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Correlation-dimension-based neuron action potential feature extraction method

A technology of action potential and correlation dimension, applied in the field of biomedical engineering, can solve the problems that the characteristics cannot be reflected, and the complete information of the action potential cannot be reflected, etc.

Inactive Publication Date: 2011-06-29
HANGZHOU DIANZI UNIV
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Problems solved by technology

This method extracts the correlation dimension features of action potentials, which can be effectively used for the classification of later action potentials, and can solve the problem that the features extracted by traditional methods cannot reflect the complete information of action potentials or cannot reflect the nonlinear and non-stationary dynamic characteristics of action potentials, etc. question

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  • Correlation-dimension-based neuron action potential feature extraction method
  • Correlation-dimension-based neuron action potential feature extraction method
  • Correlation-dimension-based neuron action potential feature extraction method

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specific Embodiment approach

[0039]The neuron action potential feature extraction method based on the correlation dimension extracts the correlation dimension feature of the action potential to characterize the internal determination law and degree of each action potential, which can be used as an effective basis for distinguishing different action potentials. Its specific implementation is as follows:

[0040] 1. Through the action potential acquisition system, multiple action potential time series with a duration of n sampling points are obtained by collecting at a sampling frequency of 40KHz ,Such as figure 1 As shown, the number of sampling points of the action potential .

[0041] 2. Determine the embedding dimension and delay time The value of the time series Perform multidimensional phase space reconstruction to obtain phase space matrix . In this example .

[0042] 3. Calculate the phase space matrix separately The distance of each row vector in the matrix to the rest of the matr...

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Abstract

The invention relates to a correlation-dimension-based neuron action potential feature extraction method. In the conventional methods, the information extraction is incomplete, and the calculation efficiency is low. The method comprises the following steps of: sampling action potential signals to acquire an action potential signal time sequence X of n sampling points, determining the values of delay time and embedded dimension, performing multi-dimensional phase space reconstruction on the time sequence X, and calculating the correlation dimension of action potential by adopting an improved algorithm in the reconstructed phase space to obtain neuron action potential features. According to the method, the information quantity is complete and the calculation speed is high during calculation.

Description

technical field [0001] The invention belongs to the field of biomedical engineering, and relates to a neuron action potential feature extraction method, in particular to a neuron action potential feature extraction method based on correlation dimension. Background technique [0002] Action potential is the signal carrier received, analyzed and transmitted by neurons, and is the basic form of neuronal network activity. The feature extraction technology of neuron action potential is the early foundation of neuroinformatics research such as action potential pattern classification technology and action potential sequence decoding. In recent years, with the development of implantable multi-electrode array recording technology, a large number of neuron action potential Therefore, extracting the effective feature information of neuronal action potentials and dividing them into corresponding neurons according to the feature information plays a key role in the subsequent study of the...

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Application Information

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IPC IPC(8): G06N3/063
Inventor 范影乐詹跃荣
Owner HANGZHOU DIANZI UNIV