Download or read book Biomedical Signals and Sensors II written by Eugenijus Kaniusas and published by Springer. This book was released on 2016-10-06 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book set develops a bridge between physiologic mechanisms and diagnostic human engineering. While the first volume is focused on the interface between physiologic mechanisms and the resultant biosignals, this second volume is devoted to the interface between biosignals and biomedical sensors. That is, in the first volume, the physiologic mechanisms determining biosignals are described from the basic cellular level up to their advanced mutual coordination level. This second volume, considers the genesis of acoustic and optic biosignals and the associated sensing technology from a strategic point of view. As a novelty, this book discusses heterogeneous biosignals within a common frame. This frame comprises both the biosignal formation path from the biosignal source at the physiological level to biosignal propagation in the body, and the biosignal sensing path from the biosignal transmission in the sensor applied on the body up to its conversion to a, usually electric, signal. Some biosignals arise in the course of the body’s vital functions while others map these functions that convey physiological data to an observer. It is highly instructive how sound and light beams interact with biological tissues, yielding acoustic and optic biosignals, respectively. Discussed phenomena teach a lot about the physics of sound and physics of light (as engineering sciences), and, on the other hand, biology and physiology (as live sciences). The highly interdisciplinary nature of biosignals and biomedical sensors is obviously a challenge. However, it is a rewarding challenge after it has been coped with in a strategic way, as offered here. The book is intended to have the presence to answer intriguing “Aha!” questions.
Download or read book Biomedical Signals and Sensors III written by Eugenijus Kaniusas and published by Springer. This book was released on 2019-08-14 with total page 609 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the third volume in the author’s series on “Biomedical Signals and Sensors,” this book explains in a highly instructive way how electric, magnetic and electromagnetic fields propagate and interact with biological tissues. The series provides a bridge between physiological mechanisms and theranostic human engineering. The first volume focuses on the interface between physiological mechanisms and the resultant biosignals that are commonplace in clinical practice. The physiologic mechanisms determining biosignals are described from the cellular level up to the mutual coordination at the organ level. In turn, the second volume considers the genesis of acoustic and optic biosignals and the associated sensing technology from a strategic point of view. This third volume addresses the interface between electric biosignals and biomedical sensors. Electric biosignals are considered, starting with the biosignal formation path to biosignal propagation in the body and finally to the biosignal sensing path and the recording of the signal. The series also emphasizes the common features of acoustic, optic and electric biosignals, which are ostensibly entirely different in terms of their physical nature. Readers will learn how these electric, magnetic and electromagnetic fields propagate and interact with biological tissues, are influenced by inhomogeneity effects, cause neuromuscular stimulation and thermal effects, and finally pass the electrode/tissue boundary to be recorded. As such, the book helps them manage the challenges posed by the highly interdisciplinary nature of biosignals and biomedical sensors by presenting the basics of electrical engineering, physics, biology and physiology that are needed to understand the relevant phenomena.
Download or read book Biomedical Signals and Sensors I written by Eugenijus Kaniusas and published by Springer Science & Business Media. This book was released on 2012-04-12 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set focuses on the interface between physiologic mechanisms and diagnostic human engineering. Today numerous biomedical sensors are commonplace in clinical practice. The registered biosignals reflect mostly vital physiologic phenomena. In order to adequately apply biomedical sensors and reasonably interpret the corresponding biosignals, a proper understanding of the involved physiologic phenomena, their influence on the registered biosignals, and the technology behind the sensors is necessary. The first volume is devoted to the interface between physiologic mechanisms and arising biosignals, whereas the second volume is focussed on the interface between biosignals and biomedical sensors. The physiologic mechanisms behind the biosignals are described from the basic cellular level up to their advanced mutual coordination level during sleep. The arising biosignals are discussed within the scope of vital physiologic phenomena to foster their understanding and comprehensive analysis.
Download or read book Biomedical Signals and Sensors II written by Eugenijus Kaniusas and published by Springer. This book was released on 2015-03-03 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book set develops a bridge between physiologic mechanisms and diagnostic human engineering. While the first volume is focused on the interface between physiologic mechanisms and the resultant biosignals, this second volume is devoted to the interface between biosignals and biomedical sensors. That is, in the first volume, the physiologic mechanisms determining biosignals are described from the basic cellular level up to their advanced mutual coordination level. This second volume, considers the genesis of acoustic and optic biosignals and the associated sensing technology from a strategic point of view. As a novelty, this book discusses heterogeneous biosignals within a common frame. This frame comprises both the biosignal formation path from the biosignal source at the physiological level to biosignal propagation in the body, and the biosignal sensing path from the biosignal transmission in the sensor applied on the body up to its conversion to a, usually electric, signal. Some biosignals arise in the course of the body’s vital functions while others map these functions that convey physiological data to an observer. It is highly instructive how sound and light beams interact with biological tissues, yielding acoustic and optic biosignals, respectively. Discussed phenomena teach a lot about the physics of sound and physics of light (as engineering sciences), and, on the other hand, biology and physiology (as live sciences). The highly interdisciplinary nature of biosignals and biomedical sensors is obviously a challenge. However, it is a rewarding challenge after it has been coped with in a strategic way, as offered here. The book is intended to have the presence to answer intriguing “Aha!” questions.
Download or read book Biomedical Signals and Sensors I written by Eugenijus Kaniusas and published by Springer. This book was released on 2012-04-18 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set focuses on the interface between physiologic mechanisms and diagnostic human engineering. Today numerous biomedical sensors are commonplace in clinical practice. The registered biosignals reflect mostly vital physiologic phenomena. In order to adequately apply biomedical sensors and reasonably interpret the corresponding biosignals, a proper understanding of the involved physiologic phenomena, their influence on the registered biosignals, and the technology behind the sensors is necessary. The first volume is devoted to the interface between physiologic mechanisms and arising biosignals, whereas the second volume is focussed on the interface between biosignals and biomedical sensors. The physiologic mechanisms behind the biosignals are described from the basic cellular level up to their advanced mutual coordination level during sleep. The arising biosignals are discussed within the scope of vital physiologic phenomena to foster their understanding and comprehensive analysis.
Download or read book Acoustic Sensors for Biomedical Applications written by Nilanjan Dey and published by Springer. This book was released on 2018-07-20 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, application-related studies for acoustic biomedical sensors are covered in depth. The book features an array of different biomedical signals, including acoustic biomedical signals as well as the thermal biomedical signals, magnetic biomedical signals, and optical biomedical signals to support healthcare. It employs signal processing approaches, such as filtering, Fourier transform, spectral estimation, and wavelet transform. The book presents applications of acoustic biomedical sensors and bio-signal processing for prediction, detection, and monitoring of some diseases from the phonocardiogram (PCG) signal analysis. Several challenges and future perspectives related to the acoustic sensors applications are highlighted. This book supports the engineers, researchers, designers, and physicians in several interdisciplinary domains that support healthcare.
Download or read book Biomedical Signal and Image Processing written by Kayvan Najarian and published by CRC Press. This book was released on 2016-04-19 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written for senior-level and first year graduate students in biomedical signal and image processing, this book describes fundamental signal and image processing techniques that are used to process biomedical information. The book also discusses application of these techniques in the processing of some of the main biomedical signals and images, such as EEG, ECG, MRI, and CT. New features of this edition include the technical updating of each chapter along with the addition of many more examples, the majority of which are MATLAB based.
Download or read book Biomedical Sensors and Instruments written by Tatsuo Tagawa and published by CRC Press. This book was released on 2011-03-22 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: The living body is a difficult object to measure: accurate measurements of physiological signals require sensors and instruments capable of high specificity and selectivity that do not interfere with the systems under study. As a result, detailed knowledge of sensor and instrument properties is required to be able to select the "best" sensor from o
Download or read book Nonlinear Biomedical Signal Processing Volume 2 written by Metin Akay and published by Wiley-IEEE Press. This book was released on 2000-09-20 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Publisher description: Biomedical / Electrical Engineering Nonlinear Biomedical Signal Processing Volume I: Fuzzy Logic, Neural Networks, and New Algorithms A volume in the IEEE Press Series on Biomedical Engineering Metin Akay, Series Editor For the first time, eleven experts in the fields of signal processing and biomedical engineering have contributed to an edition on the newest theories and applications of fuzzy logic, neural networks, and algorithms in biomedicine. Nonlinear Biomedical Signal Processing, Volume I provides comprehensive coverage of nonlinear signal processing techniques. In the last decade, theoretical developments in the concept of fuzzy logic have led to several new approaches to neural networks. This compilation delivers plenty of real-world examples for a variety of implementations and applications of nonlinear signal processing technologies to biomedical problems. Included here are discussions that combine the various structures of Kohenen, Hopfield, and multiple-layer "designer" networks with other approaches to produce hybrid systems. Comparative analysis is made of methods of genetic, back-propagation, Bayesian, and other learning algorithms. Topics covered include: * Uncertainty management * Analysis of biomedical signals * A guided tour of neural networks * Application of algorithms to EEG and heart rate variability signals * Event detection and sample stratification in genomic sequences * Applications of multivariate analysis methods to measure glucose concentration Nonlinear Biomedical Signal Processing, Volume I is a valuable reference tool for medical researchers, medical faculty and advanced graduate student, s as well as for practicing biomedical engineers. Nonlinear Biomedical Signal Processing, Volume I is an excellent companion to Nonlinear Biomedical Signal Processing, Volume II: Dynamic Analysis and Modeling.
Download or read book Biomedical Signals Imaging and Informatics written by Joseph D. Bronzino and published by CRC Press. This book was released on 2014-12-16 with total page 1416 pages. Available in PDF, EPUB and Kindle. Book excerpt: As the third volume of The Biomedical Engineering Handbook, Fourth Edition, this book covers broad areas such as biosignal processing, medical imaging, infrared imaging, and medical informatics. More than three dozen specific topics are examined including biomedical signal acquisition, thermographs, infrared cameras, mammography, computed tomography, positron-emission tomography, magnetic resonance imaging, hospital information systems, and computer-based patient records. The material is presented in a systematic manner and has been updated to reflect the latest applications and research findings.
Download or read book Advances in Non Invasive Biomedical Signal Sensing and Processing with Machine Learning written by Saeed Mian Qaisar and published by Springer Nature. This book was released on 2023-03-01 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the modern technological advancements and revolutions in the biomedical sector. Progress in the contemporary sensing, Internet of Things (IoT) and machine learning algorithms and architectures have introduced new approaches in the mobile healthcare. A continuous observation of patients with critical health situation is required. It allows monitoring of their health status during daily life activities such as during sports, walking and sleeping. It is realizable by intelligently hybridizing the modern IoT framework, wireless biomedical implants and cloud computing. Such solutions are currently under development and in testing phases by healthcare and governmental institutions, research laboratories and biomedical companies. The biomedical signals such as electrocardiogram (ECG), electroencephalogram (EEG), Electromyography (EMG), phonocardiogram (PCG), Chronic Obstructive Pulmonary (COP), Electrooculography (EoG), photoplethysmography (PPG), and image modalities such as positron emission tomography (PET), magnetic resonance imaging (MRI) and computerized tomography (CT) are non-invasively acquired, measured, and processed via the biomedical sensors and gadgets. These signals and images represent the activities and conditions of human cardiovascular, neural, vision and cerebral systems. Multi-channel sensing of these signals and images with an appropriate granularity is required for an effective monitoring and diagnosis. It renders a big volume of data and its analysis is not feasible manually. Therefore, automated healthcare systems are in the process of evolution. These systems are mainly based on biomedical signal and image acquisition and sensing, preconditioning, features extraction and classification stages. The contemporary biomedical signal sensing, preconditioning, features extraction and intelligent machine and deep learning-based classification algorithms are described. Each chapter starts with the importance, problem statement and motivation. A self-sufficient description is provided. Therefore, each chapter can be read independently. To the best of the editors’ knowledge, this book is a comprehensive compilation on advances in non-invasive biomedical signal sensing and processing with machine and deep learning. We believe that theories, algorithms, realizations, applications, approaches, and challenges, which are presented in this book will have their impact and contribution in the design and development of modern and effective healthcare systems.
Download or read book Biomedical Sensors and Smart Sensing written by Ayan Kumar Panja and published by Academic Press. This book was released on 2022-06-02 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Download or read book Biomedical Signal Processing written by Arnon Cohen and published by CRC Press. This book was released on 2021-03 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: First published in 1986: The presentation of the material in the book follows the flow of events of the general signal processing system. After the signal has been acquired, some manipulations are applied in order to enhance the relevant information present in the signal. Simple, Optimal, and adaptive filtering are examples of such manipulations. The detection of wavelets is of importance in biomedical signals; they can be detected from the enhanced signal by several methods. The signal very often contains redundancies. When effective storing, transmission, or automatic classification are required, these redundancies have to be extracted.
Download or read book Biomedical Sensors written by Deric P. Jones and published by Momentum Press. This book was released on 2010 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sensors are the eyes, ears, and more, of the modern engineered product or system- including the living human organism. This authoritative reference work, part of Momentum Press's new Sensors Technology series, edited by noted sensors expert, Dr. Joe Watson, will offer a complete review of all sensors and their associated instrumentation systems now commonly used in modern medicine. Readers will find invaluable data and guidance on a wide variety of sensors used in biomedical applications, from fluid flow sensors, to pressure sensors, to chemical analysis sensors. New developments in biomaterials- based sensors that mimic natural bio-systems will be covered as well. Also featured will be ample references throughout, along with a useful Glossary and symbols list, as well as convenient conversion tables.
Download or read book Biomedical Sensors Data Acquisition with LabVIEW written by Anshuman Prakash and published by BPB Publications. This book was released on 2020-08-07 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore and work with tools for Biomedical Data Acquisition and Signal Processing KEY FEATURESÊÊ - Get familiar with the working of Biomedical Sensor - Learn how to programÊArduino with LabVIEW with ease - Get familiar with the process of interfacing of analog sensors with Arduino Mega - Use LabVIEW to build an ECG Patient Monitoring System - Learn how to interface a simple GSM Module to ArduinoÊ DESCRIPTIONÊ Biomedical sensor data acquisition with LabVIEW provides a platform for engineering students to get acquainted with Arduino and LabVIEW programming. Arduino based projects would help to improve the standards of patient care and monitoring in hospitals and the standard of living in cities by implementing a variety of innovative ideas more directly. The goal of this book is to explore and illustrate the programming and interfacing of Arduino with biomedical sensors, communication modules, and LabVIEW GUI.Ê The book begins with essential knowledge and gradually progresses towards the advanced level of comprehension. It starts with a Biomedical sensor-based project with a working model of LabVIEW GUI. It also gives a detailed overview of programming with Arduino IDE and LabVIEW. It covers Interface for Arduino (LIFA), which is a unique contribution that aids in the understanding of embedded systems. This book for high-level students who need application-based knowledge for developing some real-time patient monitoring systems using Arduino and LabVIEW.Ê By the end of the book, you will understand, data acquisition for Biomedical sensors with LabVIEW GUI. Ê WHAT WILL YOU LEARNÊÊ - Learn about the interfacing of Biomedical Sensors - UnderstandÊhow to create GUI with LabVIEW - Learn about digital and analog sensor interfacing with ArduinoÊ - Learn how to load the LabVIEW Interface for ArduinoÊwithout Firmware - Learn how toÊInterface LabVIEW with ArduinoÊBoardÊusing Firmware WHO THIS BOOK IS FORÊÊÊ This book is for Students/Professionals looking for a career in the growing field of Biomedical Sensors. This book is also for those who want to get familiar with the basics of E-Healthcare systems. TABLE OF CONTENTS 1. Introduction to Biomedical Signals 2. Introduction to Arduino Mega 3. Digital sensor interfacing with Arduino Mega 4. Display device interfacing with Arduino Mega 5. Analog sensor interfacing with Arduino Mega 6. Introduction to interfacing Arduino and LabVIEW without Firmware 7. GSR sensor module interfacing using ArduinoÊ 8. Blood Pressure Sensor ModuleÊ 9. Respiratory (nasal airflow) sensor moduleÊ 10. Temperature Sensor ModuleÊ 11. Body Position Sensor Module 12. Introduction to interfacing Arduino and LabVIEWFirmware 13. ECG Sensor Module with Arduino 14. EMG Sensor Module with Arduino 15. Pulse Oximeter interface with ArduinoÊ
Download or read book Machine Learning in Bio Signal Analysis and Diagnostic Imaging written by Nilanjan Dey and published by Academic Press. This book was released on 2018-11-30 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning in Bio-Signal Analysis and Diagnostic Imaging presents original research on the advanced analysis and classification techniques of biomedical signals and images that cover both supervised and unsupervised machine learning models, standards, algorithms, and their applications, along with the difficulties and challenges faced by healthcare professionals in analyzing biomedical signals and diagnostic images. These intelligent recommender systems are designed based on machine learning, soft computing, computer vision, artificial intelligence and data mining techniques. Classification and clustering techniques, such as PCA, SVM, techniques, Naive Bayes, Neural Network, Decision trees, and Association Rule Mining are among the approaches presented. The design of high accuracy decision support systems assists and eases the job of healthcare practitioners and suits a variety of applications. Integrating Machine Learning (ML) technology with human visual psychometrics helps to meet the demands of radiologists in improving the efficiency and quality of diagnosis in dealing with unique and complex diseases in real time by reducing human errors and allowing fast and rigorous analysis. The book's target audience includes professors and students in biomedical engineering and medical schools, researchers and engineers. - Examines a variety of machine learning techniques applied to bio-signal analysis and diagnostic imaging - Discusses various methods of using intelligent systems based on machine learning, soft computing, computer vision, artificial intelligence and data mining - Covers the most recent research on machine learning in imaging analysis and includes applications to a number of domains
Download or read book Acoustic Sensors for Biomedical Applications written by Nilanjan Dey and published by . This book was released on 2019 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, application-related studies for acoustic biomedical sensors are covered in depth. The book features an array of different biomedical signals, including acoustic biomedical signals as well as the thermal biomedical signals, magnetic biomedical signals, and optical biomedical signals to support healthcare. It employs signal processing approaches, such as filtering, Fourier transform, spectral estimation, and wavelet transform. The book presents applications of acoustic biomedical sensors and bio-signal processing for prediction, detection, and monitoring of some diseases from the phonocardiogram (PCG) signal analysis. Several challenges and future perspectives related to the acoustic sensors applications are highlighted. This book supports the engineers, researchers, designers, and physicians in several interdisciplinary domains that support healthcare.
