非侵入式同步空间高分辨率无线体域网络

U. Ghoshdastider, R. Viga, Michael Kraft
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引用次数: 6

摘要

由脑电图、心电图、肌电图和加速度传感器组成的无线身体传感器网络为认知生理学、临床研究以及神经生理学的研究人员提供了帮助。将面部肌肉、心脏、大脑等肌肉结构的电活动数据与患者的运动数据融合,有助于在家庭护理应用中检测夜间癫痫发作。设计并实现了一种具有无线数据传输和有线时间同步技术的移动、灵活、密集配置的分布式体域网络,并根据各传感器系统的信号强度和频率带宽对其进行信号调理。此外,每个节点之间的同步是在有线USART(通用同步/异步接收器/发射器)的帮助下实现的。所有测量单位都遵循相同的同步协议,该协议由一个主单元控制。exg系统可以在125 Hz至1000 Hz范围内采集生物电位,在0.1 Hz至500 Hz范围内显示1.445 μν的峰间系统噪声,并且可以将内置Wi-Fi模块的数据以1.45 Mbps的最大数据速度发送到基站。在完整的256通道部署期间,高密度EEG可以实现3-4 cm的空间分辨率。
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Non-invasive synchronized spatially high-resolution wireless body area network
Wireless body sensor networks consisting of EEG, ECG, EMG and acceleration sensors provide assistance to the researchers in cognitive physiology and clinical research as well as in neurophysiology. The data fusion of the electrical activities of muscle structures, e.g. facial muscles, heart and brain combined with the movement data of patients helps to detect nocturnal epileptic seizure in home care application. A mobile, flexible, densely configurable distributed body area network featuring wireless data transmission and a wired time synchronization technique was designed and realized in this work Signal conditioning of each of sensor systems was realized depending on their signal strength and frequency bandwidth. Moreover, synchronization between each of the nodes was achieved with the help of wired USART (universal synchronous/asynchronous receiver/transmitter). All measurement units follow the same synchronization protocol, which is controlled by a master unit. The ExG-system can sample bio-potentials from 125 Hz up to 1000 Hz and it exhibits 1.445 μν peak-to-peak system noise between 0.1 Hz and 500 Hz and can send data with incorporated Wi-Fi module in it to a basis station at a maximum data speed of 1.45 Mbps. A 3-4 cm spatial resolution can be achieved for high-dense EEG during a complete 256 channel deployment.
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