DocumentCode
1788968
Title
Real time analysis of EEG signals on Android application
Author
Prabhakara, M. ; Kulkarni, Vaishali
Author_Institution
Dept. of Comput. Sci., Reva Inst. of Technol. & Manage., Bangalore, India
fYear
2014
fDate
10-11 Oct. 2014
Firstpage
1
Lastpage
4
Abstract
There is a significant interest in the technology to detect medical problems in an economical cost. It has become essential to develop wearable and ambulatory systems for monitoring and analyzing various biological signals. This work focuses on development of Android Mobile Application that reads signals from EEG source and gives an analysis to the doctor. With this application a detailed health of a patient can be obtained and it is helpful for further investigation and treatment. Further this work expands the distribution of the information obtained to multiple clients using Android device. Use of alert signals, analysis of patient´s health and Android mobile platform are the major features of this application.
Keywords
alarm systems; biomedical telemetry; body sensor networks; data analysis; electroencephalography; electronic data interchange; medical signal processing; patient monitoring; patient treatment; portable instruments; real-time systems; smart phones; Android device; Android mobile application development; Android mobile platform; EEG signal analysis; EEG source signal reading; alert signal; ambulatory system development; biological signal analysis; biological signal monitoring; detailed patient health; economical cost; information distribution; medical problem detection; multiple client; patient health analysis; patient treatment; real time analysis; wearable system development; Androids; Electroencephalography; Headphones; Humanoid robots; Mobile communication; Real-time systems; Servers; EEG; Mobile Communication; Signal analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Electronics, Computers and Communications (ICAECC), 2014 International Conference on
Conference_Location
Bangalore
Type
conf
DOI
10.1109/ICAECC.2014.7002387
Filename
7002387
Link To Document