Biomedical Measurement Systems And Data Science
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Author |
: Michael Insana |
Publisher |
: Cambridge University Press |
Total Pages |
: 405 |
Release |
: 2021-06-17 |
ISBN-10 |
: 9781107179066 |
ISBN-13 |
: 1107179068 |
Rating |
: 4/5 (66 Downloads) |
Synopsis Biomedical Measurement Systems and Data Science by : Michael Insana
Discover the fundamental principles of biomedical measurement design and performance evaluation with this hands-on guide. Whether you develop measurement instruments or use them in novel ways, this practical text will prepare you to be an effective generator and consumer of biomedical data. Designed for both classroom instruction and self-study, it explains how information is encoded into recorded data and can be extracted and displayed in an accessible manner. Describes and integrates experimental design, performance assessment, classification, and system modelling. Combines mathematical concepts with computational models, providing the tools needed to answer advanced biomedical questions. Includes MATLAB® scripts throughout to help readers model all types of biomedical systems, and contains numerous homework problems, with a solutions manual available online. This is an essential text for advanced undergraduate and graduate students in bioengineering, electrical and computer engineering, computer science, medical physics, and anyone preparing for a career in biomedical sciences and engineering.
Author |
: Valentina Emilia Balas |
Publisher |
: Academic Press |
Total Pages |
: 320 |
Release |
: 2019-11-13 |
ISBN-10 |
: 9780128183199 |
ISBN-13 |
: 0128183195 |
Rating |
: 4/5 (99 Downloads) |
Synopsis Handbook of Data Science Approaches for Biomedical Engineering by : Valentina Emilia Balas
Handbook of Data Science Approaches for Biomedical Engineering covers the research issues and concepts of biomedical engineering progress and the ways they are aligning with the latest technologies in IoT and big data. In addition, the book includes various real-time/offline medical applications that directly or indirectly rely on medical and information technology. Case studies in the field of medical science, i.e., biomedical engineering, computer science, information security, and interdisciplinary tools, along with modern tools and the technologies used are also included to enhance understanding. Today, the role of Big Data and IoT proves that ninety percent of data currently available has been generated in the last couple of years, with rapid increases happening every day. The reason for this growth is increasing in communication through electronic devices, sensors, web logs, global positioning system (GPS) data, mobile data, IoT, etc. - Provides in-depth information about Biomedical Engineering with Big Data and Internet of Things - Includes technical approaches for solving real-time healthcare problems and practical solutions through case studies in Big Data and Internet of Things - Discusses big data applications for healthcare management, such as predictive analytics and forecasting, big data integration for medical data, algorithms and techniques to speed up the analysis of big medical data, and more
Author |
: Ping Wang |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 294 |
Release |
: 2011-12-13 |
ISBN-10 |
: 9783642195259 |
ISBN-13 |
: 3642195253 |
Rating |
: 4/5 (59 Downloads) |
Synopsis Biomedical Sensors and Measurement by : Ping Wang
"Biomedical Sensors and Measurement" is an interdisciplinary book combining electronics with biology and medicine. It gives an overview of the concept and principle of biomedical sensors and measurement. First, the basic theory and technology are explained, followed by details of the physical sensors, chemical sensors, biosensors and their typical applications in biomedicine. Furthermore, the interface technology of the sensors and the typical measurement systems is presented. The large amount of vivid and specific figures and formulas will help to deepen the understanding of the fundamental and new applications involving biomedical sensors and measurement technology. The book is intended for biomedical engineers, medical physicists and other researchers and professionals in biomedicine-related specialties, especially interdisciplinary studies. Prof. Ping Wang and Dr. Qingjun Liu both work at the Biosensor National Special Laboratory, Key Laboratory for Biomedical Engineering of Education Ministry, Department of Biomedical Engineering, Zhejiang University, China.
Author |
: Kun Chang Lee |
Publisher |
: Academic Press |
Total Pages |
: 298 |
Release |
: 2020-10-18 |
ISBN-10 |
: 9780128193150 |
ISBN-13 |
: 0128193158 |
Rating |
: 4/5 (50 Downloads) |
Synopsis Data Analytics in Biomedical Engineering and Healthcare by : Kun Chang Lee
Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and medical research scientists. The book covers health analytics, data science, and machine and deep learning applications for biomedical data, covering areas such as predictive health analysis, electronic health records, medical image analysis, computational drug discovery, and genome structure prediction using predictive modeling. Case studies demonstrate big data applications in healthcare using the MapReduce and Hadoop frameworks. - Examines the development and application of data analytics applications in biomedical data - Presents innovative classification and regression models for predicting various diseases - Discusses genome structure prediction using predictive modeling - Shows readers how to develop clinical decision support systems - Shows researchers and specialists how to use hybrid learning for better medical diagnosis, including case studies of healthcare applications using the MapReduce and Hadoop frameworks
Author |
: M. Vega-Barbas |
Publisher |
: IOS Press |
Total Pages |
: 138 |
Release |
: 2019-06-05 |
ISBN-10 |
: 9781614999737 |
ISBN-13 |
: 1614999732 |
Rating |
: 4/5 (37 Downloads) |
Synopsis Transforming Ergonomics with Personalized Health and Intelligent Workplaces by : M. Vega-Barbas
Life expectancy is increasing, and we are all expected to work for longer as a result. A balance must be found between the demands of work and human capabilities, and this makes the prevention of workplace-related health problems more important than ever. Emerging technologies, such as smart textiles, wearable devices, and the Internet of Things have enabled the development of intelligent biomedical clothing and the integration of pervasive sensitive services into the environment, and together with ambient intelligence technology techniques and big data analytics, have fostered a proliferation of p-Health monitoring solutions. This book presents a collection of the most significant challenges and advances in the field of intelligent workspaces and personalized ergonomics, bringing together the most relevant results of various international research projects. The book is organized into three main sections: Personalized Ergonomics, which explores the need for practical and reliable risk assessment methods for the prevention of musculoskeletal disorders and the enhancement of the workplace; Pervasive Technology for Intelligent Workplaces, which identifies the opportunities and challenges of technology-based interventions and the security and privacy issues of the smart workplace; and Data Warehouse Governance and Analytics. The book concludes with a chapter on lessons learnt. The transformation of the working environment into a healthy and intelligent space will not only support ergonomists, employees and employers, but may also be the solution to the sustainability of our current social welfare systems, and the book will be of interest to all those concerned with workplace health.
Author |
: Vera Button |
Publisher |
: Academic Press |
Total Pages |
: 381 |
Release |
: 2015-04-07 |
ISBN-10 |
: 9780128011447 |
ISBN-13 |
: 0128011440 |
Rating |
: 4/5 (47 Downloads) |
Synopsis Principles of Measurement and Transduction of Biomedical Variables by : Vera Button
Principles of Measurement and Transduction of Biomedical Variables is a comprehensive text on biomedical transducers covering the principles of functioning, application examples and new technology solutions. It presents technical and theoretical principles to measure biomedical variables, such as arterial blood pressure, blood flow, temperature and CO2 concentration in exhaled air and their transduction to an electrical variable, such as voltage, so they can be more easily quantified, processed and visualized as numerical values and graphics. The book includes the functioning principle, block diagram, modelling equations and basic application of different transducers, and is an ideal resource for teaching measurement and transduction of biomedical variables in undergraduate and postgraduate biomedical engineering programs. - Will help you to understand the design and functioning of biomedical transducers through practical examples and applied information - Covers MEMS and laser sensors - Reviews the range of devices and techniques available plus the advantages and shortcomings for each transducer type
Author |
: Andrew G. Webb |
Publisher |
: Cambridge University Press |
Total Pages |
: 345 |
Release |
: 2018-01-11 |
ISBN-10 |
: 9781107113138 |
ISBN-13 |
: 110711313X |
Rating |
: 4/5 (38 Downloads) |
Synopsis Principles of Biomedical Instrumentation by : Andrew G. Webb
An up-to-date undergraduate text integrating microfabrication techniques, sensors and digital signal processing with clinical applications.
Author |
: Gururaj H L |
Publisher |
: CRC Press |
Total Pages |
: 365 |
Release |
: 2023-11-17 |
ISBN-10 |
: 9781003804031 |
ISBN-13 |
: 1003804039 |
Rating |
: 4/5 (31 Downloads) |
Synopsis Recent Trends in Computational Sciences by : Gururaj H L
This book is a compilation of research papers and presentations from the Fourth Annual International Conference on Data Science, Machine Learning and Blockchain Technology (AICDMB 2023, Mysuru, India, 16-17 March 2023). The book covers a wide range of topics, including data mining, natural language processing, deep learning, computer vision, big data analytics, cryptography, smart contracts, decentralized applications, and blockchain-based solutions for various industries such as healthcare, finance, and supply chain management. The research papers presented in this book highlight the latest advancements and practical applications in data science, machine learning, and blockchain technology, and provide insights into the future direction of these fields. The book serves as a valuable resource for researchers, students, and professionals in the areas of data science, machine learning, and blockchain technology.
Author |
: Suresh R. Devasahayam |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 348 |
Release |
: 2012-12-06 |
ISBN-10 |
: 9781461542995 |
ISBN-13 |
: 1461542995 |
Rating |
: 4/5 (95 Downloads) |
Synopsis Signals and Systems in Biomedical Engineering by : Suresh R. Devasahayam
In the past few years Biomedical Engineering has received a great deal of attention as one of the emerging technologies in the last decade and for years to come, as witnessed by the many books, conferences, and their proceedings. Media attention, due to the applications-oriented advances in Biomedical Engineering, has also increased. Much of the excitement comes from the fact that technology is rapidly changing and new technological adventures become available and feasible every day. For many years the physical sciences contributed to medicine in the form of expertise in radiology and slow but steady contributions to other more diverse fields, such as computers in surgery and diagnosis, neurology, cardiology, vision and visual prosthesis, audition and hearing aids, artificial limbs, biomechanics, and biomaterials. The list goes on. It is therefore hard for a person unfamiliar with a subject to separate the substance from the hype. Many of the applications of Biomedical Engineering are rather complex and difficult to understand even by the not so novice in the field. Much of the hardware and software tools available are either too simplistic to be useful or too complicated to be understood and applied. In addition, the lack of a common language between engineers and computer scientists and their counterparts in the medical profession, sometimes becomes a barrier to progress.
Author |
: Waldemar Wójcik |
Publisher |
: Routledge |
Total Pages |
: 213 |
Release |
: 2021-05-10 |
ISBN-10 |
: 9781000382624 |
ISBN-13 |
: 1000382621 |
Rating |
: 4/5 (24 Downloads) |
Synopsis Information Technology in Medical Diagnostics III by : Waldemar Wójcik
The science of biomedical measurements is experiencing a period of rapid development. Biomedical measuring systems are becoming increasingly accurate on the one hand and complex on the other. In order to make progress in this field, metrological problems must be solved using a systemic and formal approach. To this end, it is necessary to define the components of the system and the rules for their interaction, which allows the creation of a mathematical model. In this way, any technology or object can be presented in the form of a structure on which the necessary estimates can be formulated and synthesis, including metrological one, can be made. The authors have observed that despite the significance of the problem, few scientific centres deal with this issue in a generalised manner. Hence the idea of bringing together the achievements of the centres from Russia, Poland and Kazakhstan in one joint publication. The first and second volumes of Information Technology in Medical Diagnostics found readers not only in Poland, Ukraine, and Kazakhstan but also Spain, Russia and the Czech Republic. Following the readers’ suggestions, in the third volume of ITMD we returned to the formula of closed chapters known from volume one. Due to its limited volume, the book deals with the aforementioned issues in only selected areas of biomedical engineering. The book will be of interest not only for academics and engineers but also for professionals involved in biomedical engineering, seeking solutions for the problems that cannot be solved using "traditional" technologies or trying to improve existing measurement systems.