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Signal Processing in Medicine and Biology: Innovations in Big Data Processing provides an interdisciplinary look at state-of-the-art innovations in biomedical signal processing, especially as it applies to large data sets and machine learning. Chapters are presented with detailed mathematics and complete implementation specifics so that readers can completely master these techniques. The book presents tutorials and examples of successful applications and will appeal to a wide range of professionals, researchers, and students interested in applications of signal processing, medicine, and biology at the intersection between healthcare, engineering, and computer science. Presents state-of-the-art innovations in biomedical signal processing; Promotes collaboration in signal processing research and biomedicine; Includes tutorials and examples of successful applications.

Biomedical engineering. --- Signal processing. --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Medicine

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This two-volume set (LNCS 13885-13886) constitutes the refereed proceedings of the 23rd Scandinavian Conference on Image Analysis, SCIA 2023, held in Lapland, Finland, in April 2023. The 67 revised papers presented were carefully reviewed and selected from 108 submissions. The contributions are structured in topical sections on datasets and evaluation; action and behaviour recognition; image and video processing, analysis, and understanding; detection, recognition, classification, and localization in 2D and/or 3D; machine learning and deep learning; segmentation, grouping, and shape; vision for robotics and autonomous vehicles; biometrics, faces, body gestures and pose; 3D vision from multiview and other sensors; vision applications and systems.

Signal processing. --- Signal, Speech and Image Processing . --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Image analysis --- Image processing

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This book discusses larger signal amplifiers (denoted as PA). Large signal amplifiers are dealing with signals whose magnitude is such that the operation of the active element can no longer be considered linear. They are usually designed to get as much power gain and efficiency as possible. That is why they are often called power amplifiers. In this book, two implementations of PA are considered. First, it is of interest to obtain large signals (current or voltage) at the output of a cascade of direct coupled amplifiers. In this case, linearity, frequency response, and speed are the most important requirements. Second are real power amplifiers where the power delivered to the load is of primary interest. Of course, efficiency, linearity, and high frequency response are of interest, too. A very special attention is paid to modern power electronic components such as Power BJT, VDMOS, IGBT, SiC MOS, and GaN HEMT. DC and switching properties of all these devices are studied in much detail. This book also includes a set of appendices which cover: solved problems, SPICE simulation results for selected set of circuits, and a short review of microelectronic technology process .

Power electronics. --- Signal processing. --- Solid state physics. --- Power Electronics. --- Digital and Analog Signal Processing. --- Electronic Devices. --- Physics --- Solids --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Electronics, Power --- Electric power --- Electronics

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This professional book offers a unique, comprehensive and timely guide on 3D audio recording. Intended for sound engineers and professionals, and summarizing more than twenty-year research on this topic, it includes extensive information and details on various microphone techniques and loudspeaker layouts, such as Auro-3D®, Dolby® AtmosTM, DTS:X®, MMAD, SONY 360 Reality Audio and Ambisonics. It presents a rich set of results obtained from both objective measurements and subjective listening tests, and a number of case studies for 3D recording, ranging from solo-instrument techniques to full symphony orchestra, and microphone systems for virtual reality applications. Further, it includes a chapter on spatial hearing discussing issues of 3D audio sound reproduction. All in all, this book offers extensive, practical information for sound engineers and professionals.

Signal processing. --- Science—Social aspects. --- Signal, Speech and Image Processing . --- Sound Studies. --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Sound --- Recording and reproducing --- Digital techniques. --- Digital audio --- Digital sound recording --- Digital electronics

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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 features from the oximetry signal, as well as state-of-the-art approaches. On the one hand, this book shows that bispectrum, wavelet, and detrended fluctuation analysis can be used to characterize changes in the SpO2 signal caused by apneic events in pediatric subjects. On the other hand, it demonstrates that deep-learning algorithms can learn complex features from oximetry dynamics that allow to enhance the diagnostic capability of nocturnal oximetry in the context of childhood OSA. All in all, this book offers a comprehensive and timely guide to the use of signal processing and AI methods in the diagnosis of pediatric OSA, including novel methodological insights concerning the automated analysis of the oximetry signal. It also discusses some open questions for future research.

Signal processing. --- Biomedical engineering. --- Machine learning. --- Signal, Speech and Image Processing . --- Biomedical Devices and Instrumentation. --- Machine Learning. --- Learning, Machine --- Artificial intelligence --- Machine theory --- Clinical engineering --- Medical engineering --- Bioengineering --- Biophysics --- Engineering --- Medicine --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication)