caa a22 4500 606206035 CHVBK 20210128101009.0 cr unu---uuuuu 210128e20150401xx s 000 0 eng 10.1007/s00034-014-9890-6 doi (NATIONALLICENCE)springer-10.1007/s00034-014-9890-6 Cancellation of Powerline Interference from Biomedical Signals Using an Improved Affine Projection Algorithm [Elektronische Daten] [A. Torres, J. Mateo, M. García, J. Santos] Powerline contamination of recorded signals represents a major source of noise in electrophysiology and impairs the use of recordings for research. Furthermore it degrades the signal quality and overwhelms tiny features that may be critical for clinical monitoring and diagnosis. During last years, notch filters and adaptive cancellers have been suggested to suppress this interference. In this article we present an improved adaptive canceller for the reduction of the fundamental powerline interference component and harmonics in electrocardiogram (ECG) and electrocardiograph (EEG) recordings. In this new ECG and EEG denoising approach is used an affine projection (AP) algorithm based on Gauss-Seidel method. The results show that the proposed method is able to reduce powerline interference from the noisy ECG and EEG signals more accurately and consistently in comparison to some of the state of-the-art methods. Furthermore, AP can be efficiently used with very low signal-to-noise ratios, while preserving original signal waveform. Springer Science+Business Media New York, 2014 Electroencephalogram nationallicence Electrocardiogram nationallicence Powerline nationallicence Biomedical signals nationallicence Affine filter nationallicence Electromagnetic interference nationallicence Torres A. Polytechnic School, University of Castilla-La Mancha, Cuenca, Spain aut Mateo J. Polytechnic School, University of Castilla-La Mancha, Cuenca, Spain aut García M. Clinical Neurophysiology Service, Virgen de la Luz Hospital, Cuenca, Spain aut Santos J. Clinical Psychiatry Service, Virgen de la Luz Hospital, Cuenca, Spain aut Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/4(2015-04-01), 1249-1264 0278-081X 34:4<1249 2015 34 34 https://doi.org/10.1007/s00034-014-9890-6 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00034-014-9890-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Torres A. Polytechnic School, University of Castilla-La Mancha, Cuenca, Spain aut NATIONALLICENCE 700 1- Mateo J. Polytechnic School, University of Castilla-La Mancha, Cuenca, Spain aut NATIONALLICENCE 700 1- García M. Clinical Neurophysiology Service, Virgen de la Luz Hospital, Cuenca, Spain aut NATIONALLICENCE 700 1- Santos J. Clinical Psychiatry Service, Virgen de la Luz Hospital, Cuenca, Spain aut NATIONALLICENCE 773 0- Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/4(2015-04-01), 1249-1264 0278-081X 34:4<1249 2015 34 34