Open AccessLow Frequency Noise Remove from EEG Signal
Author(s) -
Awnish Kumar,
Rahul Kumar Tiwari,
Abhilash Gaur
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.a2456.059120
Subject(s) - electroencephalography , noise (video) , signal (programming language) , computer science , filter (signal processing) , speech recognition , signal to noise ratio (imaging) , pattern recognition (psychology) , artificial intelligence , acoustics , telecommunications , medicine , computer vision , physics , psychiatry , image (mathematics) , programming language
The electrical activity of the brain recorded by EEG which used to detect different types of diseases and disorders of the human brain. There is contained a large amount of random noise present during EEG recording, such as artifacts and baseline changes. These noises affect the low -frequency range of the EEG signal. These artifacts hiding some valuable information during analyzing of the EEG signal. In this paper we used the FIR filter for removing low -frequency noise(<1Hz) from the EEG signal. The performance is measured by calculating the SNR and the RMSE. We obtained RMSE average value from the test is 0.08 and the SNR value at frequency(<1Hz) is 0.0190.