Title :
ECG baseline noise removal techniques using window based FIR filters
Author :
Singh, Taranveer ; Agarwal, Prabhakar ; Pandey, V.K.
Author_Institution :
Dept. of Electron. & Commun., Noida Inst. of Technol., Noida, India
Abstract :
This paper deals with the application of the raw ECG signal and best window technique used to design FIR filter by comparing the spectral densities and average power before filtration and after filtration. In this work we have used different ECG databases from Physionet for assessing the quality of the algorithms developed.
Keywords :
FIR filters; biomedical engineering; electrocardiography; filtering theory; medical signal processing; ECG baseline noise; ECG databases; Physionet; baseline noise removal technique; electrocardiography; finite impulse response filter; raw ECG signal application; signal average power; signal spectral densities; window based FIR filter; Communication systems; Electrocardiography; Filtration; Finite impulse response filters; Noise; Average Power; ECG Signal; FIR filter; Spectral density;
Conference_Titel :
Medical Imaging, m-Health and Emerging Communication Systems (MedCom), 2014 International Conference on
Conference_Location :
Greater Noida
Print_ISBN :
978-1-4799-5096-6
DOI :
10.1109/MedCom.2014.7005990
