Automatic identification method of electroencephalogram artifact and automatic identification electroencephalograph using same

Abstract

The invention relates to an automatic identification method of electroencephalogram artifact and an automatic identification electroencephalograph using the same. The method comprises the following steps that: electroencephalosignals are collected by an electrode and are analyzed to generate the required electroencephalogram detection data; video signals related to detected persons and/or environments are collected by a camera device, and are analyzed to judge a time period in which a video situation easily causing the artifact occurs in the detected persons and/or environments as an artifactsuspicious interval; and then the artifact suspicious interval is identified, and an electroencephalogram or tendency chart containing artifact suspicious interval identification is displayed. A computer host or an operating server in the video electroencephalograph can be used for executing the analysis and processing task of the data collected by the electrode and the camera device in the method. In the automatic identification method, the artifact suspicious interval can be visually displayed in the electroencephalogram or tendency chart, the difficulty of human analysis and artifact signal elimination is reduced, and the accuracy and efficiency of electroencephalograph analysis are improved.

Description

technical field [0001] The invention relates to a method for automatic identification of EEG artifacts and an EEG detection device with the function of automatic identification of artifacts. Background technique [0002] EEG artifact, also known as artifact or interference, refers to the reflection of potential activity from outside the brain in the EEG. As we all know, the EEG signal is a very weak physiological electrical signal, and the amplitude of the spontaneous EEG signal is 30-100uV, so it needs to be amplified hundreds of thousands of times before it can be recorded. The EEG signal may also enter the amplifier and be mixed into the EEG signal to form artifacts. [0003] The appearance of artifacts often causes difficulties in reading, analyzing, and judging EEG. as important. There are many types of artifacts, including physiological artifacts (such as ECG, EMG, etc.), artifacts from instruments and electrodes, artifacts from environmental electromagnetic interfe...

AI Technical Summary

Problems solved by technology

However, the image data of several minutes or even hours cannot be displayed on one or a few screens like the EEG and/or EEG trend graph (if not compressed, the EEG data recorded per hour will display about 360 screens) Doctors need to identify whether abnormal signals are caused by disease or artifacts from the EEG. They usually have to

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