2010
DOI: 10.1155/2010/459213
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Time-Frequency Characterization of Cerebral Hemodynamics of Migraine Sufferers as Assessed by NIRS Signals

Abstract: Near-infrared spectroscopy (NIRS) is a noninvasive system for the real-time monitoring of the concentration of oxygenated (O 2 Hb) and reduced (HHb) hemoglobin in the brain cortex. O 2 Hb 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 powe… Show more

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Cited by 11 publications
(8 citation statements)
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“…In conclusion, we propose the joint approach of NIRS recordings, time and time-frequency analysis, and supervised/unsupervised clustering techniques as suitable in physiological and neuroscience experimental protocols [9,10]. …”
Section: Resultsmentioning
confidence: 99%
“…In conclusion, we propose the joint approach of NIRS recordings, time and time-frequency analysis, and supervised/unsupervised clustering techniques as suitable in physiological and neuroscience experimental protocols [9,10]. …”
Section: Resultsmentioning
confidence: 99%
“…NIRS data were processed with a time-frequency distribution D xx ( t , f ) belonging to Cohen's class, and the Choi-Williams (CW) distribution was used as kernel with selectivity set to 0.5 to preserve a suitable compromise between lower attenuation of interference terms, and cleaner representation. A complete description of the custom developed time-frequency toolbox and of the processing technique is available [27]. Briefly, this toolbox firstly computes the instantaneous autocorrelation function of a time series x [ n ], then obtains the corresponding ambiguity function by an inverse Fourier transform, applies the CW kernel, and finally obtains the D xx ( t , f ) by a double Fourier transform from the lags to the time and frequency variables.…”
Section: Methodsmentioning
confidence: 99%
“…These different properties, the concentration of each haemoglobin type, can be easily estimated by irradiating the tissue at two separate wavelengths [16]. Features extracted from NIRS recordings of diabetics during exercise have proven to be useful to assess the neuromuscular and peripheral pattern [17].…”
Section: Introductionmentioning
confidence: 99%
“…NIRS signals can typically tend to present a marked nonstationary nature [17,18]. Very low frequency components associated with long-term regulatory mechanisms makes the baseline of the NIRS signals vary [19], and the signal power depends on the local metabolic rate and oxygen consumption.…”
Section: Introductionmentioning
confidence: 99%