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• W2242924242 abstract "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." @default.
• W2242924242 created "2016-06-24" @default.
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• W2242924242 date "2015-10-01" @default.
• W2242924242 modified "2023-09-27" @default.
• W2242924242 title "A comparison of denoising methods for Electrodermal Activity signals" @default.
• W2242924242 cites W1595041077 @default.
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• W2242924242 doi "https://doi.org/10.1109/tiptekno.2015.7374563" @default.
• W2242924242 hasPublicationYear "2015" @default.
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