Sensors Signal And Image Processing In Biomedicine And Assisted Living
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Author | : Dimitris K. Iakovidis |
Publisher | : MDPI |
Total Pages | : 312 |
Release | : 2020-11-04 |
Genre | : Computers |
ISBN | : 3039434187 |
This is a collection of recent advances on sensors, systems, and signal/image processing methods for biomedicine and assisted living. It includes methods for heart, sleep, and vital sign measurement; human motion-related signal analysis; assistive systems; and image- and video-based diagnostic systems. It provides an overview of the state-of-the-art challenges in the respective topics and future directions. This will be useful for researchers in various domains, including computer science, electrical engineering, biomedicine, and healthcare researchers.
Author | : Dimitris Iakovidis |
Publisher | : |
Total Pages | : 312 |
Release | : 2020 |
Genre | : |
ISBN | : 9783039434190 |
This is a collection of recent advances on sensors, systems, and signal/image processing methods for biomedicine and assisted living. It includes methods for heart, sleep, and vital sign measurement; human motion-related signal analysis; assistive systems; and image- and video-based diagnostic systems. It provides an overview of the state-of-the-art challenges in the respective topics and future directions. This will be useful for researchers in various domains, including computer science, electrical engineering, biomedicine, and healthcare researchers.
Author | : Manuel José Cabral Dos Santos Reis |
Publisher | : |
Total Pages | : 0 |
Release | : 2024-07-23 |
Genre | : Technology & Engineering |
ISBN | : 9783725815616 |
With the rapid advances in sensor technology, a vast and ever-growing amount of data in various domains and modalities is readily available. However, presenting raw signal data collected directly from sensors is sometimes inappropriate due to the presence of, for example, noise or distortion, among others. In order to obtain relevant and insightful metrics from sensor signals' data, further enhancement of the sensor signals acquired, such as noise reduction in one-dimensional electroencephalographic (EEG) signals or color correction in endoscopic images, and their analysis via computer-based medical systems, is needed. The processing of the data in themselves and the consequent extraction of useful information are also vital and included in the scope of this Special Issue. This SI of Sensors is aimed at highlighting advances in the development, testing, and application of data, signal, and image processing algorithms and techniques to all types of sensors and sensing methodologies. Experimental and theoretical results along with review papers, in as much detail as possible, are also considered. Some examples of the topics to be covered in this SI include the following: Ambient assisted living; Biomedical signal and image analysis; Machine learning in signal and image processing; Multimodal information processing for healthcare, monitoring, and surveillance; Real-time signal and image processing algorithms and architectures; Remote sensing processing; Sensors and smart sensors for IoT devices; Signal and image processing and understanding; Wearable sensor signal processing and its applications.
Author | : Iyad Obeid |
Publisher | : Springer Nature |
Total Pages | : 261 |
Release | : 2021-04-12 |
Genre | : Technology & Engineering |
ISBN | : 3030674940 |
This book provides an interdisciplinary look at emerging trends in signal processing and biomedicine found at the intersection of healthcare, engineering, and computer science. It examines the vital role signal processing plays in enabling a new generation of technology based on big data, and looks at applications ranging from medical electronics to data mining of electronic medical records. Topics covered include analysis of medical images, machine learning, biomedical nanosensors, wireless technologies, and instrumentation and electrical stimulation. Biomedical Signal Processing: Innovation and Applications 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.
Author | : Moeness Amin |
Publisher | : CRC Press |
Total Pages | : 424 |
Release | : 2017-09-14 |
Genre | : Technology & Engineering |
ISBN | : 1351651382 |
This book aims to capture recent advances and breakthroughs in in-home radar monitoring of human motions and activities. It addresses three key attributes of radar for in-door human monitoring, namely: motion classification including fall, detection of vital signs, and categorization of human gait for risk assessment and progression of physical impairments and disabilities. It explores recent developments in radar technology for human monitoring inside homes and residences. The reader will learn enhanced detection and classification techniques of radar signals associated with human micro- and macro-motions. Furthermore, the book includes examples using real data collected from healthy individuals, patients, and retirement communities based on the subject Doppler and range information, and using different single and multi-antenna radar system configurations. Results are also presented using modeled data based on biomechanics and kinematics. Indoor monitoring is further demonstrated using alternative technologies of infrared sensors and RF signals of opportunities.
Author | : Ayan Kumar Panja |
Publisher | : Academic Press |
Total Pages | : 168 |
Release | : 2022-06-02 |
Genre | : Technology & Engineering |
ISBN | : 0128230738 |
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 | : Kolekar, Maheshkumar H. |
Publisher | : IGI Global |
Total Pages | : 333 |
Release | : 2017-08-11 |
Genre | : Technology & Engineering |
ISBN | : 152252830X |
In healthcare systems, medical devices help physicians and specialists in diagnosis, prognosis, and therapeutics. As research shows, validation of medical devices is significantly optimized by accurate signal processing. Biomedical Signal and Image Processing in Patient Care is a pivotal reference source for progressive research on the latest development of applications and tools for healthcare systems. Featuring extensive coverage on a broad range of topics and perspectives such as telemedicine, human machine interfaces, and multimodal data fusion, this publication is ideally designed for academicians, researchers, students, and practitioners seeking current scholarly research on real-life technological inventions.
Author | : Ignacio Rojas |
Publisher | : Springer Nature |
Total Pages | : 520 |
Release | : 2023-06-28 |
Genre | : Science |
ISBN | : 3031349601 |
This volume constitutes the proceedings of the 10th International Work-Conference on IWBBIO 2023, held in Meloneras, Gran Canaria, Spain, during July 12-14, 2022. The total of 79 papers presented in the proceedings, was carefully reviewed and selected from 209 submissions. The papers cove the latest ideas and realizations in the foundations, theory, models, and applications for interdisciplinary and multidisciplinary research encompassing disciplines of computer science, mathematics, statistics, biology, bioinformatics, and biomedicine.
Author | : Ewa Pietka |
Publisher | : Springer Nature |
Total Pages | : 370 |
Release | : 2020-09-02 |
Genre | : Technology & Engineering |
ISBN | : 303049666X |
The rapid and continuous growth in the amount of available medical information and the variety of multimodal content has created demand for a fast and reliable technology capable of processing data and delivering results in a user-friendly manner, whenever and wherever the information is needed. Multimodal acquisition systems, AI-powered applications, and biocybernetic support for medical procedures, physiotherapy and prevention have opened up exciting new avenues in terms of optimizing the healthcare system for the benefit of patients. This book presents a comprehensive study on the latest advances in medical data science and gathers carefully selected articles written by respected experts on information technology. Pursuing an interdisciplinary approach and addressing both theoretical and applied aspects, it chiefly focuses on: Artificial Intelligence Image Analysis Sound and Motion in Physiotherapy and Physioprevention Modeling and Simulation Medical Data Analysis Given its scope, the book offers a valuable reference tool for all scientists who deal with problems of designing and implementing information processing tools employed in systems that assist in patient diagnosis and treatment, as well as students who want to learn more about the latest innovations in quantitative medical data analysis, data mining, and artificial intelligence.
Author | : Ewa Pietka |
Publisher | : Springer |
Total Pages | : 650 |
Release | : 2019-06-26 |
Genre | : Technology & Engineering |
ISBN | : 3030237621 |
This book provides a comprehensive overview of advances in the field of medical data science, presenting carefully selected articles by leading information technology experts. Information technology, as a rapidly evolving discipline in medical data science, with significant potential in future healthcare, and multimodal acquisition systems, mobile devices, sensors, and AI-powered applications has redefined the optimization of clinical processes. This book features an interdisciplinary collection of papers that have both theoretical and applied dimensions, and includes the following sections: Medical Data Science Quantitative Data Analysis in Medical Diagnosis Data Mining Tools and Methods in Medical Applications Image Analysis Analytics in Action on SAS Platform Biocybernetics in Physiotherapy Signal Processing and Analysis Medical Tools & Interfaces Biomechanics and Biomaterials. As such, it is a valuable reference tool for scientists designing and implementing information processing tools used in systems that assist clinicians in patient care. It is also useful for students interested in innovations in quantitative medical data analysis, data mining, and artificial intelligence.