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This book (vol. 2) presents the proceedings of the IUPESM World Congress on Biomedical Engineering and Medical Physics, a triennially organized joint meeting of medical physicists, biomedical engineers and adjoining health care professionals. Besides the purely scientific and technological topics, the 2018 Congress will also focus on other aspects of professional involvement in health care, such as education and training, accreditation and certification, health technology assessment and patient safety. The IUPESM meeting is an important forum for medical physicists and biomedical engineers in medicine and healthcare learn and share knowledge, and discuss the latest research outcomes and technological advancements as well as new ideas in both medical physics and biomedical engineering field.
The book focuses on biomedical innovations related to the diagnosis and treatment of sleep apnea. The latest diagnostic tools are described, including sleep laboratory equipment, wearables, and even smartphone apps. Innovative medical devices for treatment are also covered, such as CPAP, Auto-PAP, hypoglossal nerve stimulation, phrenic nerve stimulation, acoustic brain stimulation and electrical brain stimulation. This is an ideal book for biomedical engineers, pneumologists, neurologists, cardiologists, physiologists, ENT physicians, pediatrics, and epidemiologists who are interested in learning about the latest technologies in treating and diagnosing sleep apnea. Chapter 12 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
This book describes the application of novel signal processing algorithms to improve the diagnostic capability of the blood oxygen saturation signal (SpO2) from nocturnal oximetry in the simplification of pediatric obstructive sleep apnea (OSA) diagnosis. For this purpose, 3196 SpO2 recordings from three different databases were analyzed using feature-engineering and deep-learning methodologies. Particularly, three novel feature extraction algorithms (bispectrum, wavelet, and detrended fluctuation analysis), as well as a novel deep-learning architecture based on convolutional neural networks are proposed. The proposed feature-engineering and deep-learning models outperformed conventional fea...
This book is a printed edition of the Special Issue "Evaluation of Systems’ Irregularity and Complexity: Sample Entropy, Its Derivatives, and Their Applications across Scales and Disciplines" that was published in Entropy
This book aims at informing on new trends, challenges and solutions, in the multidisciplinary field of biomedical engineering. It covers traditional biomedical engineering topics, as well as innovative applications such as artificial intelligence in health care, tissue engineering , neurotechnology and wearable devices. Further topics include mobile health and electroporation-based technologies, as well as new treatments in medicine. Gathering the proceedings of the 8th European Medical and Biological Engineering Conference (EMBEC 2020), held on November 29 - December 3, 2020, in Portorož, Slovenia, this book bridges fundamental and clinically-oriented research, emphasizing the role of education, translational research and commercialization of new ideas in biomedical engineering. It aims at inspiring and fostering communication and collaboration between engineers, physicists, biologists, physicians and other professionals dealing with cutting-edge themes in and advanced technologies serving the broad field of biomedical engineering.
Getting the most out of neural networks and related data modelling techniques is the purpose of this book. The text, with the accompanying Netlab toolbox, provides all the necessary tools and knowledge. Throughout, the emphasis is on methods that are relevant to the practical application of neural networks to pattern analysis problems. All parts of the toolbox interact in a coherent way, and implementations and descriptions of standard statistical techniques are provided so that they can be used as benchmarks against which more sophisticated algorithms can be evaluated. Plenty of examples and demonstration programs illustrate the theory and help the reader understand the algorithms and how to apply them.
This comprehensive book pulls together the essential elements needed to assess sleep apnea patients for the transoral robotic surgical approach and how to optimize the surgery. Detailed information on patient selection, pre-operative work up, anesthesiological pre and post-operative management, surgery, complication prevention and management is provided along with background on sleep medicine and sleep surgery. Authored for ENT surgeons, head and neck specialists and neurologists, pneumonologists, sleep doctors as well for anesthesiologists, chapters offer solutions pulled from experts in the field of sleep surgery and information relevant to geographic areas worldwide.