Title :
ECG baseline drift removal through STFT
Author :
Pandit, Sandeep V.
Author_Institution :
Dept. of Electr. Eng., Victoria Jubilee Tech. Inst., Bombay
fDate :
31 Oct-3 Nov 1996
Abstract :
The presence of baseline drift in an ECG signal influences the visual interpretation of the ECG as well as the results obtained from computer based off-line ECG analysis. This paper investigates the use of the Short Time Fourier Transform (STFT) technique to estimate the presence of baseline wander low frequency components, which can then removed by implementing the time varying digital filtering of ECG baseline wander
Keywords :
Fourier transforms; electrocardiography; medical signal processing; ECG baseline drift removal; ECG baseline wander; ECG visual interpretation; baseline wander low frequency components; electrodiagnostics; short time Fourier transform technique; time varying digital filtering; Digital filters; Electrocardiography; Filtering; Frequency estimation; Frequency measurement; Low-frequency noise; Nonlinear filters; Power engineering computing; Signal analysis; Spectrogram;
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
DOI :
10.1109/IEMBS.1996.647477
