A new approach for higher data reduction capacity based on spike detection technique in wireless multichannel neural recordings

We present, in this paper, a simple approach for increasing data reduction capacity based on spike detection techniques in wireless multichannel neural recordings. The impact of the number of bits per sample and the sampling rate used by each data acquisition channel are analysed and quantified. The approach consists of minimizing the sampling frequency and the number of bits per sample of the extracellular neural recordings. The proposed approach allows increasing the number of channels that may be monitored simultaneously without additional computation, by a factor up to 5.