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Biopotential signals are often used by physicians to measure the activities of organs and tissues in the human body. This book describes the sources and characteristics of different biopotential signals and provides an understanding of how a range of signals can be modelled and analysed. The resulting information can be used to assist in the identification of disorders such as epilepsy, schizophrenia, PTSD and heart disease, among others. An emphasis is placed on the real challenges in biopotential signal processing due to the complex and non-stationary nature of signals. Following on from Volume 1, this book starts with a collection of chapters covering some of the latest developments in electroencephalography (EEG) signal analysis, then moves on to applications of electrocardiography (ECG) and Otoscope signals. The volume concludes with a discussion of other monitoring techniques. The chapters include biomedical examples and discussions of how each method can be used to study human organs. It is a valuable guide for all researchers and practitioners who are engaged in studies and research in the area of biomedical signals and their applications. Part of IPEM-IOP Series in Physics and Engineering in Medicine and Biology.

Signal processing. --- Biomedical engineering. --- Electrodiagnosis --- Signal Processing, Computer-Assisted. --- Biomedical Engineering --- Biomedical engineering. --- TECHNOLOGY & ENGINEERING / Biomedical. --- methods. --- methods.

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This book looks at analysis and modelling of active biopotential signal processing. It emphasises the real-time challenges in biomedical signal processing that occur due to the complex and non-stationary nature of signals in a variety of applications for analysis, classification and identification of different states for improvement of healthcare systems. The main focus of the book is on modelling; acquisition of biomedical signals for different disorders; implementation of methodologies and their impact on different cases; case studies and research directions; automatic identification of related disorders; design and simulation examples; and issues and challenges. Overall, the book addresses the real-time challenges in biomedical signal processing used in a variety of applications such as analysis, classification and identification of different disorders in healthcare systems. It is a valuable guide for all researchers and practitioners who are engaged in studies and research in the area of biomedical signals and their applications. Part of IPEM-IOP Series in Physics and Engineering in Medicine and Biology.

Signal processing. --- Biomedical engineering. --- Electrodiagnosis --- Signal Processing, Computer-Assisted. --- Biomedical Engineering --- Biomedical engineering. --- TECHNOLOGY & ENGINEERING / Biomedical. --- methods. --- methods.

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More than two million people were affected with multiple sclerosis (MS) worldwide in 2015 with rates varying widely in different regions and among different populations. This book explores the basics of MS, which is the most common immune-mediated disorder affecting the central nervous system. MS is a demyelinating disease in which the insulating covers of nerve cells in the brain and spinal cord are damaged. This damage disrupts the ability of parts of the nervous system to communicate, resulting in a range of signs and symptoms, including physical, mental, and sometimes psychiatric problems. The symptoms of MS will be covered in this book, in addition to active research topics, such as exoskeleton-assisted rehabilitation training, combinational drug therapies, characterization of balance disorders and many more related topics.

Central nervous system --- Central nervous system --- Multiple sclerosis --- Biomedical engineering. --- TECHNOLOGY & ENGINEERING / Biomedical. --- Magnetic resonance imaging. --- Diseases --- Diagnosis. --- Magnetic resonance imaging.

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Biomedical engineering. --- Regenerative medicine. --- Regenerative Medicine. --- Engineering, Biomedical --- Clinical Engineering --- Engineering, Clinical --- Biomedical Technology --- Medicine, Regenerative --- Medicines, Regenerative --- Regenerative Medicines --- Regenerative Endodontics --- Cell- and Tissue-Based Therapy --- Medicine --- Regeneration (Biology) --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering

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Cancer --- Treatment. --- Biomedical engineering. --- Neoplasms --- Biomedical Engineering. --- Biomedical Technology. --- therapy. --- Biomedical Technologies --- Technology, Biomedical --- Technology, Health --- Technology, Health Care --- Health Care Technology --- Health Technology --- Biomedical Engineering --- Medical Informatics --- Engineering, Biomedical --- Clinical Engineering --- Engineering, Clinical --- Biomedical Technology --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Medicine --- Cancer therapy --- Cancer treatment --- Therapy