MULTICHANNEL SENSORY NEUROPHYSIOLOGY SYSTEM

多通道感觉神经生理学系统

• 批准号: 6310277
• 负责人: TIMOTHY J TUCKER
• 金额: $ 10万
• 依托单位: TUCKER-DAVIS TECHNOLOGIES, INC.
• 依托单位国家: 美国
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-07-01 至 2001-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6310277
• 关键词: action potentials; biomedical equipment development; computer graphics /printing; computer human interaction; computer program /software; computer system design /evaluation; electrodes; electrophysiology; neurophysiology; sensory mechanism

DESCRIPTION (Applicant's abstract): The goal of this proposal is to develop a working framework for a multichannel data acquisition and stimulus presentation package for single-unit neurophysiology. In Phase I we will develop spike-sorting algorithms capable of discriminating action potentials from multiple neurons per each electrode, incorporating information across channels to improve the discrimination ability of the algorithm. Real-time discrimination would obviate the need for post-processing the data from high channel count systems, improving the ability to make experimental decisions during the course of the experiment. We will also develop a graphical display and interface designed to condense the inherently complex data sets that are acquired simultaneously from many single-units across many electrodes and stimulus parameters. The combination of stimulus control with multichannel acquisition will similarly improve data visualization. PROPOSED COMMERCIAL APPLICATION: The proposed project is to test the feasibility of developing a high channel count system for neurophysiology research. The commercial application of this product is most directly for the scientific research market in multichannel neurophysiology. It could be adapted for other clinical systems that require high channel counts, such as EEG systems.

描述（申请人的摘要）：该提案的目标是 开发多通道数据采集和刺激的工作框架 单单元神经生理学演示包。在第一阶段，我们将 开发能够区分动作电位的尖峰排序算法 来自每个电极的多个神经元，整合跨区域的信息 通道来提高算法的判别能力。即时的 歧视将消除对来自高水平的数据进行后处理的需要 通道计数系统，提高做出实验决策的能力 在实验过程中。我们还将开发图形显示 和界面旨在压缩本质上复杂的数据集 从许多电极上的许多单个单元同时获取 刺激参数。刺激控制与多通道的结合 采集同样会改善数据可视化。 拟议的商业应用： 拟议项目是测试开发高通道数系统的可行性 用于神经生理学研究。 该产品的商业应用最直接 面向多通道神经生理学的科学研究市场。 可以进行调整 适用于需要高通道数的其他临床系统，例如脑电图系统。