Statistical evaluation method for intermediate data of paroxysmal conditions of children's absence epilepsy

Abstract

The invention provides a statistical evaluation method for intermediate data of paroxysmal conditions of children's absence epilepsy. The method employs easy wearable electroencephalogram electrodes and wristbands that are easy to be accepted by children because the electroencephalogram electrodes and the wristbands are of concealment and are convenient to be worn by the children. In the method, not only the electroencephalogram is used for analyzing the paroxysm of the epilepsy, but also wireless motion nodes are introduced in combination with the children's features to more precisely detect the paroxysmal process and the paroxysmal number. Without affecting the children's daily activities or hurting the children patient, the system is suitable to be worn at home and applicable to a long-term measurement. The objectivity is better when wearing the system for a longer period. By this method, the daily paroxysmal information of the children patient can be statistically accumulated, thereby providing an auxiliary basis for the family members to understand the illness condition as well as for the doctors to further understand the illness condition, due to the fact that whether the statistic of the paroxysmal number is accurate also provides a great reference to the therapeutic process of the children patient.

Description

technical field [0001] The present invention belongs to the field of biomedical engineering, which is the interdisciplinary field of medicine and engineering, specifically the field of data evaluation in biomedical engineering, and involves the use of information processing means to monitor the seizures of children with absence epilepsy, assisting clinical or medical research to Accurately monitor and analyze the condition. Collect the children's EEG and limb acceleration movement information in the system, use nonlinear entropy and threshold methods respectively to obtain the activity status of the children, combine classification methods to count the seizures, and then form an objective evaluation of the seizures . Background technique [0002] According to the Green Paper on Epilepsy Prevention and Control in China in 2009, there are about 9 million patients in my country, the prevalence of epilepsy is about 7‰, and 400,000 new cases occur each year, most of whom are chi...

AI Technical Summary

Problems solved by technology

[0005] Purpose of the invention: The present invention provides a statistical evaluation method for intermediate data of children with absence epileptic seizures, the purpose of which is to solve the problem that the number of seizures cannot be systematically and objectively counted and evaluated in the past

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