Multifractality in Biomedical and Health Sciences

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Bol The book begins with an introduction to complexity in biological systems and explains the importance of fractals and multifractals in understanding physiological variability and disease dynamics. It discusses the mathematical foundations of multifractal theory,including scaling laws, power-law relationships, fractal dimensions, and multifractal spectra, providing the theoretical framework necessary for biomedical applications.Advanced multifractal analysis techniques such as box-counting methods, wavelet transforms, and detrended fluctuation analysis are presented in detail, along with their applications in biomedical signal processing and medical image analysis.Special emphasis is placed on cardiovascular sciences and neuroscience. The boo explains how multifractal methods are used to study heart rate variability, blood flow-dynamics, cardiac arrhythmias, neural complexity, EEG signals, epilepsy, Alzheimer's disease, sleep dynamics, and brain-computer interfaces.Throughout the text, real-life biomedical examples demonstrate how multifractal analysis supports disease diagnosis, physiological monitoring, medical imaging,predictive healthcare, and intelligent clinical systems.

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Bol

The book begins with an introduction to complexity in biological systems and explains the importance of fractals and multifractals in understanding physiological variability and disease dynamics. It discusses the mathematical foundations of multifractal theory,including scaling laws, power-law relationships, fractal dimensions, and multifractal spectra, providing the theoretical framework necessary for biomedical applications.Advanced multifractal analysis techniques such as box-counting methods, wavelet transforms, and detrended fluctuation analysis are presented in detail, along with their applications in biomedical signal processing and medical image analysis.Special emphasis is placed on cardiovascular sciences and neuroscience. The boo explains how multifractal methods are used to study heart rate variability, blood flow-dynamics, cardiac arrhythmias, neural complexity, EEG signals, epilepsy, Alzheimer's disease, sleep dynamics, and brain-computer interfaces.Throughout the text, real-life biomedical examples demonstrate how multifractal analysis supports disease diagnosis, physiological monitoring, medical imaging,predictive healthcare, and intelligent clinical systems.

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Pagina's: 56, Paperback, LAP LAMBERT Academic Publishing


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Merk LAP LAMBERT Academic Publishing
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  • 9786209951428
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