Ultralow-frequency EEG (electroencephalograph) detector and ultralow-frequency EEG detection and analysis method

Abstract

The invention relates to an ultralow-frequency EEG (electroencephalograph) detector and an ultralow-frequency EEG detection and analysis method. The detector comprises a direct-current EEG amplifier connected with a computer, the direct-current EEG amplifier is detachably connected with multiple EEG electrodes, a control circuit board electrically connected with the EEG electrodes is arranged in the direct-current EEG amplifier, a filter unit, an operational amplifier, a digital-to-analog converter unit and an MCU or DSP unit which are electrically connected are arranged on the control circuitboard, the filter unit comprises a high-pass digital filter and a low-pass digital filter which are electrically connected, the high-pass digital filter filters low-frequency signals firstly and hasthe cut-off frequency of 1 mHz, and the low-pass digital filter filters high-frequency signals later and has the cut-off frequency of 1 Hz. The invention also relates to a detection and analysis method for acquiring and detecting EEGs by the ultralow-frequency EEG detector and then processing the EEGs. The problem of detection of ultralow-frequency EEG of 1 Hz or below is solved, accurate EEGs areobtained by processing detected EEGs, and the brain condition can be known more accurately.

Description

technical field [0001] The invention relates to the medical field, in particular to an ultra-low frequency brain wave detector capable of detecting ultra-low frequency brain waves below 1 Hz, and a method for analyzing the detected brain waves. Background technique [0002] As a special and complex bioelectrical signal, electroencephalogram (electroencephalograph, EEG) signal reflects the functional state of the brain. The neurons in the cerebral cortex have bioelectrical activity, and often have continuous rhythmic potential changes, which are called spontaneous EEG activities. By detecting these EEG activities in a certain way, the rich information contained in the human brain can be effectively extracted. For these The analysis of information is helpful for in-depth understanding of the function of the brain, and at the same time, abnormal lesions of the brain can be found to diagnose brain diseases in time. The brain is composed of about 17 billion brain cells. Differen...

AI Technical Summary

Problems solved by technology

By detecting different brain waves, people's health status can be better understood, but the existing electroencephalographs all use AC EEG amplifiers. form a high-pass filter), the AC EEG amplifier cannot detect the ultra-low frequency brain waves below 1Hz, and it is impossible to understand the condition of the human brain at ultra-low frequencies

At the same time, the existing detection and analysis methods only analyze the fluctuations of the α wave, but since the α wave is easily affected by the state of the testee, the repetition rate of the detection and analysis is not high, and the mentality of the examinee is not required. Relatively high, the test results are not accurate enough to accurately understand the brain condition

Images