A Comparison of Denoising Methods for Electrodermal Activity Signals

This study aimed to compare denoising filter to be used in the physiological signal analysis. In this context; filter performance will be compared over the Electrodermal Activity (EDA) signals, Finite Impulse Response filter, Discrete Wavelet Transform and Singular Spectral Analysis will be compared with noise reduction performance. The main problem is deformed signals by external factors and different physiological cases are misleading physicians Each physiological signals have spesicific character. Therefore, each signal processing software / systems should be specific to the signal. This study showed can be applied to the EDA signals, which can give accurate results noise reduction technique. The goal is, provide to pure EDA signal's information which is canalized to physician at diagnosing process.