Abstract
Recent advances in modern neurocomputing heading toward promising clinical applications of implantable neuronal sensing devices have shown the utmost necessity of wireless communication systems that allow real-time monitoring of neural signals. The design of a wireless transmission system for this particular application shall meet several requirements involving source compression of the high data rate neural recording, communication with a standard device as bridge between body area and remote server, and high fidelity of the received signal to ensure effective brain activity monitoring. A wireless transmission system over Bluetooth and 3G is analyzed for its application to the real-time transmission of neural signals captured by implanted micro-electrode array sensors. Average compression rate of 75% of the neural signal is achieved through detection using nonlinear energy operator preprocessing and automatic threshold adaptation. The wireless transmission of these signals integrates a Bluetooth transmission from the information source to a conventional mobile device and then over 3G to a remote server, without intermediate storage on the mobile phone. Reconstruction of the coded neural signal provides the input to high-performance spike classification algorithm allowing the tracking of individual neuron spiking patterns.
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Tarín, C., Traver, L., Martí, P., Cardona, N. (2009). Wireless Communication Systems from the Perspective of Implantable Sensor Networks for Neural Signal Monitoring. In: Powell, S., Shim, J. (eds) Wireless Technology. Lecture Notes in Electrical Engineering, vol 44. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-71787-6_12
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