant technologies, including a commercial-grade portable, low cost, and robust intra-operative consciousness monitor that tracks patient's cortical activity in real-time during surgical procedures requiring anesthesia. The seizure detection algorithms will take advantage of our ongoing projects with the NIH and the ARMY where we are developing a novel class of seizure identification algorithms that can operate in real-time on a standard laptop. The robustness of the system will be enhanced by incorporating our novel artifact identification and removal algorithms currently supported by NINDS. The Phase I stage will develop a rugged, portable, field-deployable, seizure detector comprising of an 8- channel EEG device that is attached to a laptop that performs seizure detection and will display the seizure status in graphical format. Phase II will further miniaturize the EEG patient unit which will also contain an onboard data processing capability (DSP) and an attached screen that will display seizure status in real-time. The unit will also contain data storage and a wireless capability allowing it to communicate with a centralized station that can monitor several of these patient units simultaneously. The developed prototypes at the end of each Phase will undergo extensive simulated and actual clinical evaluations. In particular, The Phase II system will be tested in the Emergency Departments (ED) of two major health facilities, The Cleveland Clinic and University Hospitals of Cleveland, with a combined 255 patients who have been admitted to the ED and who are in need of an emergency EEG examination. The portable, low-cost, field-deployable, automatic EEG-based seizure detector and brain dysfunction monitor to be developed under this project is aimed for general civilian population under mass casualty conditions. It is envisioned that this system will be used as an essential component of rapid and aggressive management of seizures, crucial to ameliorate neuropathology caused by nerve agent exposure in a terrorist attack. The same technology is also applicable for EEG monitoring and seizure detection of military personnel subjected to a nerve gas attack in the battlefield. Finally, the developed system can be eventually become part of the general care in the Emergency Department and particularly in patients with altered mental status and those suspicious of having non-convulsive seizures and brain dysfunction.

描述（由申请人提供）：本快速通道SBIR提案的总体目标是开发一种便携式、低成本、可现场部署、基于EEG的自动癫痫发作检测器和脑功能障碍监测器，用于大规模伤亡情况下的普通平民。据设想，该系统将被用作癫痫发作的快速和积极的管理，关键是改善神经毒剂暴露在恐怖袭击所造成的神经病理学的一个重要组成部分。该系统的开发将基于我们几种高度相关技术的进一步增强和集成，包括商业级便携式、低成本和强大的术中意识监测器，该监测器在需要麻醉的外科手术期间实时跟踪患者的皮层活动。癫痫发作检测算法将利用我们与NIH和陆军正在进行的项目，我们正在开发一种新型的癫痫发作识别算法，可以在标准笔记本电脑上实时操作。系统的鲁棒性将通过结合我们目前支持的NINDS新的伪影识别和去除算法来增强。第一阶段将开发一种坚固、便携、可现场部署的癫痫发作检测器，包括一个8通道EEG设备，该设备连接到一台笔记本电脑上，可执行癫痫发作检测，并以图形格式显示癫痫发作状态。第二阶段将进一步简化EEG患者单元，该单元还将包含板载数据处理能力（DSP）和附加屏幕，该屏幕将实时显示癫痫发作状态。该单元还将包含数据存储和无线功能，使其能够与一个中央站进行通信，该中央站可以同时监测多个患者单元。每个阶段结束时开发的原型将接受广泛的模拟和实际临床评价。特别是，第二阶段系统将在两个主要卫生机构的急诊科（艾德）进行测试，克利夫兰诊所和克利夫兰大学医院，共有255名患者已被收住艾德，需要进行紧急脑电图检查。在该项目下开发的便携式、低成本、可现场部署、基于脑电图的自动癫痫发作探测器和脑功能障碍监测器的目标是在大规模伤亡情况下的普通平民。据设想，该系统将被用作癫痫发作的快速和积极的管理，关键是改善神经毒剂暴露在恐怖袭击所造成的神经病理学的一个重要组成部分。同样的技术也适用于在战场上遭受神经毒气攻击的军事人员的EEG监测和癫痫发作检测。最后，开发的系统最终可以成为急诊科一般护理的一部分，特别是在精神状态改变的患者和那些怀疑有非惊厥性癫痫发作和脑功能障碍的患者中。