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Received: 9 January 2019 Accepted: 22 March 2019 Nowadays, the design of multichannel recording systems for neural signals used as an irreplaceable tool in the storage and analysis of neural signals for the diagnosis and treatment of various cardiovascular diseases. In order to increase the information received and thus reduce the risk of using these sorts of systems, designers try to use more electrodes or channels in this systems, but if the number of channels increases the new constraint is added to these systems which is stores a vast amount of data, and makes a wireless transport of information impossible. So it causes an increase in the number of channels in signal recording systems are severely restricted. The purpose of this study is to create a new structure for the analog processors to we do not only transfer the stored spikes completely to the system output but also reduce the amount of information which need to transmit. This new method consists of two separate compressive sampling blocks and spike detecting which is implanting together. Through this study, it was found that by using this method, we can increase the channel of neural signal recording system without any limitation, So The findings of this research significantly decrease the risk of using neural signal recording systems for biomedical applications.

New Analog Processing Technique in Multichannel Neural Signal Recording with Reduce Data Rate and Reduce Power Consumption