Key result
FLANN effectively denoises ECG signals to overcome standard filtering limitations.
Population
Different ECG signals
Comparison
Functional Link Artificial Neural Network (FLANN) for denoising vs typical filtering procedures
Design
Other study using MATLAB platform
Authors
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May aid ECG signal quality in noisy settings; hypothesis-generating and should not change practice without validation.
The study proposes a Functional Link Artificial Neural Network (FLANN) approach for reducing noise in ECG signals.
Dey et al. (2011) studied ECG signal noise. Functional Link Artificial Neural Network (FLANN) was evaluated on ECG signal denoising. A Functional Link Artificial Neural Network (FLANN) was proposed for the denoising of ECG signals to overcome the limitations of typical filtering procedures.
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