A Hardware and Mobile-Health Based System for the Analysis of EEG Signals

Year 2019, Volume: 10 Issue: 3, 911 - 918, 29.09.2019

Turgay Kaya , Seda Arslan Tuncer

https://doi.org/10.24012/dumf.600242

Abstract

Instantaneous monitoring of EEG signals is very important for patient
follow up. Independent follow-up systems are needed for the physician to
monitor and diagnose the patient continuously. In this article, a real-time
design for an FIR (Finite Impulse Response) filter was presented using a cosh
window function implemented on an FPGA (Field Programmable Gate Array)
environment. The reason for using the cosh window is that it has better ripple
ratio and larger sidelobe roll-off ratio than other windows in literature.  Since cosh window parameters can be changed
in the developed design, they can be easily adapted to the new state change.
After filtering the raw EEG signals, they were converted into a form that could
be interpreted by a specialist physician. The filtered data was uploaded to a
server on the internet so that the physician could access the EEG signals
remotely via a mobile phone. The proposed system facilitated examination of the
patient by the physician and made it possible to help instantly diagnose any illness.

Keywords

FPGA, FIR filter, cosh window, EEG, android application

EEG Sinyallerinin Analizi için Donanım ve Mobil-Sağlık Tabanlı Bir Sistem

Abstract

EEG
sinyallerinin anlık olarak izlenmesi hasta takibi açısından son derece
önemlidir. Hekimin hastayı sürekli olarak izlemesi ve teşhis yapabilmesi için
mekândan bağımsız takip sistemlerine ihtiyaç vardır. Bu makalede, FPGA
ortamında cosh pencere fonksiyonu kullanılarak FIR (Finite Impulse Response)
filtrenin gerçek zamanlı tasarımı sunulmuştur. 
Alınan ham EEG sinyalleri filtrelendikten sonra bu sinyaller uzman hekim
tarafından yorumlayabilecek şekle dönüştürülmüştür. Filtrelenmiş veriler
internet üzerindeki servera aktarılmış böylece, hekimin uzaktan mobil telefon
yardımıyla EEG sinyallerine ulaşması sağlanmıştır. Önerilen bu sistem sayesinde
hekimin hastayı sorgulaması kolaylaşmış ve anlık olarak hastalık teşhisi
yapabilmesine imkân sunulmuştur.

Keywords

FPGA, FIR filtre, cosh penceresi, EEG, Android Uygulaması

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