Multi-channel Fourier packet transform of EEG: optimal representation and time-varying coherence

Multi-channel recording of electroencephalogram (EEG) provides a measure of spatial-temporal pattern of cognitive processes. When oscillatory activities are going to be studied, the time-domain EEG signal can be analyzed via Fourier or wavelet transform. However the loss of temporal information after Fourier transform and the unavailability of phase information in wavelet transform limit their applicability in EEG analysis. In this paper, multi-channel Fourier packet transform is introduced. The algorithm resembles the wavelet packet transform by its binary tree search for an optimal selection of orthogonal basis, but extends the application to the multi-channel scenario. It aims to provide a sparse signal representation to localize features in the spatial-spectral-temporal domain. Since the decomposed atoms are spatially coherent components, analysis of time-varying synchrony across scalp locations is then possible.published_or_final_versio

A demonstration of Uncorrelated Component Analysis for estimating nitric oxide ESR spectra

ESR spectroscopy often suffers the problem of spectral overlapping which made the identification and quantification of the spectra of interest very difficult, and this is the case for nitric oxide (NO) detection in animal model. Uncorrelated Component Analysis (UCA) method is demonstrated in this work to estimate two kinds of real-world NO-adduct spectra from their detected spectral mixtures. Results show that relatively “pure” NO-adduct spectra were extracted by UCA. Compared to traditional signal subtraction method with one component must being known, this method requires no previous knowledge of any components, thus is much easier to perform.published_or_final_versio

Second order statistics based blind source separation for artifact correction of short ERP epochs

ERP is commonly obtained by averaging over segmented EEC epochs. In case artifacts are present in the raw EEC measurement, pre-processing is required to prevent the averaged ERP waveform being interfered by artifacts. The simplest pre-processing approach is by rejecting trials in which presence of artifact is detected. Alternatively artifact correction instead of rejection can be performed by blind source separation, so that waste of ERP trials is avoided. In this paper, we propose a second order statistics based blind source separation approach to ERP artifact correction. Comparing with blind separation using independent component analysis, second order statistics based method does not rely on higher order statistics or signal entropy, and therefore leads to more robust separation even if only short epochs are available.published_or_final_versio

An improved method for discriminating ECG signals using typical nonlinear dynamic parameters and recurrence quantification analysis in cardiac disease therapy

The discrimination of ECG signals using nonlinear dynamic parameters is of crucial importance in the cardiac disease therapy and chaos control for arrhythmia defibrillation in the cardiac system. However, the discrimination results of previous studies using features such as maximal Lyapunov exponent (λ max) and correlation dimension (D 2) alone are somewhat limited in recognition rate. In this paper, improved methods for computing λ max and D 2 are purposed. Another parameter from recurrence quantification analysis is incorporated to the new multi-feature Bayesian classifier with λ max and D 2 so as to improve the discrimination power. Experimental results have verified the prediction using Fisher discriminant that the maximal vertical line length (V max) from recurrence quantification analysis is the best to distinguish different ECG classes. Experimental results using the MIT-BIH Arrhythmia Database show improved and excellent overall accuracy (96.3%), average sensitivity (96.3%) and average specificity (98.15%) for discriminating sinus, premature ventricular contraction and ventricular flutter signals. © 2005 IEEE.published_or_final_version27th Annual International Conference of the Engineering in Medicine and Biology Society (IEEE-EMBS 2005), Shanghai, 17-18 January 2006. In Conference Proceedings of IEEE Engineering in Medicine and Biology Society, 2005, p. 2459-246

Real time detectionn of nitric oxide in the blood of rats following renal ischemia by ESR spectroscopy

Poster Session: no. 2555The objective of this study was to directly assess NO flux in response to intense renal ischemia-reperfusion process. For real time monitoring, endogenous hemoglobin was employed as a natural spin-trap, and HbNO signal for renal venous blood was observed by ESR spectroscopy. We found that after an intense renal ischemia (1 h), blood NO concentration increased and could be detected by ESR hemoglobin trapping during 6 hours of observation. NO release gradually increased during reperfusion, and reached a plateau approximately from 2 h reperfusion. This result may aid to clarify the precise role of postischaemic NO and the relevant mechanism.published_or_final_versio

Nitric oxide (NO) levels in exhaled air, sputum, serum, saliva, and urine of bronchiectasis subjects: a comparision study

Session - Respiratory & Critical Care Medicine: no. S-RC-1published_or_final_versio

Downregulation of endothelin (ET)-1 and interleukin (IL)-8 expression in human respiratory mucosa by Pseudomonas aeruginosa pyocyanin (pyo) and 1-hydroxy-phenazine (HP)

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Exhaled nitric oxide (NO) levels in steady state bronchiectasis: a prospective systematic study

Session - Respiratory & Critical Care Medicine: no. S-RC-2published_or_final_versio

Thermodynamics of a class of non-asymptotically flat black holes in Einstein-Maxwell-Dilaton theory

We analyse in detail the thermodynamics in the canonical and grand canonical ensembles of a class of non-asymptotically flat black holes of the Einstein-(anti) Maxwell-(anti) Dilaton theory in 4D with spherical symmetry. We present the first law of thermodynamics, the thermodynamic analysis of the system through the geometrothermodynamics methods, Weinhold, Ruppeiner, Liu-Lu-Luo-Shao and the most common, that made by the specific heat. The geometric methods show a curvature scalar identically zero, which is incompatible with the results of the analysis made by the non null specific heat, which shows that the system is thermodynamically interacting, does not possess extreme case nor phase transition. We also analyse the local and global stability of the thermodynamic system, and obtain a local and global stability for the normal case for 0<\gamma<1 and for other values of \gamma, an unstable system. The solution where \gamma=0 separates the class of locally and globally stable solutions from the unstable ones.Comment: 18 pages, version accepted for publication in General Relativity and Gravitatio

Anti-inflammatory treatment increased exhaled nitric oxide production on patients with active bronchiectasis

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