Volume 5, Issue 11

IOT BASED HEALTH MONITORING SYSTEM WITH EEG ANALYSIS (141338)

DOI :

Abstract : Paralysis is one of the main breakdowns that lead to loss of movement of one or more muscles of the body which depending on the cause can affect a particular muscle group or area of the body or a larger area may be involved. In search of rehabilitation the eye can be regarded as one from organs that can help paralyzed people communicate correctly. Eye movement can be used by paralyzed patients and people without arms to perform simple tasks. This project illustrates the acquisition and analysis of eye blinking signals to activate devices for patients with paralysis. The method proposed here uses the minimum number of electrodes to produce signals thereby reducing the occurrence of artifacts, and also after a simple circuit for performing the signal conversion which is also advantageous from the users point of view. The flashing signal can be used as input to the MATLAB PC and perform sorting and interface with the microcontroller to monitor the devices via RS232. Aquí uses the AT89S52 as our driver.

Pages : 39-43

Downloads : 1

Publication Date :

Modified Date : 2018-11-16

Cite/Export :

Pranita Narayan Borude , Prof. A.M. Rawate , "IOT BASED HEALTH MONITORING SYSTEM WITH EEG ANALYSIS", IJIERT - International Journal of Innovations in Engineering Research and Technology, Volume 5, Issue 11, ISSN : 2394-3696, Page No. 39-43