Biomedical Measurement Systems and Data Science
Biomedical Measurement Systems and Data Science

Author: Michael Insana

Publisher: Cambridge University Press

Published: 2021-06-17

Total Pages: 405

ISBN-13: 1107179068

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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.

Biomedical Measurement Systems and Data Science
Biomedical Measurement Systems and Data Science

Author: Michael Insana

Publisher: Cambridge University Press

Published: 2021-06-17

Total Pages: 405

ISBN-13: 1316832767

DOWNLOAD EBOOK

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.

Handbook of Data Science Approaches for Biomedical Engineering
Handbook of Data Science Approaches for Biomedical Engineering

Author: Valentina Emilia Balas

Publisher: Academic Press

Published: 2019-11-13

Total Pages: 320

ISBN-13: 0128183195

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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

Biomedical Sensors and Measurement
Biomedical Sensors and Measurement

Author: Ping Wang

Publisher: Springer Science & Business Media

Published: 2011-12-13

Total Pages: 294

ISBN-13: 3642195253

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"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.

Data Analytics in Biomedical Engineering and Healthcare
Data Analytics in Biomedical Engineering and Healthcare

Author: Kun Chang Lee

Publisher: Academic Press

Published: 2020-10-18

Total Pages: 298

ISBN-13: 0128193158

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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

Principles of Biomedical Instrumentation
Principles of Biomedical Instrumentation

Author: Andrew G. Webb

Publisher: Cambridge University Press

Published: 2018-01-11

Total Pages: 345

ISBN-13: 110711313X

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An up-to-date undergraduate text integrating microfabrication techniques, sensors and digital signal processing with clinical applications.

Recent Trends in Computational Sciences
Recent Trends in Computational Sciences

Author: Gururaj H L

Publisher: CRC Press

Published: 2023-11-17

Total Pages: 365

ISBN-13: 1003804039

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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.

Principles of Measurement and Transduction of Biomedical Variables
Principles of Measurement and Transduction of Biomedical Variables

Author: Vera Button

Publisher: Academic Press

Published: 2015-04-07

Total Pages: 381

ISBN-13: 0128011440

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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

Introduction to PCM Telemetering Systems
Introduction to PCM Telemetering Systems

Author: Stephen Horan

Publisher: CRC Press

Published: 2017-09-19

Total Pages: 499

ISBN-13: 1351331213

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Introduction to PCM Telemetering Systems, Third Edition summarizes the techniques and terminology used in sending data and control information between users and the instruments that collect and process the data. Fully revised, it gives an overall systems introduction to the relevant topics in three primary areas: system interfaces; data transport, timing, and synchronization; and data transmission techniques. Integrating relevant information about the process at all levels from the user interface down to the transmission channel, this will also include how designers apply relevant industry and government standards at each level in this process. Homework problems are included at the end of each chapter.

IoT Technologies for HealthCare
IoT Technologies for HealthCare

Author: Susanna Spinsante

Publisher: Springer Nature

Published: 2023-03-15

Total Pages: 192

ISBN-13: 3031286634

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This book constitutes the refereed proceedings of the 9th EAI International Conference on IoT Technologies for HealthCare, HealthyIoT 2022, which was held in Braga, Portugal, in November 2022. The 11 full papers and 2 invited papers presented in this volume were carefully reviewed and selected from 37 submissions. The papers are organized in the following topical sections: Analysis of Measurement Data in IoT Technologies for Health; and IoT Applications in Research and Clinical Practice.