STROKE MONITORING WITH DENSE-ARRAY EEG

使用密集阵列脑电图进行中风监测

基本信息

  • 批准号:
    6152993
  • 负责人:
  • 金额:
    $ 11.89万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2000
  • 资助国家:
    美国
  • 起止时间:
    2000-08-16 至 2001-02-15
  • 项目状态:
    已结题

项目摘要

The recent use of thrombolytic drugs to effectively treat ischemic stroke marks a milestone in the campaign against this common neurological disease. Although a significant advancement, this treatment is not suitable for all patients, such as those who are experiencing a hemorrhagic stroke or those receiving treatment more than three hours after stroke onset. Hospital staff can use computed tomography (CT) scans to easily rule out hemorrhages. More difficult, however, is estimating the therapeutic window of time. Late treatment still brings the hemorrhagic risk of thrombolytic treatment, but it faces an increasingly uncertain state of the neural tissue. A rapid, inexpensive, and noninvasive cerebral monitoring technique could help hospital staff to determine neural-tissue state as well as to assess the effectiveness of thrombolytic treatment. In this Phase I project, we will use dense-array electroencephalography (EEG) to collect near-continuous, stroke-related EEG so that we can evaluate the ongoing pathophysiological evolution of the ischemic tissue. Spectral and coherence analyses of the raw EEG data will enable us to characterize EEG changes in these records. The results from this work will go toward the development of a rapid, inexpensive, noninvasive, accurate stroke-monitoring device based on dense-array EEG. PROPOSED COMMERCIAL APPLICATIONS: EEG is highly sensitive to stroke-related pathophysiology. Its use in surgical monitoring is well known; however, its potential as a practical, inexpensive stroke-monitoring technology heretofore has been overlooked. If we can demonstrate that stroke-related EEG changes can help inform treatment decisions, every hospital and clinic treating acute stroke would require this monitoring system -an obviously lucrative prospect, with a worldwide market potential approaching $1 billion.
最近使用溶栓药物有效治疗缺血性中风标志着对抗这种常见神经系统疾病运动的一个里程碑。尽管这是一项重大进步,但这种治疗方法并不适用于所有患者,例如那些正在经历出血性中风或在中风发作后3小时以上接受治疗的患者。医院工作人员可以使用计算机断层扫描(CT)轻松排除出血。然而,更困难的是估计治疗的时间窗口。晚期治疗仍带来溶栓治疗的出血风险,但其面临的神经组织状态越来越不确定。一种快速、廉价、无创的脑监测技术可以帮助医院工作人员确定神经组织状态,并评估溶栓治疗的有效性。在这个一期项目中,我们将使用密集阵列脑电图(EEG)收集近连续的脑卒中相关脑电图,以便我们评估缺血组织正在进行的病理生理进化。原始脑电图数据的频谱和相干性分析将使我们能够表征这些记录中的脑电图变化。这项工作的结果将有助于开发一种基于密集阵列脑电图的快速、廉价、无创、准确的中风监测设备。建议的商业应用:脑电图对中风相关的病理生理非常敏感。它在外科监测中的应用是众所周知的;然而,到目前为止,它作为一种实用的、廉价的脑卒中监测技术的潜力一直被忽视。如果我们能够证明与中风相关的脑电图变化可以帮助决定治疗方案,那么治疗急性中风的每家医院和诊所都将需要这种监测系统——这显然是一个有利可图的前景,全球市场潜力接近10亿美元。

项目成果

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PHAN LUU其他文献

PHAN LUU的其他文献

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{{ truncateString('PHAN LUU', 18)}}的其他基金

Sourcerer IC: A Web-Based Integrative Multi-Modal Workflow for Epilepsy Surgical Planning
Sourcerer IC:基于网络的癫痫手术计划综合多模式工作流程
  • 批准号:
    10379723
  • 财政年份:
    2022
  • 资助金额:
    $ 11.89万
  • 项目类别:
Sourcerer IC: A Web-Based Integrative Multi-Modal Workflow for Epilepsy Surgical Planning
Sourcerer IC:基于网络的癫痫手术计划综合多模式工作流程
  • 批准号:
    10710319
  • 财政年份:
    2022
  • 资助金额:
    $ 11.89万
  • 项目类别:
Multimodal Image Analysis Software for Epilepsy
癫痫多模态图像分析软件
  • 批准号:
    9197397
  • 财政年份:
    2016
  • 资助金额:
    $ 11.89万
  • 项目类别:
Context Violation in Depression
抑郁症中的语境违规
  • 批准号:
    6969600
  • 财政年份:
    2005
  • 资助金额:
    $ 11.89万
  • 项目类别:
Context Violation in Depression
抑郁症中的语境违规
  • 批准号:
    7278701
  • 财政年份:
    2005
  • 资助金额:
    $ 11.89万
  • 项目类别:
Context Violation in Depression
抑郁症中的语境违规
  • 批准号:
    7115926
  • 财政年份:
    2005
  • 资助金额:
    $ 11.89万
  • 项目类别:
Electro-Active Physiological Interface
电活性生理接口
  • 批准号:
    7089123
  • 财政年份:
    2003
  • 资助金额:
    $ 11.89万
  • 项目类别:
Electro-Active Physiological Interface
电活性生理接口
  • 批准号:
    6935649
  • 财政年份:
    2003
  • 资助金额:
    $ 11.89万
  • 项目类别:
Electro-Active Physiological Interface
电活性生理接口
  • 批准号:
    6735239
  • 财政年份:
    2003
  • 资助金额:
    $ 11.89万
  • 项目类别:
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