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: 7881419
• 负责人: Stephane Bibian
• 金额: $ 74.45万
• 依托单位: NEUROWAVE SYSTEMS, 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 2012-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7881419
• 关键词: Accident and Emergency department; Acute; Adult; Affect; Agreement; Algorithms; Anesthesia procedures; Body Surface; Brain; Brain Death; Brain Injuries; Cardiac; Caring; Chemicals; Child; Classification; Clinic; Clinical; Communication Board; Computer Systems Development; Computer software; Conscious; Contracts; Data; Data Storage and Retrieval; Decision Making; Detection; Development; Devices; Electric Countershock; Electrodes; Electroencephalography; Emergency Care; Emergency Situation; Environment; Evaluation; Excision; Frequencies; Functional disorder; Gel; Goals; Grant; Head; Health care facility; Individual; Intermediate Variables; Legal patent; Life; Medical Staff; Memory; Methods; Military Personnel; Monitor; Morphologic artifacts; Motor Seizures; National Institute of Neurological Disorders and Stroke; Neurological emergencies; Neurologist; Neurology; Non-Convulsive Status Epilepticus; Operative Surgical Procedures; Organism; Outcome; Output; Overdose; Patients; Performance; Phase; Population; Preparation; Procedures; Process; Production; Prospective Studies; Provider; Resolution; Seizures; Sensitivity and Specificity; Shapes; Side; Signal Transduction; Simulate; Skin; Small Business Innovation Research Grant; Solutions; Staging; Symptoms; System; Techniques; Technology; Testing; Time; Training; United States National Institutes of Health; University Hospitals; Update; Wireless Technology; Work; analog; awake; base; commercialization; computerized data processing; conditioning; cost; design; detector; digital; electric impedance; emergency service responder; feeding; flexibility; improved; indexing; information processing; laptop; mental state; miniaturize; nerve agent; nerve gas; neuropathology; novel; operation; prevent; prospective; prototype; research clinical testing; response; sensor; voltage

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）：该快速通道 SBIR 提案的总体目标是为大规模伤亡情况下的普通平民开发一种便携式、低成本、可现场部署、基于脑电图的自动癫痫检测仪和脑功能障碍监测仪。预计该系统将用作快速和积极的癫痫发作管理的重要组成部分，这对于改善恐怖袭击中神经毒剂暴露引起的神经病理学至关重要。该系统的开发将基于我们几项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、强大的术中意识监视器，可在需要的手术过程中实时跟踪患者的皮质活动。麻醉。癫痫发作检测算法将利用我们与 NIH 和 ARMY 正在进行的项目，我们正在开发一类新型癫痫发作识别算法，可以在标准笔记本电脑上实时运行。通过结合 NINDS 目前支持的新颖的伪影识别和去除算法，系统的稳健性将得到增强。第一阶段将开发一种坚固耐用、便携式、可现场部署的癫痫检测器，由一个 8 通道 EEG 设备组成，该设备连接到笔记本电脑，执行癫痫检测，并以图形格式显示癫痫状态。第二阶段将进一步小型化脑电图患者单元，该单元还将包含机载数据处理能力（DSP）和一个实时显示癫痫状态的附加屏幕。该装置还将包含数据存储和无线功能，使其能够与中央站通信，该中央站可以同时监控多个患者装置。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估。特别是，第二阶段系统将在克利夫兰诊所和克利夫兰大学医院这两个主要医疗机构的急诊科 (ED) 进行测试，总共有 255 名已入住急诊科且需要治疗的患者。紧急脑电图检查。该项目将开发便携式、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仪，面向大规模伤亡情况下的普通平民。预计该系统将用作快速和积极的癫痫发作管理的重要组成部分，这对于改善恐怖袭击中神经毒剂暴露引起的神经病理学至关重要。同样的技术也适用于战场上遭受神经毒气攻击的军事人员的脑电图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，特别是对于精神状态改变的患者以及怀疑患有非惊厥性癫痫发作和脑功能障碍的患者。