FPGA (Field Programmable Gate Array)-based spike potential signal parallel detection device and method

Abstract

The invention discloses an FPGA (Field Programmable Gate Array)-based spike potential signal parallel detection device and a method. The device comprises parallel modules, wherein each module comprises a signal receiver, a signal decomposition / reconfiguration device, a coefficient buffer, a coefficient processor, a signal detector and a signal output device. The method comprises the following steps of: receiving a signal sequence to be detected, and decomposing the signal sequence to be detected to obtain a decomposed coefficient sequence; and processing the decomposed coefficient sequence, carrying out signal sequence reconstruction to the processed coefficient sequence, detecting the reconstructed signal sequence to obtain a spike potential signal, and outputting the spike potential signal. According to the invention, the signal processing speed is improved by realizing the operation mode of the pipeline processing of the signal decomposition / reconstruction, and the multi-channel parallel detection is realized by a modularized design of the FPGA-based single-channel spike potential signal parallel detection device, so that the processing efficiency of a system is improved.

Description

technical field [0001] The invention belongs to the field of implantable brain-computer interface, and in particular relates to an FPGA-based spike signal parallel detection device and method. Background technique [0002] In the implantable brain-computer interface technology, while recording the spike, the noise in the environment must be brought into the recording signal. At the same time, there is also noise interference in the electronic recording equipment, even including environmental interference in the laboratory. . However, the amplitude of the neural signal is very weak. When the neural signal is amplified by the amplifying circuit, the noise is inevitably amplified at the same time. Therefore, the signal obtained in the experimental record is a signal seriously disturbed by the noise. [0003] Separating spikes from background noise and obtaining useful neuron information is the purpose of spike detection, and it is the first step in the preprocessing of neural ...

AI Technical Summary

Problems solved by technology

However, in the prior art, the general use of computers for the detection and processing of spike signals cannot meet the current requirements for parallel real-time detection of multi-channel spike signals.

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