This text covers biomedical engineering, including: developments in instrumentation; neurotechnology; rehabilitation engineering; imaging signal and image processing; the cardiac system; the neuromuscular system; sensory systems; physiological system modelling; and measurement techniques.

This book examines the use of biomedical signal processing—EEG, EMG, and ECG—in analyzing and diagnosing various medical conditions, particularly diseases related to the heart and brain. In combination with machine learning tools and other optimization methods, the analysis of biomedical signals greatly benefits the healthcare sector by improving patient outcomes through early, reliable detection. The discussion of these modalities promotes better understanding, analysis, and application of biomedical signal processing for specific diseases. The major highlights of Biomedical Signal Processing for Healthcare Applications include biomedical signals, acquisition of signals, pre-processing and analysis, post-processing and classification of the signals, and application of analysis and classification for the diagnosis of brain- and heart-related diseases. Emphasis is given to brain and heart signals because incomplete interpretations are made by physicians of these aspects in several situations, and these partial interpretations lead to major complications. FEATURES Examines modeling and acquisition of biomedical signals of different disorders Discusses CAD-based analysis of diagnosis useful for healthcare Includes all important modalities of biomedical signals, such as EEG, EMG, MEG, ECG, and PCG Includes case studies and research directions, including novel approaches used in advanced healthcare systems This book can be used by a wide range of users, including students, research scholars, faculty, and practitioners in the field of biomedical engineering and medical image analysis and diagnosis.

This book is the first attempt at bringing together a volume of work from a range of professionals with an interest in spasticity. The framework for the definition was developed in part by the authors contributing chapters that make up this volume. The book represents the current "state-of-the-art" regarding definition, measurement, pathophysiology (all state-of-the-art summaries) and simultaneously gives clinicians guidance on clinical management. This work combines coverage of both spasticity and contractures as these two phenomena are often closely interrelated. Current researchers do not differentiate between these individual impairments and, as such, there is significant confusion in the literature. This book discusses both conditions and then separates them into their respective components. If these two conditions co-exist (which is generally the case), then the management of a patient will need to be customized to individual clinical presentation. The clinical sections of the book are all written by currently practicing, and research active, clinicians, and the earlier chapters are written by researchers currently working on spasticity. In summary, this book: Provides information that is clinically relevant and strongly researched Includes clinical studies covering both spasticity and contractures, which is unique Presents editors and contributors that are world-class experts Takes a cookbook approach to measurements in clinical studies and research Contains extensive references that are included at the end of each chapter

First multi-year cumulation covers six years: 1965-70.

Stemming from environmental, genetic, and situational factors, chronic disease is a critical concern in modern medicine. Managing treatment and controlling symptoms is imperative to the longevity and quality of life of patients with such diseases. The Handbook of Research on Trends in the Diagnosis and Treatment of Chronic Conditions features current research on the diagnosis, monitoring, management, and treatment of recurring diseases such as diabetes, Parkinson's disease, autoimmune disorders, and others. This handbook is intended for practitioners and researchers across various disciplines including, but not limited to, biology, biomedical engineering, computer science, and information and communication technologies. Aimed at identifying new disease determinants and the way in which new technologies can contribute to improved health outcomes, this handbook covers a variety of topics, including wearable and mobile technologies, capillaroscopy imaging, diagnostic and monitoring methods, and disease prediction modeling, among others.