• DocumentCode
    1639822
  • Title

    A non-invasive remote health monitoring system using visible light communication

  • Author

    Al-Qahtani, Abdulla ; Al-Hajri, Hamad ; Al-kuwari, Saad ; Al-yaarabi, Naseer ; Al-hababi, Abdulrahman ; Al-kubaisi, Essa ; Ahmed, Abdulla ; Kashef, Mohamad ; Abbasi, Qammer H.

  • Author_Institution
    Sch. of Electron. Eng. & Comput. Sci., Texas A & M Univ. at Qatar, Doha, Qatar
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    In this paper a non-invasive Electroencephalograph (ECG) monitoring system based on visible light communication is presented. An ECG kit is connected to ardueno board which uses wifi shield to transmit the ECG signal wirelessly to computer. A prototype of visible light communication (VLC) link is used to transmit the ECG signal. The received ECG signal over VLC link is compared with the transmitted ECG signal and error is calculated. Result shows that maximum 3% error in received signal at a distance of 2 meter, which opens a new path of using VLC channel in remote health monitoring system.
  • Keywords
    biomedical electronics; biomedical telemetry; electrocardiography; error analysis; optical communication; patient monitoring; pattern matching; prototypes; telemedicine; wireless LAN; ECG kit; ECG signal wireless transmission; VLC channel; VLC link prototype; Wi-Fi shield; ardueno board; distance 2 m; error calculation; noninvasive ECG monitoring system; noninvasive electroencephalograph monitoring system; received ECG signal comparison; transmitted ECG signal comparison; visible light communication; Biomedical monitoring; Boards; Electrocardiography; Medical services; Monitoring; Radio frequency; Wireless communication; ECG; on-body; remote healthcare; visible lightcommunication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Information and Communication Technologies for Ubiquitous HealthCare (Ubi-HealthTech), 2015 2nd International Symposium on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-6167-2
  • Type

    conf

  • DOI
    10.1109/Ubi-HealthTech.2015.7203332
  • Filename
    7203332