Abstract
The paper presents a new fuzzy clustering method with constraint in time domain which may be used to multi-channels biomedical signal analysis. Proposed method makes it possible: 1) to include a natural constraint for signal analysis using fuzzy clustering, that is, the neighbouring samples of signal belong to the same cluster, 2) to incorporate some domain knowledge which yields to a hybrid clustering environment based on simultaneous usage of numerical data and domain knowledge. The paper shows the results of using the multi-channels time-domain-constrained fuzzy c-regression models in analysis of arti_cial signals and the real noised ECG signals.
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Owczarek, A., Gacek, A., Leski, J.M. (2005). Multi-Channels Time-Domain-Constrained Fuzzy c-Regression Models. In: Kurzyński, M., Puchała, E., Woźniak, M., żołnierek, A. (eds) Computer Recognition Systems. Advances in Soft Computing, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32390-2_30
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DOI: https://doi.org/10.1007/3-540-32390-2_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25054-8
Online ISBN: 978-3-540-32390-7
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