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Biomedical Signal and Image Examination with Entropy-Based Techniques

of biomedical signals/images. The book emphasizes various entropy-based image pre-processing methods which are essential for the development of suitable;

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Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

way, helping readers with limited knowledge. Sections cover biomedical signals and machine learning techniques, biomedical signals, such as;

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Biomedical Signal and Image Processing

biomedical information. Addressing the application of standard and novel processing techniques to some of today's principle biomedical signals;

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Signal and Image Processing Techniques for the Development of Intelligent Health

This book comprehensively reviews the various automated and semi-automated signal and image processing techniques, as well as deep-learning;

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Fractals

description of new techniques on physiological signals and images based on the fractal and chaos theory. The aim of this book is to serve as a;

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Fractals

description of new techniques on physiological signals and images based on the fractal and chaos theory. The aim of this book is to serve as a;

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Biomedical Signal Analysis

The book will help assist a reader in the development of techniques for analysis of biomedical signals and computer aided diagnoses with a;

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Principles of Magnetic Resonance Imaging

of biomedical engineering. biophysics. chetnistry. electrical engineering. and radiology with a systematic. in-depth understanding of MRI principles;

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Compression of Biomedical Images and Signals

techniques applied to medical data, including: physiological signals, MRI, X-ray, ultrasound images, static and dynamic volumetric images;

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Signal Processing Techniques for Computational Health Informatics

in biomedical applications, including: bio-signal origin and dynamics, sensors used for data acquisition, artefact and noise removal techniques, feature;

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Deep Learning and Data Labeling for Medical Applications

diagnosis; medical signal-based diagnosis; medical image reconstruction and model selection using deep learning techniques; meta-heuristic;

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Advanced Methods of Biomedical Signal Processing

, biomedical data treatment, medicine, signal processing, system biology, and applied physiology introduce novel techniques and algorithms as well as;

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Biosignal & Medical Image Proc 3Rd E

important new material on nonlinear methods for describing and classifying signals, including entropy-based methods and scaling methods. A full set;

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Image and Signal Processing

filtering and representation, computer vision and pattern recognition, computer graphics, biomedical, and signal processing.;

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Computational Bioengineering and Bioinformatics

-based modeling, multiscale modeling, image processing, data mining, biomedical decision-support systems, signal processing, biomaterials and;

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Computational Bioengineering and Bioinformatics

-based modeling, multiscale modeling, image processing, data mining, biomedical decision-support systems, signal processing, biomaterials and;

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Advances in Computational Techniques for Biomedical Image Analysis

Advances in Computational Techniques for Biomedical Image Analysis: Methods and Applications focuses on post-acquisition challenges;

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Nonlinear Biomedical Signal Processing

coverage of nonlinear signal and image processing techniques. Nonlinear Biomedical Signal Processing: Volume II combines analytical and biological;

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Compressed Sensing for Magnetic Resonance Image Reconstruction

-channel MRI and the interesting challenges consequently thrown up in signal reconstruction. Off-line and on-line techniques in dynamic MRI;

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Bioelectrical Signal Processing in Cardiac and Neurological Applications

potentials, EMG) Covers both classical and recent signal processing techniques Emphasis on model-based statistical signal;

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Optimisation in Signal and Image Processing

This book describes the optimization methods most commonly encountered in signal and image processing: artificial evolution and Parisian;

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Surface Imaging for Biomedical Applications

Based on hospital clinical trials examining the use of signal and image processing techniques, Surface Imaging for Biomedical Applications;

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Biomedical Image Segmentation

diagnostic techniques. A large variety of different imaging techniques, each with its own physical principle and characteristics (e.g., noise;

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Computational Intelligence and Biomedical Signal Processing

This book presents an interdisciplinary paradigms of computational intelligence techniques and biomedical signal processing. The;

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Biomedical Signal Processing for Healthcare Applications

This book examines the use of biomedical signal processing-EEG, EMG, and ECG-in analyzing and diagnosing various medical conditions;

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Biomedical Image Segmentation

diagnostic techniques. A large variety of different imaging techniques, each with its own physical principle and characteristics (e.g., noise;

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Improved Signal and Image Interpolation in Biomedical Applications

approximation properties of the interpolation function regardless of its dimensionality or degree. Improved Signal and Image Interpolation in Biomedical;

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