Cloud-based Mobile Platform for EEG Signal Analysis

被引：0
|
作者：
Dzaferovic, Emir [1 ]
Vrtagic, Sabahudin [1 ]
Bandic, Lejla [1 ]
Kevric, Jasmin [1 ]
Subasi, Abdulhamit [2 ]
Qaisar, Saeed Mian [2 ]
机构：
[1] Int Burch Univ, Fac Engn & Informat Technol, Sarajevo, Bosnia & Herceg
[2] Effat Univ, Dept Comp Sci, Coll Engn, Jeddah, Saudi Arabia
来源：
2016 5TH INTERNATIONAL CONFERENCE ON ELECTRONIC DEVICES, SYSTEMS AND APPLICATIONS (ICEDSA) | 2016年
关键词：
Android; Electroencephalograpg (EEG); Closed-loop systems; MindWave Mobile Headset; PREDICTION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
It is estimated that there are millions of people with epilepsy around the world. Seizure detection and prediction systems are built to improve lifestyle of patients. Closed-loop systems are designed to predict and detect seizures and inform patient and caretakers. Ideally, wireless technologies are used in order not to interfere with patient's life. We build a prototype for closed-loop systems consisting of Mind Wave EEG capturing device and Android application communicating via Bluetooth. The application can store signals locally or send them to cloud and then process them for different applications such as BCI, Neurofeedback, epileptic seizure prediction, etc.
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页数：4
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