caa a22 4500 475748778 CHVBK 20180406123521.0 cr unu---uuuuu 170329e20000601xx s 000 0 eng 10.1023/A:1005543710588 doi (NATIONALLICENCE)springer-10.1023/A:1005543710588 Autoassociative MLP in Sleep Spindle Detection [Elektronische Daten] [E. Huupponen, A. Värri, S-L. Himanen, J. Hasan, M. Lehtokangas, J. Saarinen] Spindles are one of the most important short-lasting waveforms in sleep EEG. They are the hallmarks of the so-called Stage 2 sleep. Visual spindle scoring is a tedious workload, since there are often a thousand spindles in one all-night recording of some 8 hr. Automated methods for spindle detection typically use some form of fixed spindle amplitude threshold, which is poor with respect to inter-subject variability. In this work a spindle detection system allowing spindle detection without an amplitude threshold was developed. This system can be used for automatic decision making of whether or not a sleep spindle is present in the EEG at a certain point of time. An Autoassociative Multilayer Perceptron (A-MLP) network was employed for the decision making. A novel training procedure was developed to remove inconsistencies from the training data, which was found to improve the system performance significantly. Plenum Publishing Corporation, 2000 sleep EEG nationallicence sleep spindles nationallicence sleep analysis nationallicence automatic detection nationallicence A-MLP nationallicence Huupponen E. Signal Processing Laboratory, Tampere University of Technology, Finland aut Värri A. Signal Processing Laboratory, Tampere University of Technology, Finland aut Himanen S-L Department of Clinical Neurophysiology, Tampere University, Finland Hospital aut Hasan J. Department of Clinical Neurophysiology, Tampere University, Finland Hospital aut Lehtokangas M. Signal Processing Laboratory, Tampere University of Technology, Finland aut Saarinen J. Signal Processing Laboratory, Tampere University of Technology, Finland aut Journal of Medical Systems Kluwer Academic Publishers-Plenum Publishers 24/3(2000-06-01), 183-193 0148-5598 24:3<183 2000 24 10916 https://doi.org/10.1023/A:1005543710588 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1005543710588 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Huupponen E. Signal Processing Laboratory, Tampere University of Technology, Finland aut NATIONALLICENCE 700 1- Värri A. Signal Processing Laboratory, Tampere University of Technology, Finland aut NATIONALLICENCE 700 1- Himanen S-L Department of Clinical Neurophysiology, Tampere University, Finland Hospital aut NATIONALLICENCE 700 1- Hasan J. Department of Clinical Neurophysiology, Tampere University, Finland Hospital aut NATIONALLICENCE 700 1- Lehtokangas M. Signal Processing Laboratory, Tampere University of Technology, Finland aut NATIONALLICENCE 700 1- Saarinen J. Signal Processing Laboratory, Tampere University of Technology, Finland aut NATIONALLICENCE 773 0- Journal of Medical Systems Kluwer Academic Publishers-Plenum Publishers 24/3(2000-06-01), 183-193 0148-5598 24:3<183 2000 24 10916 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer