• DocumentCode
    174159
  • Title

    Correlation between brain´s adjoin and diverse hemisphere for motor imagery task relating to central and peripheral nervous system

  • Author

    Samad, Md Abdus ; Huq, Md Imanul

  • Author_Institution
    Dept. of Electron. & Telecommun. Eng., Int. Islamic Univ. Chittagong, Chittagong, Bangladesh
  • fYear
    2014
  • fDate
    23-24 May 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper investigates the future application of using adjoin nerve system in lieu of diverse hemisphere of central nervous system or vice versa. In this study, we have tried to find the relations of signal between adjoin nerve system and diverse hemisphere of brain. In literature, relationship this type between two independent variable is called correlation. The purpose of this statistical method is to give us a statistic known as the correlation coefficient which represents the degree of linear association between two measured variables [13]. Three different tests had been conducted to find the correlation between EEGs from the `sensorimotor area channel´ during the motor imagery tasks and medial nerve´s conduction test as well. The correlation is calculated with respect to Event-Related-Potential (ERP)[1]. The events we have studied are relaxing state, motor activity and motor imagery task. Those data were then digitized, simulated and calculated the correlation in linear mode as well as in cross mode. Our study result shows that there are significant correlation exists between adjoin nerve system and diverse hemisphere of central nervous system of human.
  • Keywords
    bioelectric potentials; correlation methods; electroencephalography; medical signal processing; neurophysiology; statistical analysis; EEG; ERP; Event-Related-Potential; brain adjoin nerve system; brain diverse hemisphere; central nervous system; correlation coefficient; cross mode; independent variable; linear association degree; linear mode; medial nerve conduction test; motor activity; motor imagery tasks; peripheral nervous system; relaxing state; sensorimotor area channel; signal correlation; statistical method; Brain modeling; Correlation; Data collection; Electroencephalography; Neurons; Oscillators; CNS; EEG; Motor Imagry Task; NCV; PNS;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatics, Electronics & Vision (ICIEV), 2014 International Conference on
  • Conference_Location
    Dhaka
  • Print_ISBN
    978-1-4799-5179-6
  • Type

    conf

  • DOI
    10.1109/ICIEV.2014.6850828
  • Filename
    6850828