Multichannel datalogger for chronic neural recording

描述（由申请人提供）本提案的目标是继续 开发一种小型、轻量的可编程电池操作处理器， 它可以检测神经动作电位（尖峰）， 问题研究我们建议开发两种新设备：16通道处理器和 4-通道小型化处理器。我们亦建议发展无线网络 在处理器和传感器之间， 传感器和麦克风。16通道装置将允许慢性多通道 记录来自无拘无束的动物，并开辟了新的研究途径， 行为自由的动物的神经功能。微型装置将允许 小动物，如老鼠。全面的软件包 用于对处理器进行编程，下载和分析尖峰数据， 还将开发连续数据。最后，设备和传感器将 在龙虾中进行测试，以测试其在自由行为下使用的能力， 条件 这些设备也将是有用的连续记录低数据率 信号，例如场电位、ECG、EEG、EMG，因此可用于 研究人员和临床医生。它们也将有助于发展 神经修复术，其中定制的数字信号处理电路可以 在处理器上编程和测试。 拟定商业应用： 本计画拟发展一种侦测及记录神经动作电位的处理器 并记录缓慢的生物电信号，如EEG，EMG和ECG， 动物用于研究应用。 这种处理器有广泛的应用， 为研究和临床市场记录这些信号。 该设备还将 可用作神经假体的研究工具（例如，在控制机器人手臂时， 神经活动和处理用于耳蜗植入物的信号）。 也有许多临床 例如数字霍尔特（心脏）监测器，用于记录和检测不规则心跳。

DESCRIPTION (provided by applicant) The goal of this proposal is to continue development of a small, lightweight programmable battery operated processor, which can detect neural action potentials (spikes) for chronic recording studies. We propose to develop two new devices: a 16-channel processor and a 4-channel miniaturized processor. We also propose to develop a wireless network between the processors and sensors including, accelerometers, temperature sensors, and microphones. The 16-channel device will allow chronic multichannel recordings from unrestrained animals and open up new avenues of research in neural function in freely behaving animals. The miniature device will allow recordings from small animals, such as rats. A comprehensive software package for programming the processor, downloading and analyzing spike data and continuous data will also be developed. Finally, the devices and sensors will be tested in the lobster to test its ability to be used under freely behaving conditions. These devcies will also be useful for continuous recordings of low data rate signals, such as field potentials, ECG's, EEG's, EMG's and thus be useful to both researchers and clinicians. They will also be useful for the development of neural prosthetics, where custom digital signal processing circuits can be programmed and tested on the processor. PROPOSED COMMERCIAL APPLICATION: The proposed project is to develop a processor to detect and record neural action potentials and record slow bioelectric signals such as EEGs, EMGs, and ECGs from unrestrained animals for research applications. There are broad applications for such a processor for recording these signals for both research and clinical markets. The device will also be useful as a research tool for neural prostheses (e.g. in controlling robotic arms based on neural activity and processing signals for cochlear implants). There are also many clinical applications, such as a digital Holter (heart) monitor to record and detect irregular heart beats.