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Adaptive brain neural signal processing method and system

A signal processing and neural signal technology, applied in the field of brain signal processing, can solve problems such as non-payment and good flexibility, and achieve the effects of flexible algorithm adjustment, flexible workflow, and good reliability

Inactive Publication Date: 2016-05-11
ZHEJIANG UNIV
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  • Abstract
  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides an adaptive brain signal processing method and system, simultaneously using multiple algorithms to process brain signal data, and adaptively adjusting the processing results to overcome the problem that the specific algorithm may not be consistent with the actual result , good flexibility

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  • Adaptive brain neural signal processing method and system
  • Adaptive brain neural signal processing method and system
  • Adaptive brain neural signal processing method and system

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Embodiment Construction

[0032] The specific structure and working process of the present invention will be described below in conjunction with the accompanying drawings.

[0033] like figure 1 As shown, an adaptive brain neural signal processing method, including:

[0034] Step 1, collecting neural signal data.

[0035] Step 2, using different algorithms to process the neural signal data to obtain corresponding processing results. The algorithm for processing the neural signal data adopts at least one of the following methods: Kalman algorithm, support vector machine algorithm, support vector machine regression algorithm, k-neighbor classification algorithm, generalized regression neural network algorithm and Monte Carlo point process algorithm.

[0036] Step 3, choose one of the following ways to adaptively adjust the processing results:

[0037] a. Average the processing results;

[0038] b. Weighted average of the processing results;

[0039] c. Calculate the mean square error value of the pr...

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Abstract

The invention discloses an adaptive brain neural signal processing method and system. The method comprises the steps of step 1, receiving neural signal data; step 2, performing processing on the neural signal by adopting different algorithms concurrently to obtain corresponding processing results; step 3, performing adaptive adjustment on the processing results; and step 4, outputting the adaptively-adjusted results. According to the adaptive brain neural signal processing method and system, reasonable design, modular algorithm processing and high flexibility are achieved; the number of algorithm processing modules can be increased or decreased according to the existing needs; the overall system operation is not affected; and complex neural signal processing tasks can be accomplished.

Description

technical field [0001] The invention relates to the field of brain signal processing, in particular to an adaptive brain nerve signal processing method and system. Background technique [0002] In the field of brain nerve signal research for motor function, a large number of brain nerve signals are usually collected through the front-end brain-computer interface. Due to the low spatio-temporal resolution of the signals collected by the front-end and the differences in the signal characteristics of specific behaviors, a large number of raw data of brain nerve signals need to be processed and analyzed by specific algorithms in order to cooperate with the back-end to perform behavior recognition and matching of neural signals. Decoding control and other further research. Therefore, there is a need for a brain signal processing method and system capable of processing a large number of neural signals. [0003] The analysis and processing of neural signals involves a variety of ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
CPCG06F19/32
Inventor 蒋荣欣周凡黄余格陈耀武
Owner ZHEJIANG UNIV
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