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A novel approach for cardiac pathology detection using phonocardiogram signal multifractal detrended fluctuation analysis and support vector machine classification
PurposeThe aim of this study is to develop a reliable method for assisting doctors in the early detection and diagnosis of heart disease by analyzing...
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Multifractal detrended fluctuation analysis of insole pressure sensor data to diagnose vestibular system disorders
The vestibular system (VS) is a sensory system that has a vital function in human life by serving to maintain balance. In this study, multifractal...
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Multiscale-Multifractal Assessment of Heart Rate Variability in Shift Workers by Detrended Fluctuation Analysis
Alteration of the circadian rhythm of the sleep-wake cycle is observed in shift workers, causing sleep disorders and changes in the cardiac autonomic...
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Diagnosis of rolling element bearing based on multifractal detrended fluctuation analyses and continuous hidden markov model
The conventional signal processing based methods are difficult to achieve satisfactory results for rolling element bearings (REBs)’ weak fault due to...
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Multifractal detrended fluctuation analysis based on optimized empirical mode decomposition for complex signal analysis
Multifractal detrended fluctuation analysis (MFDFA) is a powerful tool to uncover nature of complex signals. However, MFDFA runs into difficulties in...
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Tool condition monitoring in milling process using multifractal detrended fluctuation analysis and support vector machine
Tool wear will lead to the reduction of surface quality and machining accuracy. Therefore, tool condition monitoring is vital to the improvement of...
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Automated Analysis of the Oximetry Signal to Simplify the Diagnosis of Pediatric Sleep Apnea From Feature-Engineering to Deep-Learning Approaches
This book describes the application of novel signal processing algorithms to improve the diagnostic capability of the blood oxygen saturation signal...
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Research on Multifractal Scale Characteristics of Significant Wave Height Time Series
The multifractal detrended fluctuation analysis (MF-DFA) method is used to analyze the significant wave height time series to study the scale...
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Wavelet-based discrimination of isolated singularities masquerading as multifractals in detrended fluctuation analyses
The robustness of two widespread multifractal analysis methods, one based on detrended fluctuation analysis and one on wavelet leaders, is discussed...
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Machine Learning for Malware Analysis in Embedded Systems
Embedded systems are resource-constrained and therefore cannot sustain running advanced security software on-board, which makes them an ideal target...
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Analysis of Cardiorespiratory Variations During Sleep in Shift Workers by Univariate and Multivariate Detrended Fluctuation Analysis
This paper presents a study of the heart rate variability (HRV) and respiratory rate variability (RRV) during daytime and nighttime sleep,...
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The Analysis of Multifractal Cross-Correlation Connectedness Between Bitcoin and the Stock Market
In this study, we examine the multifractal cross-correlation relationships between stock and cryptocurrency markets. The measures of complexity which...
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A Fractal Approach to Characterize Emotions in Audio and Visual Domain: A Study on Cross-Modal Interaction
In this paper, we try to classify the emotional cues of sound and visual stimuli solely from their source characteristics, i.e., from the 1D time...
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EEG Signal Analysis During Stroop Task for Checking the Effect of Sleep Deprivation
Studies suggest that eight hours of sleep is important for the brain to function properly. Sleep deprivation may affect individual’s health and...
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Analysis of Arc Faults and Utility Disturbances in a Multiple Photovoltaic-Based DC Ring Microgrid by Using Improved MFDFA
This paper presents a new approach for arc fault and utility disturbance detection and classification in a multiple photovoltaic-based DC ring...
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Multifractal signal generation by cascaded chaotic systems and their analog electronic realization
Multifractality, that is, self-similarity where in scaling follows a continuous spectrum of exponents, is a ubiquitous property of the morphology and...
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Acoustic and Neural Signatures of Event Construals in Bengali
The neuro-cognitive appraisal of different linguistic constructions is an ongoing global research agenda, being pursued in different disciplines of...
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Correlation analysis of cavitation-induced pressure pulsation and vibration in a bulb turbine
Cavitation is one of the main causes of deteriorating stability of bulb turbines. To enhance their stability, this study examines the effects of...
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Nonlinear fluctuation behaviors of complex voter financial price dynamics on small-world network
To simulate the price fluctuation dynamics of financial markets, a novel financial price model is developed by the voter dynamic system on the...
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The Detrended Fluctuation Analysis of EEG Signals: A Meditation-Based Study
The Detrended Fluctuation Analysis is a widely used method for analysis of non-stationary time series which has been applied to EEG signals. The...