Purpose: The aim of this study was to apply a LempelZiv complexity measure for quantifying biomedical signals and images. Material and methods: We analyzed angiogenic patterns and the signals (the heart rate, the respiration rate and the blood oxygen concentration). Biomedical signals were obtained by means of Internet. Medical images were from Department of Pathophysiology of Pregnancy Medical University of Bialystok. Results: The values of normalized complexity measures for respiratory rate signal are high, what indicates that this time series is close to unstructured randomness. The Lempel-Ziv complexity values for angiogenic patterns were growing with the FIGO stage of disease. Conclusions: Lempel-Ziv complexity may be a very helpful tool in analyzing the signals and images. It can be easily computed from the analysed data.
Authors: Marta Borowska, Edward Oczeretko, A.P. Mazurek, Agnieszka Kitlas Golińska
Publish Year: 2005
