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Recently, information technology and microelectronics have enabled implanting miniature and highly intelligent devices within the brain for in-vitro diagnostic and therapeutic functions. Power and physical size constraints of these devices necessitate novel signal processing methods. In this paper we investigate an effective data acquisition and reconstruction method for brain implants based on asynchronous...
Entropy based on the wavelet transform reflects the degree of order/disorder of the signals. It can provide additional information about the underlying dynamical process associated with the signal. Our aim was to demonstrate the applicability of wavelet entropy measures to analysis of neural firing of normal rats and temporal lobe epilepsy (TLE) rats. TLE neurons occurred at lower total wavelet entropy...
In this paper, we propose a power efficient communication system for linking a brain-implantable device to an external system. For battery powered implantable devices, the processor and the transmitter power should be reduced in order to both conserve battery power and reduce the health risks associated with transmission. To accomplish this, a joint source-channel coding/decoding system is devised...
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