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Filtering of Cardiac and Power Line in Surface Respiratory EMG Signal |
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PP: 365-382 |
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Author(s) |
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S. Yacoub,
K. Raoof,
H. Eleuch,
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Abstract |
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| Biomedical EMG signal is contaminated by many noise sources as the electrocardiogram
ECG artefact and the power line interference PLI artefact. It’s difficult to filter
these noises from EMG signal, and errors resulting from filtering can atlter the signal.
In order to solve this problem, we present in this paper an adaptative interference filter
with a variable step size parameter for the removal of the two principal noises (ECG
and PLI) which disturb the surface electromyography signal (Diaphragm), the “Adaptive
Interference Canceller” (AIC) for the PLI and the “Cascade Adaptive Canceller”
(CAC) for the ECG. The algorithms proposed require a reference signal that is correlated
with the noise contaminating the signal. The noise references are then extracted :
first with a noise reference mathematically constructed using two different cosine functions;
50Hz (the fundamental) function and 150Hz (the first harmonic) function for
the power line interference and second with a matching pursuit technique combined to
an LMS structure for the ECG artefact estimation. The proposed procedures require
only one channel to both estimating the adaptive filter input reference and the EMG
signal. The proposed techniques of filtering are evaluated using both computer simulations
and realEMGrecords, and its efficiency in interference cancellation is compared
to already conducted research. |
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