Sensing And Signal Processing In Smart Healthcare PDF Download
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| Author | : Wenbing Zhao |
| Publisher | : MDPI |
| Total Pages | : 198 |
| Release | : 2021-01-29 |
| Genre | : Technology & Engineering |
| ISBN | : 303650026X |
Download Sensing and Signal Processing in Smart Healthcare Book in PDF, ePub and Kindle
In the last decade, we have witnessed the rapid development of electronic technologies that are transforming our daily lives. Such technologies are often integrated with various sensors that facilitate the collection of human motion and physiological data and are equipped with wireless communication modules such as Bluetooth, radio frequency identification, and near-field communication. In smart healthcare applications, designing ergonomic and intuitive human–computer interfaces is crucial because a system that is not easy to use will create a huge obstacle to adoption and may significantly reduce the efficacy of the solution. Signal and data processing is another important consideration in smart healthcare applications because it must ensure high accuracy with a high level of confidence in order for the applications to be useful for clinicians in making diagnosis and treatment decisions. This Special Issue is a collection of 10 articles selected from a total of 26 contributions. These contributions span the areas of signal processing and smart healthcare systems mostly contributed by authors from Europe, including Italy, Spain, France, Portugal, Romania, Sweden, and Netherlands. Authors from China, Korea, Taiwan, Indonesia, and Ecuador are also included.
| Author | : Wenbing Zhao |
| Publisher | : |
| Total Pages | : 198 |
| Release | : 2021 |
| Genre | : |
| ISBN | : 9783036500270 |
Download Sensing and Signal Processing in Smart Healthcare Book in PDF, ePub and Kindle
In the last decade, we have witnessed the rapid development of electronic technologies that are transforming our daily lives. Such technologies are often integrated with various sensors that facilitate the collection of human motion and physiological data and are equipped with wireless communication modules such as Bluetooth, radio frequency identification, and near-field communication. In smart healthcare applications, designing ergonomic and intuitive human-computer interfaces is crucial because a system that is not easy to use will create a huge obstacle to adoption and may significantly reduce the efficacy of the solution. Signal and data processing is another important consideration in smart healthcare applications because it must ensure high accuracy with a high level of confidence in order for the applications to be useful for clinicians in making diagnosis and treatment decisions. This Special Issue is a collection of 10 articles selected from a total of 26 contributions. These contributions span the areas of signal processing and smart healthcare systems mostly contributed by authors from Europe, including Italy, Spain, France, Portugal, Romania, Sweden, and Netherlands. Authors from China, Korea, Taiwan, Indonesia, and Ecuador are also included.
| Author | : Mahdi Khosravy |
| Publisher | : Academic Press |
| Total Pages | : 308 |
| Release | : 2020-05-18 |
| Genre | : Technology & Engineering |
| ISBN | : 0128212489 |
Download Compressive Sensing in Healthcare Book in PDF, ePub and Kindle
Compressive Sensing in Healthcare, part of the Advances in Ubiquitous Sensing Applications for Healthcare series gives a review on compressive sensing techniques in a practical way, also presenting deterministic compressive sensing techniques that can be used in the field. The focus of the book is on healthcare applications for this technology. It is intended for both the creators of this technology and the end users of these products. The content includes the use of EEG and ECG, plus hardware and software requirements for building projects. Body area networks and body sensor networks are explored. Provides a toolbox for compressive sensing in health, presenting both mathematical and coding information Presents an intuitive introduction to compressive sensing, including MATLAB tutorials Covers applications of compressive sensing in health care
| Author | : Ruqiang Yan |
| Publisher | : Springer |
| Total Pages | : 380 |
| Release | : 2017-04-29 |
| Genre | : Technology & Engineering |
| ISBN | : 331956126X |
Download Structural Health Monitoring Book in PDF, ePub and Kindle
This book highlights the latest advances and trends in advanced signal processing (such as wavelet theory, time-frequency analysis, empirical mode decomposition, compressive sensing and sparse representation, and stochastic resonance) for structural health monitoring (SHM). Its primary focus is on the utilization of advanced signal processing techniques to help monitor the health status of critical structures and machines encountered in our daily lives: wind turbines, gas turbines, machine tools, etc. As such, it offers a key reference guide for researchers, graduate students, and industry professionals who work in the field of SHM.
| Author | : Chaurasiya, Rahul Kumar |
| Publisher | : IGI Global |
| Total Pages | : 322 |
| Release | : 2022-05-27 |
| Genre | : Technology & Engineering |
| ISBN | : 1668439484 |
Download AI-Enabled Smart Healthcare Using Biomedical Signals Book in PDF, ePub and Kindle
Technological advancements have enhanced all functions of society and revolutionized the healthcare field. Smart healthcare applications and practices have grown within the past decade, strengthening overall care. Biomedical signals observe physiological activities, which provide essential information to healthcare professionals. Biomedical signal processing can be optimized through artificial intelligence (AI) and machine learning (ML), presenting the next step towards smart healthcare. AI-Enabled Smart Healthcare Using Biomedical Signals will not only cover the mathematical description of the AI- and ML-based methods, but also analyze and demonstrate the usability of different AI methods for a range of biomedical signals. The book covers all types of biomedical signals helpful for smart healthcare applications. Covering topics such as automated diagnosis, emotion identification, and frequency discrimination techniques, this premier reference source is an excellent resource for healthcare administration, biomedical engineers, medical laboratory technicians, medical technology assistants, computer scientists, libraries, students and faculty of higher education, researchers, and academicians.
| Author | : Chinmay Chakraborty |
| Publisher | : Medical Information Science Reference |
| Total Pages | : 0 |
| Release | : 2019-08-19 |
| Genre | : Medical care |
| ISBN | : 9781799802617 |
Download Smart Medical Data Sensing and IoT Systems Design in Healthcare Book in PDF, ePub and Kindle
"This book examines the use of the Internet of Things systems in the healthcare system"--Provided by publisher.
| Author | : Ayan Kumar Panja |
| Publisher | : Academic Press |
| Total Pages | : 168 |
| Release | : 2022-06-02 |
| Genre | : Technology & Engineering |
| ISBN | : 0128230738 |
Download Biomedical Sensors and Smart Sensing Book in PDF, ePub and Kindle
Biomedical Sensors and Smart Sensing: A Beginner’s Guide, a book in the 10-volume Primers in Biomedical Imaging Devices and Systems series, covers a wide range of interdisciplinary applications in imaging modalities, nuclear medicine, computed tomographic systems, x-ray systems, magnetic resonance imaging, ultrasound, and virtual reality. The series explores the essential fundamental techniques required to analyze and process signals and images for diagnosis, scientific discovery and medical applications. Volumes in this series cover a wide range of interdisciplinary areas, combining foundational content with practical case studies to demonstrate the applications of these technologies in real-world situations. In addition, the 10-volume series considers various medical devices, electronics, circuits, sensors and algorithms. Several applications ranging from basic biological science to clinical practice are included to facilitate ongoing research. Covers a variety of sensing and signal processing techniques Introduces different approaches relating to communication and intelligent data processing for early detection and prediction of diseases Includes practical case studies
| Author | : Nilanjan Dey |
| Publisher | : Academic Press |
| Total Pages | : 322 |
| Release | : 2019-09-09 |
| Genre | : Technology & Engineering |
| ISBN | : 012819362X |
Download Sensors for Health Monitoring Book in PDF, ePub and Kindle
Sensors for Health Monitoring discusses the characteristics of U-Healthcare systems in different domains, providing a foundation for working professionals and undergraduate and postgraduate students. The book provides information and advice on how to choose the best sensors for a U-Healthcare system, advises and guides readers on how to overcome challenges relating to data acquisition and signal processing, and presents comprehensive coverage of up-to-date requirements in hardware, communication and calculation for next-generation uHealth systems. It then compares new technological and technical trends and discusses how they address expected u-Health requirements. In addition, detailed information on system operations is presented and challenges in ubiquitous computing are highlighted. The book not only helps beginners with a holistic approach toward understanding u-Health systems, but also presents researchers with the technological trends and design challenges they may face when designing such systems. Presents an outstanding update on the use of U-Health data analysis and management tools in different applications, highlighting sensor systems Highlights Internet of Things enabled U-Healthcare Covers different data transmission techniques, applications and challenges with extensive case studies for U-Healthcare systems
| Author | : Sridhar Krishnan |
| Publisher | : Academic Press |
| Total Pages | : 342 |
| Release | : 2021-06-23 |
| Genre | : Technology & Engineering |
| ISBN | : 012813173X |
Download Biomedical Signal Analysis for Connected Healthcare Book in PDF, ePub and Kindle
Biomedical Signal Analysis for Connected Healthcare provides rigorous coverage on several generations of techniques, including time domain approaches for event detection, spectral analysis for interpretation of clinical events of interest, time-varying signal processing for understanding dynamical aspects of complex biomedical systems, the application of machine learning principles in enhanced clinical decision-making, the application of sparse techniques and compressive sensing in providing low-power applications that are essential for wearable designs, the emerging paradigms of the Internet of Things, and connected healthcare. Provides comprehensive coverage of biomedical engineering, technologies, and healthcare applications of various physiological signals Covers vital signals, including ECG, EEG, EMG and body sounds Includes case studies and MATLAB code for selected applications
| Author | : Iyad Obeid |
| Publisher | : Springer Nature |
| Total Pages | : 287 |
| Release | : 2020-03-16 |
| Genre | : Technology & Engineering |
| ISBN | : 3030368440 |
Download Signal Processing in Medicine and Biology Book in PDF, ePub and Kindle
This book covers emerging trends in signal processing research and biomedical engineering, exploring the ways in which signal processing plays a vital role in applications ranging from medical electronics to data mining of electronic medical records. Topics covered include statistical modeling of electroencephalograph data for predicting or detecting seizure, stroke, or Parkinson’s; machine learning methods and their application to biomedical problems, which is often poorly understood, even within the scientific community; signal analysis; medical imaging; and machine learning, data mining, and classification. The book features tutorials and examples of successful applications that will appeal to a wide range of professionals and researchers interested in applications of signal processing, medicine, and biology.
