An Adaptive EEG Signal Abnormality Detection Method Based on Time Domain Analysis

Abstract

The invention discloses a method for detecting self-adaptive brain wave signal abnormity based on time-domain analysis. The scheme is as follows: the method comprises the following steps: collecting to-be-detected brain wave signals, and carrying out denoising filtering; carrying out segmentation according to the time duration; calculating the average value and the variance of each segment; selecting the sensitivity parameter; calculating the weighted average value and the weighted variance of each brain wave signal segment; calculating the self-adaptive weighted threshold value of the electroencephalogram signal; selecting the tolerance time; counting the electroencephalogram signals exceeding the threshold value, and carrying out real-time alarming when the count value is greater than a certain value; counting the alarming times, wherein the larger the alarming times is, the larger probability that the collected electroencephalogram signals are in the abnormal condition is. The method has the advantages of safety, convenience, low price and noninvasion, the brain work condition of a tested object can be dynamically observed in real time, and thus effective adjuvant therapy is provided for clinical medicine.

Description

technical field The invention relates to the technical field of brain wave signal detection and identification, in particular to an adaptive brain wave signal abnormality detection method based on time domain analysis. Background technique The brain is the center of the human body to perceive and process external environmental information, and is the control center of all human actions, language and other functions. It uses the nerve cells of the whole body as the medium to send instructions to all parts of the body. These instruction information are transmitted through EEG signals, and EEG signals will show certain corresponding and regular changes with people's thinking activities or external stimuli, that is, people's wishes expressed by abstract brain activities can be represented by actual physical electrical signals. At present, most of the research on brain wave signals is in the laboratory stage, and there are few fields of practical application, mainly in the medica...

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Problems solved by technology

At present, most of the research on brain wave signals is in the laboratory stage, and there are few fields of practical application, mainly in the medical field.

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