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Multifractal analysis of resting state fMRI series in default mode network: age and gender effects
Age-related changes of resting state in default mode network (DMN) may provide new clues to the develo** mechanism of normal brain as well as early diagnosis and therapy of some neuropsychiatric disorders. T...
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Article
Open AccessComplexity and characteristic frequency studies in ECG signals of mice based on multiple scale factors
Existing methods of physiological signal analysis based on nonlinear dynamic theories only examine the complexity difference of the signals under a single sampling frequency. We developed a technique to measur...
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Article
Multifractal mass exponent spectrum of complex physiological time series
Physiological signal belongs to the kind of nonstationary and time-variant ones. Thus, the nonlinear analysis methods may be better to disclose its characteristics and mechanisms. There have been plenty of evi...
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Article
Sign series entropy analysis of short-term heart rate variability
Complexity and nonlinearity approaches can be used to study the temporal and structural order in heart rate variability (HRV) signal, which is helpful for understanding the underlying rule and physiological es...
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Article
Multiscale analysis of heart beat interval increment series and its clinical significance
Analysis of multiscale entropy (MSE) and multiscale standard deviation (MSD) are performed for both the heart rate interval series and the interval increment series. For the interval series, it is found that, ...
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Article
Nonlinear short-term heart rate variability prediction of spontaneous ventricular tachyarrhythmia
As malign ventricular tachyarrhythmias triggering sudden cardiac death (SCD), both ventricular tachycardia (VT) and ventricular fibrillation (VF) are major causes of mortality. The most efficient therapy for S...
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Article
RETRACTED ARTICLE: A non-commutative time-frequency tomography
The characterization of non-stationary signal requires joint time and frequency information. However, time and frequency are a pair of non-commuting variables that cannot constitute a joint probability density...
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Article
A new measure to characterize multifractality of sleep electroencephalogram
Traditional methods for nonlinear dynamic analysis, such as correlation dimension, Lyapunov exponent, approximate entropy, detrended fluctuation analysis, using a single parameter, cannot fully describe the ex...
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Article
Effect of quercetin on chronic enhancement of spatial learning and memory of mice
In this study we evaluated the effect of quercetin on D-galactose-induced aged mice using the Morris water maze (MWM) test. Based on the free radical theory of aging, experiments were performed to study the possi...
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Article
The SARD variety of multifractality of ventricular epicardial map** during ischemia
We have analyzed cardiac ischemia-reperfusion in an animal model using epicardial electropotential map**. We investigated the relationship between ischemia and variability of multifractality in epicardial el...
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Article
Research progress in nonlinear analysis of heart electric activities
Nonlinear science research is a hot point in the world. It has deepened our cognition of determinism and randomicity, simplicity and complexity, noise and order and it will profoundly influence the progress of...
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Article
The base-scale entropy analysis of short-term heart rate variability signal
The complexity of heart rate variability (HRV) signal can reflect physiological functions and healthy status of heart system. Detecting complexity of the short-term HRV signal has an important practical meanin...
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Article
Mode entropy and dynamical analysis of irregularity for HFECG
A new algorithm—ModEn (mode entropy) is proposed by analyzing and modifying ApEn (approximate entropy), so that the irregular analysis can be applied to the time series of short-term signals with broad amplitu...
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Article
Nonlinearity degree of short-term heart rate variability signal
A nonlinear autoregressive (NAR) model is built to model the heartbeat interval time series and the optimum model degree is proposed to be taken to evaluate the nonlinearity degree of heart rate variability (H...
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Article
Prediction of ventricular fibrillation based on nonlinear multi-parameter
Ventricular fibrillation (VF) caused by myocardial ischemia is one of the leading factors of death attributed to cardiovascular diseases. It is particularly significant to predict VF and gain valuable time for...
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Article
Interleaving distribution of multifractal strength of 16-channel EEG signals
Multifractal characteristics of 16-channel human electroencephalogram (EEG) signals under eye-closed rest are analyzed for the first time. The result shows that the EEGs from the different sites on the scalp h...
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Article
Lyapunov exponents for synchronous 12-lead ECG signals
The Lyapunov exponents of synchronous 12-lead ECG signals have been investigated for the first time using a multi-sensor (electrode) technique. The results show that the Lyapunov exponents computed from differ...
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Article
Distribution of correlation dimensions of synchronous 12-lead ECG signals
Correlation dimensionsD 2 of the synchronous 12-lead ECG signals have been investigated for the first time by distributed multi-sensor (multi-electrode) technique. The results show that correlatio...