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Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học Journal of Biology đề tài: Research Article Time-Frequency Characterization of Cerebral Hemodynamics of Migraine Sufferers as | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2010 Article ID 459213 10 pages doi 10.1155 2010 459213 Research Article Time-Frequency Characterization of Cerebral Hemodynamics of Migraine Sufferers as Assessed by NIRS Signals Filippo Molinari 1 Samanta Rosati 1 William Liboni 2 Emanuela Negri 2 Ornella Mana 2 Gianni Allais 3 and Chiara Benedetto3 1 Biolab Department of Electronics Polytechnic of Turin 10129 Torino Italy 2 Department of Neuroscience Gradenigo Hospital 10153 Turin Italy 3 Women s Headache Center Department of Gynecology and Obstetrics University of Torino 10126 Torino Italy Correspondence should be addressed to Filippo Molinari filippo.molinari@polito.it Received 31 December 2009 Accepted 24 June 2010 Academic Editor L. F. Chaparro Copyright 2010 Filippo Molinari et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Near-infrared spectroscopy NIRS is a noninvasive system for the real-time monitoring of the concentration of oxygenated O2Hb and reduced HHb hemoglobin in the brain cortex. O2Hb and HHb concentrations vary in response to cerebral autoregulation. Sixty-eight women 14 migraineurs without aura 49 migraineurs with aura and 5 controls performed breathholding and hyperventilation during NIRS recordings. Signals were processed using the Choi-Williams time-frequency transform in order to measure the power variation of the very-low frequencies VLF 20-40 mHz and of the low frequencies LF 40-140mHz . Results showed that migraineurs without aura present different LF and VLF power levels than controls and migraineurs with aura. The accurate power measurement of the time-frequency analysis allowed for the discrimination of the subjects hemodynamic patterns. The time-frequency analysis of NIRS signals can be used in clinical practice to assess cerebral