An algorithm for automatic interference (artifact) detection is suggested. This algorithm detects interference (artifact) as a component of EEG signals. The algorithm is based on approximation of electrophysiological signal using neural network model decomposition using the wavelet packet transform.
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Translated from Meditsinskaya Tekhnika, Vol. 43, No. 4, 2009, pp. 42–46.
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Abdullaev, N.T., Dyshin, O.A. & Samedova, K.Z. Use of Neural Networks for Identification of Artifacts in Electroencephalographic Signals Decomposed Using Wavelet Packet Transform. Biomed Eng 43, 191–194 (2009). https://doi.org/10.1007/s10527-009-9114-8
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DOI: https://doi.org/10.1007/s10527-009-9114-8