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An evaluation of the effectiveness of logarithmic quantization for neural signals is performed in this paper. Logarithmic analog to digital converters (ADCs) are employed in biomedical applications where signals with high dynamic range are recorded. For the same number of bits of a linear ADC, a logarithmic one can better resolve smaller signals, at a price of worse accuracy for high amplitudes. This...
A non-uniform quantization approach for neural signals is presented and evaluated in this paper. Depending on the local properties of the signal, the number of bits is varied dynamically: a high number of bits is used for the detected Action Potentials (APs) or Spikes, otherwise a lower number of bits is used. Therefore a simple threshold detector enables the window for high precision mode. The algorithm...
In this paper we analyze the effectiveness of a serial delta compression scheme for reducing data rate of neural signals in brain implanted systems. Due to their location neural implants have limited power budget in order not to damage the surrounding tissues. In an implant with a wireless communication link the data rate needs then to be reduced to meet the power requirements since the transmitter...
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