The current development of the non-medicine treatment of Epilepsy involved EEG and the Expectation
DOI:
https://doi.org/10.54097/hset.v6i.968Keywords:
BCI, epilepsy, EEGAbstract
Since Jacquces Vidal first proposed the concept of the brain-computer interface in 1973, more and more scientific researches have been involved in the study of BCI, leading to the rapid development of BCI technology. Brain-computer interface refers to establishing a direct connection between the human brain and the external machine, which enables the brain to directly interact with the outside world based on the behaviours and movement of muscle tissue regulated by peripheral nerves or the communication of language and characters. BCI can achieve direct contact with external devices without relying on normal brain output pathways, which brings hope to patients with normal thinking but a severe neuromuscular injury that BCI can restore their ability to move or communicate with the environment and improve the quality of life of patients. There are mainly EEG, MEG, ECoG and FMRI methods to record neural signals of brain physiological activities. EEG is the bioelectrical activity of cortical neurons, which can reflect different brain states well and is widely used to apply brain-computer interface technology. At present, BCI technology is developing towards the real-time and practical direction. This paper summarizes the progress of EEG based brain-computer interface and an overview of epilepsy. These results shed light on further exploring the application potential of BCI in repairing major brain diseases.
Downloads
References
Detailed analysis: drug-resistant epilepsy; Neurosurgery of Aviation General Hospital
The drug resistance of epilepsy and it's solutions; Yuhui Wang, Fuyuan Shao; World Clinical Drugs
Clinical seizure types of epilepsy; WeiPing Liao; Chinese general Practical; June 2001; Vol.4 No 6
Study on the pathogenesis of epilepsy; Huajun Yang, Anchen Guo, Wang qun; Journal of epilepsy; 2017,3(02)
Clinical study on seizure type, age and etiology in patients with epilepsy; YaLin Zhou,Liu Li, Medical Information; May.2014; Vol.27. No.5
Clinical seizure types of epilepsy; WeiPing Liao; Chinese general Practice; June 2001; Vol.4 No 6
Research progress in the pathogenesis of epilepsy; Xiong Min, HuaQing Su, MingYun Xiang; Chinese contemporary medicine; October 2019; Vol. 26, No. 30
A review of the application of brain-computer interface in rehabilitation medicine; Jiang Qin,Zhang Yi,Xie Zhirong.
An automatic subject specific channel selection method for enhancing motor imagery classification in EEG-BCI using correlation; Pramod Gaur a,*,Karl McCreadie b, Ram Bilas Pachori c, Hui Wang d, Girijesh Prasad b
Automatic detection of epilepsy based on EEG-Summarization and expectation; Ruiyan Peng, Jun Jiang, Guangtao Kuang, Hao Du, Dongrui Wu, Jianbo Shao
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







