Automated intraoperative monitoring of facial nerve function

术中自动监测面神经功能

基本信息

  • 批准号:
    415584518
  • 负责人:
  • 金额:
    --
  • 依托单位:
  • 依托单位国家:
    德国
  • 项目类别:
    Research Grants (Transfer Project)
  • 财政年份:
    2019
  • 资助国家:
    德国
  • 起止时间:
    2018-12-31 至 2023-12-31
  • 项目状态:
    已结题

项目摘要

Aim of the submitted knowledge transfer study is the implementation of a prototype for the automated detection of pathological A-train activity in the electromyographic activity of the facial muscles. Evaluation of these patterns enables the intraoperative detection of potential nerve damage and consequently avoiding postoperative facial palsy. The method has been developed in the preceding DFG-funded project. Implementation of the prototype will be conducted in collaboration with inomed GmbH as industry partner.In a first stage, a testing platform will be implemented, allowing testing and validation of the components and composite system developed during the project. Datasets of more than 100 patients are available, who underwent surgery for vestibular schwannoma in the previous project. The data contain A-train patterns in different quantities; pre- and postoperative degree of facial palsy was evaluated and documented in a consistent manner. On this basis, the detection method will be reimplemented and optimized. In parallel, data are recorded using the hardware, which will be utilized by the prototype. Analysis of this data and comparison with the test platform enables further hardware-specific adaptations of the procedure. A first prototype will then be implemented, which can be evaluated intraoperatively, simultaneous with routine recordings. Finally, the resulting prototype will be implemented in compliance with CE standards.Following the project, further development of the prototype into a fully certified medical device and market-ready product is planned. This will also enable a multi-center study on A-train monitoring during surgery in the cerebello-pontine angle.
提交的知识转移研究的目的是实现自动检测面部肌肉肌电活动中病理性A-列车活动的原型。这些模式的评估,使术中检测潜在的神经损伤,从而避免术后面瘫。该方法已在之前DFG资助的项目中开发。原型的实施将与inomed GmbH作为行业合作伙伴合作进行。在第一阶段,将实施测试平台,以便对项目期间开发的组件和复合系统进行测试和验证。有100多名患者的数据集可用,他们在以前的项目中接受了前庭神经鞘瘤手术。数据包含不同数量的A-序列模式;以一致的方式评价和记录术前和术后面瘫程度。在此基础上,对检测方法进行重新实现和优化。与此同时,使用硬件记录数据,原型将使用这些数据。对这些数据的分析以及与测试平台的比较使得能够对该过程进行进一步的硬件特定的调整。然后将实施第一个原型,可以在术中进行评估,同时进行常规记录。最后,将按照CE标准实施由此产生的原型。在该项目之后,计划将原型进一步开发为完全认证的医疗器械和市场就绪的产品。这也将使一项多中心研究的A-列车监测手术期间在小脑脑桥角。

项目成果

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Privatdozent Dr. Stefan Rampp其他文献

Privatdozent Dr. Stefan Rampp的其他文献

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{{ truncateString('Privatdozent Dr. Stefan Rampp', 18)}}的其他基金

Reconstruction of epilepsy-characteristic sources by means of a simultaneous evaluation of EEG- and MEG- data using calibrated realistic head models
通过使用校准的真实头部模型同时评估 EEG 和 MEG 数据来重建癫痫特征源
  • 批准号:
    287223832
  • 财政年份:
    2016
  • 资助金额:
    --
  • 项目类别:
    Research Grants

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