CCCII+ BASED LOW PASS FILTER DESIGN FOR ANALYSIS OF EEG SIGNALS

Abstract

Biomedical signals are usually small amplitude and noisy signs in the area of low-spectrum frequencies obtained by electrodes. In the analysis of biomedical signals, although OP-AMPs are often used, current conveyors are now available, which are more advantageous as alternatives. In this study, a low-pass filter circuit is designed for the analysis of EEG signals using the second-generation current-controlled current conveyor (CCCII+). The cut frequency of the CCCII+ low pass filter circuit is designed to be 100 Hz and the ORCAD Pspice program is used to simulate this circuit. The introduction of the low-pass filter, which is designed, has been applied to raw EEG data for epilepsy patients and healthy people from the University of Boon. Fourier Analysis was applied to the signals as a result of the EEG signal being applied to this designed filter, and changes in the signals and EEG waves (δ, θ, α, β, γ) were examined. A low-pass filter designed with CCCII+ for both signals is good for damping. This designed CCCII+ low pass filter circuit is intended to be good for diagnosing neurological diseases such as epilepsy if used for EEG measurements.