DocumentCode
1793703
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
fYear
2014
fDate
7-8 Nov. 2014
Firstpage
131
Lastpage
136
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/MedCom.2014.7005990
Filename
7005990
Link To Document