A TinyOS-Based Wireless Neural Sensing, Archiving, and Hosting System

Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005. Pub Date : 2005-03-16 DOI:10.1109/CNE.2005.1419714

S. Farshchi, P. Nuyujukian, A. Pesterev, I. Módy, J. Judy

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引用次数: 25

Abstract

We have designed and tested a comprehensive wireless neural recording system. The system amplifies, digitally encodes, transmits, archives, hosts, and displays multiple channels of neural recordings from any number of un-tethered test subjects. The neural transmitter and receiver are modified TinyOS-based MICAz wireless sensor nodes that can sample, transmit, and receive neural data real-time at a rate of 44.8 kbps while consuming less than 100 mW of power. This data rate can be divided for recording on up to eight channels, with a resolution of up to 10 bits per sample. An archive server records the neural signals received by the Ethernet-based gateway receivers, and hosts them to browser-based clients over the Internet. This work demonstrates the viability of the TinyOS-based sensor technology as a foundation for chronic remote biological monitoring applications, and demonstrated a system architecture that can actively leverage advancements in distributed sensing, networking, and communications technologies

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基于tinos的无线神经传感、存档和托管系统

我们设计并测试了一个全面的无线神经记录系统。该系统放大、数字编码、传输、存档、托管和显示来自任意数量的非拴测试对象的多个通道的神经记录。神经发射器和接收器采用改良的基于tinos的MICAz无线传感器节点，可以以44.8 kbps的速率实时采样、传输和接收神经数据，同时消耗的功率小于100 mW。该数据速率可分为8个通道记录，每个采样的分辨率高达10位。存档服务器记录基于以太网的网关接收器接收到的神经信号，并通过Internet将其托管给基于浏览器的客户端。这项工作证明了基于tinos的传感器技术作为长期远程生物监测应用基础的可行性，并展示了一种可以积极利用分布式传感、网络和通信技术进步的系统架构

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来源期刊

Conference Proceedings. 2nd International IEEE EMBS Conference on Neural Engineering, 2005.

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