Commercial testing of a physiologically based theory of oscillatory brain electrical activity in anaesthesia monitoring

麻醉监测中振荡脑电活动生理学理论的商业测试

基本信息

  • 批准号:
    nhmrc : 448609
  • 负责人:
  • 金额:
    $ 12.75万
  • 依托单位:
  • 依托单位国家:
    澳大利亚
  • 项目类别:
    NHMRC Development Grants
  • 财政年份:
    2008
  • 资助国家:
    澳大利亚
  • 起止时间:
    2008-01-01 至 2008-12-31
  • 项目状态:
    已结题

项目摘要

While the mechanisms of local anaesthesia are comparatively well known, the mechanisms whereby anaesthetics impair consciousness remain unresolved. This lack of understanding has implications in our ability to monitor the level of anaesthesia while anaesthetic consumption and side effects are minimized. Despite this a number of devices have been developed that attempt to monitor the depth of anaesthesia by quantifying the brains electrical activity. All monitors analyse the activity using a set of criteria that have been developed by trial and error. The research of Dr David Liley and his team, at Swinburne University of Technology, has resulted in a detailed understanding of the physiological mechanisms that generate brain electrical activity. The outcome is a practical means to carry out a System Based Analysis of Brain Electrical Response (SABER). In 2004, Dr Liley began working with Cortical Dynamics, a company involved in the commercialisation of medical devices. This collaboration incorporated the SABER system into a new prototype device called the Brain Anaesthesia Response (BAR) monitor. In 2004 Dr Liley and Associate Professor Kate Leslie collaborated in a trial, at the Royal Melbourne Hospital to test the sensitivity of the SABER system in quantifying the effect that various levels of nitrous oxide have on measures of anaesthetic depth. The Australian and New Zealand College of Anaesthetists supported this study. Initial results obtained with sevoflurane and 3 levels of nitrous oxide showed the ability to differentiate between conscious and unconscious states of patients based on two physiological characterizations of higher brain dynamic state. The next step requires commercial product validation (ie scale up) and further clinical efficacy in testing beta stage depth of anaesthesia BAR units. Completion of this will help the technology move away from a low volume prototype system into a commercially applicable device.
虽然局部麻醉的机制是比较众所周知的,麻醉剂损害意识的机制仍然没有得到解决。这种缺乏了解的影响,在我们的能力,以监测麻醉水平,而麻醉剂的消费和副作用最小化。尽管如此,已经开发了许多设备,试图通过量化脑电活动来监测麻醉的深度。所有监测员都使用一套通过反复试验制定的标准来分析活动。斯威本科技大学的大卫利博士和他的团队的研究已经详细了解了产生脑电活动的生理机制。该结果为开展基于系统的脑电反应分析(SABER)提供了一种实用的手段。2004年,Liley博士开始与Cortical Dynamics公司合作,该公司参与医疗设备的商业化。这项合作将SABER系统整合到一个新的原型设备中,称为脑麻醉反应(BAR)监测器。2004年,Liley博士和副教授Kate Leslie在皇家墨尔本医院合作进行了一项试验,以测试SABER系统在量化不同水平的一氧化二氮对麻醉深度测量的影响方面的灵敏度。澳大利亚和新西兰麻醉师学院支持这项研究。使用七氟烷和3种水平的一氧化二氮获得的初步结果表明,能够根据较高脑动态状态的两种生理特征区分患者的意识和无意识状态。下一步需要商业产品验证(即规模扩大)和进一步的临床疗效测试β阶段麻醉深度BAR单位。这将有助于该技术从小批量原型系统转变为商业上适用的设备。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Prof David Liley其他文献

Prof David Liley的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Prof David Liley', 18)}}的其他基金

Neurobiological computation using self organization
使用自组织的神经生物学计算
  • 批准号:
    DP0879137
  • 财政年份:
    2008
  • 资助金额:
    $ 12.75万
  • 项目类别:
    Discovery Projects
Complexity in a mesoscopic model of brain dynamics
大脑动力学介观模型的复杂性
  • 批准号:
    DP0559949
  • 财政年份:
    2005
  • 资助金额:
    $ 12.75万
  • 项目类别:
    Discovery Projects
Verification of a theoretical model of the dynamical genesis of brain electrical activity
脑电活动动力学发生理论模型的验证
  • 批准号:
    DP0209218
  • 财政年份:
    2002
  • 资助金额:
    $ 12.75万
  • 项目类别:
    Discovery Projects

相似国自然基金

基于质谱贴片的病原菌标志物检测及伤口感染诊断应用
  • 批准号:
    82372148
  • 批准年份:
    2023
  • 资助金额:
    60.00 万元
  • 项目类别:
    面上项目
用多重假设检验方法来研究方差变点问题
  • 批准号:
    10901010
  • 批准年份:
    2009
  • 资助金额:
    16.0 万元
  • 项目类别:
    青年科学基金项目
资本外逃及其逆转:基于中国的理论与实证研究
  • 批准号:
    70603008
  • 批准年份:
    2006
  • 资助金额:
    17.0 万元
  • 项目类别:
    青年科学基金项目

相似海外基金

Triage of Developmental and Reproductive Toxicants using an In vitro to In Vivo Extrapolation (IVIVE)-Toxicokinetic Computational modeling Application
使用体外到体内外推法 (IVIVE) 对发育和生殖毒物进行分类 - 毒代动力学计算模型应用
  • 批准号:
    10757140
  • 财政年份:
    2023
  • 资助金额:
    $ 12.75万
  • 项目类别:
Nanoscale assembly of amyloid oligomers at physiologically relevant conditions
淀粉样蛋白寡聚物在生理相关条件下的纳米级组装
  • 批准号:
    10733250
  • 财政年份:
    2023
  • 资助金额:
    $ 12.75万
  • 项目类别:
Physiologically relevant cardiac tissue culture model for drug testing and disease modeling
用于药物测试和疾病建模的生理相关心脏组织培养模型
  • 批准号:
    10654152
  • 财政年份:
    2023
  • 资助金额:
    $ 12.75万
  • 项目类别:
Using hiPSCs to develop physiologically-relevant outer retina tissue mimetics
使用 hiPSC 开发生理相关的外视网膜组织模拟物
  • 批准号:
    10467753
  • 财政年份:
    2022
  • 资助金额:
    $ 12.75万
  • 项目类别:
PFI-TT: Development of an Automated Cell Culturing Platform for Highly Efficient and Reliable Drug Testing in Physiologically Representative Disease Models
PFI-TT:开发自动化细胞培养平台,在生理代表性疾病模型中进行高效可靠的药物测试
  • 批准号:
    2141029
  • 财政年份:
    2022
  • 资助金额:
    $ 12.75万
  • 项目类别:
    Standard Grant
Novel physiologically-driven phenotypes for the prognosis of cardiovascular outcomes in sleep apnea: Toward precision medicine in sleep health
用于睡眠呼吸暂停心血管结局预后的新型生理驱动表型:迈向睡眠健康的精准医学
  • 批准号:
    10577765
  • 财政年份:
    2022
  • 资助金额:
    $ 12.75万
  • 项目类别:
Development of the AI-driven model for anti-SUD drug development based on neuronal plasticity
基于神经元可塑性的人工智能驱动抗SUD药物开发模型的开发
  • 批准号:
    10467528
  • 财政年份:
    2022
  • 资助金额:
    $ 12.75万
  • 项目类别:
A physiologically relevant pre-clinical drug screening platform for Alzheimer's Disease and Traumatic Brain Injury with integrated stretchable microelectrodes
具有集成可拉伸微电极的针对阿尔茨海默病和创伤性脑损伤的生理相关临床前药物筛选平台
  • 批准号:
    10482284
  • 财政年份:
    2022
  • 资助金额:
    $ 12.75万
  • 项目类别:
Using hiPSCs to develop physiologically-relevant outer retina tissue mimetics
使用 hiPSC 开发生理相关的外视网膜组织模拟物
  • 批准号:
    10709483
  • 财政年份:
    2022
  • 资助金额:
    $ 12.75万
  • 项目类别:
Investigation of Drug-Drug and Drug-Circuit Interactions in Children on Continuous Renal Replacement Therapy
儿童连续肾脏替代治疗药物-药物和药物-回路相互作用的调查
  • 批准号:
    10649452
  • 财政年份:
    2022
  • 资助金额:
    $ 12.75万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了