• 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