DocumentCode
3046510
Title
ECG power line interference removal using combination of FFT and adaptive non-linear noise estimator
Author
Shirbani, Fatemeh ; Setarehdan, Seyed Kamaledin
Author_Institution
Sch. of Electr. & Comput. Eng., Univ. of Tehran, Tehran, Iran
fYear
2013
fDate
14-16 May 2013
Firstpage
1
Lastpage
5
Abstract
Modern ECG instruments have a very high common mode rejection ratio to reduce power-line interference noise as much as possible. Nevertheless, the residual power-line noise should be eliminated. Due to the fact that, the central frequency of power-line may alters about ±1Hz and the desired signals around the central frequency should not be attenuated, applying the ideal notch filter with a fixed frequency or a band stop filter is not practical. Benefitting from the powerful microcontroller STM32F4 in a new brand of Electrocardiograph instrument “Araz630”, we present a low cost efficient method of powerline noise removal. This method includes an FFT-based algorithm to find the center frequency of power-line and then subtracting the noise estimated by adaptive non-linear algorithm. In our implementation, we achieve between 30 to 35 dB of cancellation of the fundamental power-line noise component and the central frequency is obtained by the resolution of 0.1 Hz.
Keywords
adaptive estimation; adaptive signal detection; bioelectric potentials; electrocardiography; fast Fourier transforms; interference suppression; medical signal detection; medical signal processing; noise; signal denoising; Araz630; ECG power line interference removal; FFT-based algorithm; adaptive nonlinear algorithm; adaptive nonlinear noise estimator; central frequency; electrocardiograph instrument; microcontroller STM32F4; Digital filters; Electrocardiography; Equations; IIR filters; Interference; Noise; Time-frequency analysis; Adaptive noise estimation; CMSIS DSP; STM32F4; power-line noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Engineering (ICEE), 2013 21st Iranian Conference on
Conference_Location
Mashhad
Type
conf
DOI
10.1109/IranianCEE.2013.6599622
Filename
6599622
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