刺激人工物去除:在唤起反应中的应用的审查和评估
Tianshu Zhang1, Kiaran Lawson1, Wee-Lih Lee2,3
1Deep Brain Stimulation Technologies Pty Ltd, East Melbourne, Australia.
Journal of neural engineering
|December 2, 2024
概括
倒向波器有效地消除了唤起共振神经活动 (ERNA) 记录中的深度大脑刺激 (DBS) 工件. 其他方法会扭曲神经信号,这使得反向波器成为DBS文物衰减的推选择.
科学领域:
- 神经科学是一个神经科学.
- 生物医学工程 生物医学工程
- 信号处理 信号处理
背景情况:
- 深度大脑刺激 (DBS) 是一种治疗干预,需要精确的神经记录.
- DBS录音中的刺激工件隐藏了神经活动,特别是唤起的共振神经活动 (ERNA).
- 需要有效的软件方法来删除这些文物而不扭曲ERNA.
研究的目的:
- 评估和比较各种软件方法来减弱DBS录音中的刺激工件.
- 评估人工物移除技术在合成ERNA波形和真实DBS录音上的性能.
- 为了确定最优的方法,以保持ERNA特征,同时去除刺激工件.
主要方法:
- 14个算法被分为信号修改,信号分解和模板减法.
- 使用合成地面真实ERNA波形和八个原始DBS录音来评估性能.
- 文物量化包括振幅和衰变时间;ERNA的特点是振幅,延迟和零交叉.
主要成果:
- 没有一种单一的方法在整体性能上超过了向后过器.
- 信号分解技术减少了文物,但导致了不可接受的ERNA扭曲.
- 倒向波器显示出优异的工件减弱, ERNA 扭曲最小.
结论:
- 倒向波器是DBS文物减弱的最有效的软件方法.
- 由于ERNA的显著扭曲,不建议使用信号分解方法.
- 倒向波器使得在存在DBS文物时能够准确地重建ERNA.
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