Real-time adaptive discrimination threshold estimation for embedded neural signals detection
Real-time adaptive discrimination threshold estimation for embedded neural signals detection
复制标题
用于嵌入式神经信号检测的实时自适应辨别阈值估计
DOI：
10.1109/ner.2009.5109367
复制
发表时间：
2009
期刊：
影响因子：
--
通讯作者：
R. Guillemaud
中科院分区：
文献类型：
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作者：
J. Beche;S. Bonnet;T. Levi;R. Escolá;A. Noca;G. Charvet;R. Guillemaud
在神经学应用中使用的多电极阵列系统由于在大量通道上同时连续高速采样而产生大量数据。必须减少这种数据流，以设想用于身体植入的具有无线传输的紧凑型数据采集系统。在尖峰相关的应用中，有用的数据是稀疏的，由于相对较低的神经元放电率结合高采样率。通过检测、提取和存储仅相关尖峰出现，可以实现高压缩比。第一步是根据噪声分布的特性提供一个简单而稳健的鉴别阈值。本文提出了一种自适应锋电位检测的方法及其硬件实现。
Multi-electrode array systems used in neurological applications produce large amount of data because of the simultaneous continuous high-rate sampling on a large number of channels. This data flow must be reduced to envision compact data acquisition systems with wireless transmission for body implantation. In spike-related applications, the useful data is sparse due to the relative low neurons firing rate combined to the high sampling rate. High compression ratio can be achieved by detecting, extracting and storing only the relevant spike occurrences. The first step is to provide a simple yet robust discrimination threshold based on the characteristics of the noise distribution. This article presents both a method and its hardware implementation for adaptive spike detection.
DOI：
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发表时间：
1998-12
期刊：
Laboratory investigation; a journal of technical methods and pathology
影响因子：
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作者：
T. Seese;H. Harasaki;G. Saidel;C. Davies
通讯作者：
T. Seese;H. Harasaki;G. Saidel;C. Davies