Download or read book Multifractal Characterization of Electromyogram Signals written by Tina Ehtiati and published by . This book was released on 1999 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Multifractal Characterization of Electromyogram Signals written by and published by . This book was released on 1901 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis, we present an approach to the characterization and feature extraction of the electromyogram (EMG) signals. This approach is based upon the chaotic behaviour of the EMG signals and the existence of the corresponding strange attractors with low embedding dimensions. The multifractal dimensions of the strange attractors underlying this chaotic behaviour provide alternative features for analyzing the EMG signals. The multifractal dimensions describe how the entropy of these strange attractors changes as the hypervolume scales used for calculating the entropy vary. There are several considerations associated with the reconstruction of the strange attractors and the calculation of the multifractal dimensions from a single variable time series. We discuss how the length and the sampling rate of the time series effect the convergence of the multifractal dimensions. We also discuss the effect of high noise levels in increasing the minimum embedding dimension required for the reconstruction of the strange attractors. The EMG signals under study have been obtained from the anterior, posterior, and middle portions of the deltoid and upper trapezius during isometric contractions, using surface electrodes. The multifractal dimensions of these EMG signals are between 0.5 to 1.5. The experimental results show that the positive moment orders of the multifractal dimensions of the EMG signals can be used for discriminating among three functions of deltoid, i.e. abduction, extension, and flexion. The multifractal dimensions of the EMG of the muscle as a prime mover, are 0.3 larger on average, comparing to the muscle as synergist.
Download or read book Multifractals and Chronic Diseases of the Central Nervous System written by Dipak Ghosh and published by Springer. This book was released on 2019-01-24 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book primarily focuses on the study of various neurological disorders, including Parkinson’s (PD), Huntington (HD), Epilepsy, Alzheimer’s and Motor Neuron Diseases (MND) from a new perspective by analyzing the physiological signals associated with them using non-linear dynamics. The development of nonlinear methods has significantly helped to study complex nonlinear systems in detail by providing accurate and reliable information. The book provides a brief introduction to the central nervous system and its various disorders, their effects on health and quality of life, and their respective courses of treatment, followed by different bioelectrical signals like those detected by Electroencephalography (EEG), Electrocardiography (ECG), and Electromyography (EMG). In turn, the book discusses a range of nonlinear techniques, fractals, multifractals, and Higuchi’s Fractal Dimension (HFD), with mathematical examples and procedures. A review of studies conducted to date on neurological disorders like epilepsy, dementia, Parkinson’s, Huntington, Alzheimer’s, and Motor Neuron Diseases, which incorporate linear and nonlinear techniques, is also provided. The book subsequently presents new findings on neurological disorders of the central nervous system, namely Parkinson’s disease and Huntington’s disease, by analyzing their gait characteristics using a nonlinear fractal based technique: Multifractal Detrended Fluctuation Analysis (MFDFA). In closing, the book elaborates on several parameters that can be obtained from cross-correlation studies of ECG and blood pressure, and can be used as markers for neurological disorders.
Download or read book Computational Intelligence in Electromyography Analysis written by Ganesh R. Naik and published by BoD – Books on Demand. This book was released on 2012-10-17 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electromyography (EMG) is a technique for evaluating and recording the electrical activity produced by skeletal muscles. EMG may be used clinically for the diagnosis of neuromuscular problems and for assessing biomechanical and motor control deficits and other functional disorders. Furthermore, it can be used as a control signal for interfacing with orthotic and/or prosthetic devices or other rehabilitation assists. This book presents an updated overview of signal processing applications and recent developments in EMG from a number of diverse aspects and various applications in clinical and experimental research. It will provide readers with a detailed introduction to EMG signal processing techniques and applications, while presenting several new results and explanation of existing algorithms. This book is organized into 18 chapters, covering the current theoretical and practical approaches of EMG research.
Download or read book Electromyography Signal Analysis and Characterization written by Sazzad Hussain and published by LAP Lambert Academic Publishing. This book was released on 2012-02 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: Electromyography (EMG) signal gives an electrical representation of neuromuscular activation associated with contracting muscle provides information about the performance of muscles and nerves. EMG signal acquires noise while traveling through different tissues. With the appropriate choice of the Wavelet Function (WF), it is possible to remove interference noise. Higher Order Statistics (HOS) can suppress white Gaussian noise in detection, parameter estimation and solve classification problems. Based on the RMS error, it is noticed that WF db2 can perform denoising most effectively among the other WFs (db6, db8, dmey). Power spectrum analysis is performed to the denoised EMG where mean power frequency is calculated to indicate changes in muscle contraction. Gaussianity and linearity tests are conducted to understand changes in muscle contraction. According to the results, increase in muscle contraction provides significant increase in EMG mean power frequency. The study also verifies that the power spectrum of EMG shows a shift to lower frequencies during fatigue. The bispectrum analysis shows that the signal becomes less Gaussian and more linear with increasing muscle force.
Download or read book Electromyography written by Roberto Merletti and published by John Wiley & Sons. This book was released on 2004-07-26 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete overview of electromyography with contributions from pacesetters in the field In recent years, insights from the field of engineering have illuminated the vast potential of electromyography (EMG) in biomedical technology. Featuring contributions from key innovators working in the field today, Electromyography reveals the broad applications of EMG data in areas as diverse as neurology, ergonomics, exercise physiology, rehabilitation, movement analysis, biofeedback, and myoelectric control of prosthesis. Bridging the gap between engineering and physiology, this pioneering volume explains the essential concepts needed to detect, understand, process, and interpret EMG signals using non-invasive electrodes. Electromyography shows how engineering tools such as models and signal processing methods can greatly augment the insight provided by surface EMG signals. Topics covered include: Basic physiology and biophysics of EMG generation Needle and surface electrode detection techniques Signal conditioning and processing issues Single- and multi-channel techniques for information extraction Development and application of physical models Advanced signal processing techniques With its fresh engineering perspective, Electromyography offers physiologists, medical professionals, and students in biomedical engineering a new window into the far-reaching possibilities of this dynamic technology.
Download or read book Spectral Analysis of Electromyogram Signals Using Autoregressive Models written by Estell Lopez and published by . This book was released on 1990 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Biomedical Signal Analysis written by Rangaraj M. Rangayyan and published by John Wiley & Sons. This book was released on 2015-06-08 with total page 722 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book will help assist a reader in the development of techniques for analysis of biomedical signals and computer aided diagnoses with a pedagogical examination of basic and advanced topics accompanied by over 350 figures and illustrations. Wide range of filtering techniques presented to address various applications 800 mathematical expressions and equations Practical questions, problems and laboratory exercises Includes fractals and chaos theory with biomedical applications
Download or read book Assessing Complexity in Physiological Systems through Biomedical Signals Analysis written by Paolo Castiglioni and published by MDPI. This book was released on 2021-03-02 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complexity is a ubiquitous phenomenon in physiology that allows living systems to adapt to external perturbations. Fractal structures, self-organization, nonlinearity, interactions at different scales, and interconnections among systems through anatomical and functional networks, may originate complexity. Biomedical signals from physiological systems may carry information about the system complexity useful to identify physiological states, monitor health, and predict pathological events. Therefore, complexity analysis of biomedical signals is a rapidly evolving field aimed at extracting information on the physiological systems. This book consists of 16 contributions from authors with a strong scientific background in biomedical signals analysis. It includes reviews on the state-of-the-art of complexity studies in specific medical applications, new methods to improve complexity quantifiers, and novel complexity analyses in physiological or clinical scenarios. It presents a wide spectrum of methods investigating the entropic properties, multifractal structure, self-organized criticality, and information dynamics of biomedical signals touching upon three physiological areas: the cardiovascular system, the central nervous system, the heart-brain interactions. The book is aimed at experienced researchers in signal analysis and presents the latest trends in the complexity methods in physiology and medicine with the hope of inspiring future works advancing this fascinating area of research.
Download or read book Multifractal Analysis of Various Signals written by Ban Trach Quach and published by . This book was released on 1994 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The New Frontier of Network Physiology From Temporal Dynamics to the Synchronization and Principles of Integration in Networks of Physiological Systems written by Plamen Ch. Ivanov and published by Frontiers Media SA. This book was released on 2022-02-17 with total page 842 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Complementary Therapies written by Mario Bernardo-Filho and published by BoD – Books on Demand. This book was released on 2022-07-06 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Traditional, complementary, and integrative medicine are terms used to try to define practices in the maintenance of health as well as in the prevention, diagnosis, and management of physical and mental conditions. These practices are based on the knowledge, skill, theories, beliefs, and experiences acquired by different cultures in the world throughout the years. This book presents a comprehensive overview of the qualities and applications of complementary therapies. It includes thirteen chapters in four sections: “Complementary Therapies and Knowledge of Some Cultural Practices,” “Complementary Therapies and Mental Disorders,” “Complementary Therapies and Clinical Rehabilitation,” and “Complementary Therapies, Technologic and Science Perspectives.”
Download or read book Biomedical Engineering and its Applications in Healthcare written by Sudip Paul and published by Springer Nature. This book was released on 2019-11-08 with total page 738 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book illustrates the significance of biomedical engineering in modern healthcare systems. Biomedical engineering plays an important role in a range of areas, from diagnosis and analysis to treatment and recovery and has entered the public consciousness through the proliferation of implantable medical devices, such as pacemakers and artificial hips, as well as the more futuristic technologies such as stem cell engineering and 3-D printing of biological organs. Starting with an introduction to biomedical engineering, the book then discusses various tools and techniques for medical diagnostics and treatment and recent advances. It also provides comprehensive and integrated information on rehabilitation engineering, including the design of artificial body parts, and the underlying principles, and standards. It also presents a conceptual framework to clarify the relationship between ethical policies in medical practice and philosophical moral reasoning. Lastly, the book highlights a number of challenges associated with modern healthcare technologies.
Download or read book Computational Intelligence in Biomedical Engineering written by Rezaul Begg and published by CRC Press. This book was released on 2007-12-04 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: As in many other fields, biomedical engineers benefit from the use of computational intelligence (CI) tools to solve complex and non-linear problems. The benefits could be even greater if there were scientific literature that specifically focused on the biomedical applications of computational intelligence techniques. The first comprehensive field-
Download or read book Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques written by Abdulhamit Subasi and published by Academic Press. This book was released on 2019-03-16 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques: A MATLAB Based Approach presents how machine learning and biomedical signal processing methods can be used in biomedical signal analysis. Different machine learning applications in biomedical signal analysis, including those for electrocardiogram, electroencephalogram and electromyogram are described in a practical and comprehensive way, helping readers with limited knowledge. Sections cover biomedical signals and machine learning techniques, biomedical signals, such as electroencephalogram (EEG), electromyogram (EMG) and electrocardiogram (ECG), different signal-processing techniques, signal de-noising, feature extraction and dimension reduction techniques, such as PCA, ICA, KPCA, MSPCA, entropy measures, and other statistical measures, and more. This book is a valuable source for bioinformaticians, medical doctors and other members of the biomedical field who need a cogent resource on the most recent and promising machine learning techniques for biomedical signals analysis. Provides comprehensive knowledge in the application of machine learning tools in biomedical signal analysis for medical diagnostics, brain computer interface and man/machine interaction Explains how to apply machine learning techniques to EEG, ECG and EMG signals Gives basic knowledge on predictive modeling in biomedical time series and advanced knowledge in machine learning for biomedical time series
Download or read book Fractal and Multifractal Facets in the Structure and Dynamics of Physiological Systems and Applications to Homeostatic Control Disease Diagnosis and Integrated Cyber Physical Platforms written by Paul Bogdan and published by Frontiers Media SA. This book was released on 2020-06-25 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Widespread chronic diseases (e.g., heart diseases, diabetes and its complications, stroke, cancer, brain diseases) constitute a significant cause of rising healthcare costs and pose a significant burden on quality-of-life for many individuals. Despite the increased need for smart healthcare sensing systems that monitor / measure patients’ body balance, there is no coherent theory that facilitates the modeling of human physiological processes and the design and optimization of future healthcare cyber-physical systems (HCPS). The HCPS are expected to mine the patient’s physiological state based on available continuous sensing, quantify risk indices corresponding to the onset of abnormality, signal the need for critical medical intervention in real-time by communicating patient’s medical information via a network from individual to hospital, and most importantly control (actuate) vital health signals (e.g., cardiac pacing, insulin level, blood pressure) within personalized homeostasis. To prevent health complications, maintain good health and/or avoid fatal conditions calls for a cross-disciplinary approach to HCPS design where recent statistical-physics inspired discoveries done by collaborations between physicists and physicians are shared and enriched by applied mathematicians, control theorists and bioengineers. This critical and urgent multi-disciplinary approach has to unify the current state of knowledge and address the following fundamental challenges: One fundamental challenge is represented by the need to mine and understand the complexity of the structure and dynamics of the physiological systems in healthy homeostasis and associated with a disease (such as diabetes). Along the same lines, we need rigorous mathematical techniques for identifying the interactions between integrated physiologic systems and understanding their role within the overall networking architecture of healthy dynamics. Another fundamental challenge calls for a deeper understanding of stochastic feedback and variability in biological systems and physiological processes, in particular, and for deciphering their implications not only on how to mathematically characterize homeostasis, but also on defining new control strategies that are accounting for intra- and inter-patient specificity – a truly mathematical approach to personalized medicine. Numerous recent studies have demonstrated that heart rate variability, blood glucose, neural signals and other interdependent physiological processes demonstrate fractal and non-stationary characteristics. Exploiting statistical physics concepts, numerous recent research studies demonstrated that healthy human physiological processes exhibit complex critical phenomena with deep implications for how homeostasis should be defined and how control strategies should be developed when prolonged abnormal deviations are observed. In addition, several efforts have tried to connect these fractal characteristics with new optimal control strategies that implemented in medical devices such as pacemakers and artificial pancreas could improve the efficiency of medical therapies and the quality-of-life of patients but neglecting the overall networking architecture of human physiology. Consequently, rigorously analyzing the complexity and dynamics of physiological processes (e.g., blood glucose and its associated implications and interdependencies with other physiological processes) represents a fundamental step towards providing a quantifiable (mathematical) definition of homeostasis in the context of critical phenomena, understanding the onset of chronic diseases, predicting deviations from healthy homeostasis and developing new more efficient medical therapies that carefully account for the physiological complexity, intra- and inter-patient variability, rather than ignoring it. This Research Topic aims to open a synergetic and timely effort between physicians, physicists, applied mathematicians, signal processing, bioengineering and biomedical experts to organize the state of knowledge in mining the complexity of physiological systems and their implications for constructing more accurate mathematical models and designing QoL-aware control strategies implemented in the new generation of HCPS devices. By bringing together multi-disciplinary researchers seeking to understand the many aspects of human physiology and its complexity, we aim at enabling a paradigm shift in designing future medical devices that translates mathematical characteristics in predictable mathematical models quantifying not only the degree of homeostasis, but also providing fundamentally new control strategies within the personalized medicine era.
Download or read book Bio Locomotion Interfaces and Biologization Potential in 4 D Printing written by Abdel-Aal, Hisham A. and published by IGI Global. This book was released on 2024-08-29 with total page 642 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the evolving market of product design, the optimization of surface patterns is a crucial factor in determining the functionality of future products. However, despite numerous surface designs introduced in recent years, the field remains significantly underdeveloped. The absence of systematic and well-defined methodologies for generating deterministic topologies has turned the design of surfaces into more of an art than a precise science. This deficiency is further exacerbated by a dominant design culture that attempts to tame nature rather than establish harmonious coexistence within the Man Engineered Systems Domain (MESD). The challenge lies in the lack of a holistic surface design methodology that can merge function, form, and topography to produce optimized constructs capable of efficient operation within an envelope of constraints. Bio-Locomotion Interfaces and Biologization Potential in 4-D Printing is a comprehensive solution to the challenges faced in biomimetic surface design. This groundbreaking book recognizes the underdeveloped state of the field and proposes a trans-disciplinary approach that seamlessly integrates engineering, physics, and biology. It addresses the need for a new surface design methodology, emphasizing the importance of generating bio-inspired functional surfaces in MESD. Unlike existing approaches that rely on mere bio-mimicry, this book delves into the core of design generation, emphasizing the implementation of design rules rather than the replication of natural constructions. It is the ultimate guide for scholars seeking to bridge the gap between biology and engineering and acquire the methodologies needed to deduce design rules and construct deterministic surfaces inspired by bio-analogues.
