DocumentCode
1701825
Title
Low cost EEG signal acquisition system
Author
Arulmozhivarman, P. ; Reddy, G. Ramachandra ; Tatavarti, R.
Author_Institution
Sch. of Electron. Eng., VIT Univ., Vellore, India
fYear
2013
Firstpage
1
Lastpage
3
Abstract
Biomedical engineering technology research of late is focusing on the rapidly growing inter-disciplinary area of affordable healthcare, to promote evidence-based information and evaluate the low-cost healthcare technologies. With an ever increasing cost of medical diagnostics, and an increasing demand by individuals to access consumer-level products, there has been an explosion of low-end health technology, such as Micro Health applications on mobile phones. However, much of the technology still requires more scientific evidence for its suitability and efficacy. Moreover, technologies for resource-constrained locations often fail to take into account the social, economic and infrastructural issues such as, social acceptability, long-term compliance, available supply chains and economic sustainability plans. Against this backdrop presented a low cost EEG/EeG system suitable for real time monitoring and transmission of signals using the widely available GSM network.
Keywords
cellular radio; electrocardiography; electroencephalography; health care; medical signal detection; medical signal processing; mobile handsets; neurophysiology; patient diagnosis; patient monitoring; real-time systems; EEG signal acquisition system; EEG-ECG system; GSM network; biomedical engineering technology; consumer-level products; economic sustainability plans; evidence-based information; healthcare technologies; low-end health technology; medical diagnostics; microhealth applications; mobile phones; real time monitoring; resource-constrained locations; signal transmission; Data acquisition; Electroencephalography; Medical diagnostic imaging; Medical services; Monitoring; Sociology; Statistics; EEG-ADS1298 system-lowcost-GSM network-medical diagnostics;
fLanguage
English
Publisher
ieee
Conference_Titel
Biosignals and Biorobotics Conference (BRC), 2013 ISSNIP
Conference_Location
Rio de Janerio
ISSN
2326-7771
Print_ISBN
978-1-4673-3024-4
Type
conf
DOI
10.1109/BRC.2013.6487549
Filename
6487549
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