A novel telemetry system for recording EEG in small animals
A novel telemetry system for recording EEG in small animals
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DOI：
10.1016/j.jneumeth.2011.07.018
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发表时间：
2011-09-30
影响因子：
3
通讯作者：
Walker, Matthew C.
中科院分区：
文献类型：
--
作者：
Chang, Pishan;Hashemi, Kevan S.;Walker, Matthew C.
越来越明显的是，连续脑电图监测是必要的，以观察动物癫痫的发展，并确定药物对自发性癫痫发作的影响。遥测记录系统已越来越多地用于监测自由活动动物的EEG。这种系统面临的一个挑战是连续数周监测80 Hz以上的频率。我们提出了一种可植入的，2.4毫升，遥测传感器，可以监测EEG在每秒512个样本，在一个自由移动的动物八周。通过微小的修改，相同的变送器可以以更高的采样率工作，而工作寿命则成比例地减少。信号传输是通过915兆赫无线电功率的突发。突发传输和其他几种新颖的技术将发射机的功耗降低了两个数量级，同时允许8个发射机共享同一个记录系统。射频传输的使用允许传感器内的数字化到16位分辨率，从而消除传输产生的信号噪声。其结果是一个动态范围为9 mV、带宽为160 Hz、输入噪声为12 mu V、交流电源干扰小于1 mu V的信号。所有电路图均为开源电路。数据采集是通过互联网进行的，使用的是可在多种操作系统上运行的开源软件。由此产生的系统允许长期的，连续的，监测EEG信号，因此提供连续和可靠的数据，在此基础上研究癫痫在自由移动的动物。(C)2011爱思唯尔有限公司版权所有。
It has become increasingly evident that continuous EEG monitoring is necessary to observe the development of epilepsy in animals, and to determine the effect of drugs on spontaneous seizures. Telemetric recording systems have been increasingly used to monitor EEG in freely moving animals. One challenge faced by such systems is to monitor frequencies above 80 Hz continuously for weeks. We present an implantable, 2.4-ml, telemetric sensor that can monitor EEG at 512 samples per second for eight weeks in a freely moving animal. With minor modifications, the same transmitter can operate at higher sample rates with a proportional decrease in operating life. Signal transmission is through bursts of 915-MHz radio power. The burst transmission and several other novel techniques reduce the transmitter's power consumption by two orders of magnitude while allowing 8 transmitters to share the same recording system. The use of radio-frequency transmission permits digitization within the sensor to sixteen-bit resolution, thus eliminating transmission-generated signal noise. The result is a signal with dynamic range 9 mV, bandwidth 160 Hz, input noise 12 mu V, and AC power interference less than 1 mu V. All circuit diagrams are open-source. Data acquisition takes place over the Internet using open-source software that works on multiple operating systems. The resulting system permits long-term, continuous, monitoring of EEG signals, therefore providing continuous and reliable data upon which to base studies of epilepsy in freely moving animals. (C) 2011 Elsevier B.V. All rights reserved.