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Sleep awakening period analysis method based on amplitude integrated electroencephalogram

A technology of sleep awakening and amplitude integration, applied in the field of image processing, can solve the problems of limited clinical application, long time-consuming and limited manual analysis and detection process, and achieve the effect of improving processing efficiency, improving manual work efficiency, and facilitating processing

Active Publication Date: 2021-03-26
杭州沃维医疗科技有限公司
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Problems solved by technology

[0004]At present, the clinical application of aEEG is limited, and its direct product is an abstract image, which has high requirements for professional EEG analysis technology, and the manual analysis and detection process is time-consuming long, limited

Method used

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  • Sleep awakening period analysis method based on amplitude integrated electroencephalogram
  • Sleep awakening period analysis method based on amplitude integrated electroencephalogram
  • Sleep awakening period analysis method based on amplitude integrated electroencephalogram

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Embodiment 1

[0065] Such as figure 1 A method for analyzing the sleep-wake cycle based on amplitude-integrated EEG includes the following steps:

[0066] S10: Collect EEG data through multi-conductor electrodes placed at appropriate locations on the scalp, and transmit to a computer for processing to generate amplitude-integrated electroencephalogram (aEEG);

[0067] S20: Upload the collected and generated aEEG data to the server, and after the server obtains the aEEG data, identify the aEEG signal abnormality caused by external interference, and mark the abnormal time period;

[0068] S30: According to the aEEG data, extract the smooth boundary of the aEEG data, and acquire the attribute feature data corresponding to the boundary;

[0069] S40: According to the smooth boundary attribute feature of the aEEG data, identify AS and QS, and obtain a sleep-wake cycle.

[0070] In this embodiment, step S10 specifically further includes the following steps:

[0071] S101: The user wears the EE...

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Abstract

The invention discloses a sleep awakening period analysis method based on amplitude integrated electroencephalogram, and relates to the technical field of image processing. According to the method, the analysis efficiency is improved by collecting electroencephalogram data, uploading and identifying interference signals, obtaining smooth boundary attribute characteristics of aEEG data and performing window segmentation on the attribute characteristics. The input attribute characteristics are converted into floating point values, later data analysis is more convenient, then the floating point values are submitted to a first model and a second model for learning, AS and QS periods are automatically recognized through a specific algorithm, the clinical aEEG recognition and analysis efficiencyand correctness are improved, and the aEEG data manual recognition and analysis time is shortened.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for analyzing sleep-wake cycles based on amplitude-integrated EEG. Background technique [0002] With the advancement of human society and science and technology, neonatal medicine has developed rapidly. In recent years, Chinese neonatologists have made unremitting efforts in theoretical research, clinical diagnosis and treatment, and development and application of new technologies of perinatal brain injury, and have made great progress. Among them, amplitude-integrated electroencephalography (aEEG) in brain electrophysiological monitoring is one of the important methods for evaluating neonatal brain development and brain damage. [0003] After years of research and practice, medical personnel in my country have gained a deeper understanding of aEEG technology, and realized that aEEG and traditional EEG, brain imaging and cerebral oxygen metabolism monitoring f...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/372A61B5/00
CPCA61B5/7203A61B5/7225A61B5/7267A61B5/7242A61B5/4812
Inventor 杨红程国强秦瑞郭胜男
Owner 杭州沃维医疗科技有限公司
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