Pervasive Cardiovascular and Respiratory Monitoring Devices

Model-Based Design

Miodrag Bolic (Professor, SITE, University of Ottawa, Canada)

$206.95

Paperback

Not in-store but you can order this
How long will it take?

Availability Information

We source books from suppliers in Australia and overseas. For books we don't currently have in stock, the time it takes to get them from our suppliers can vary widely - from a few days to a few months - so we check each book with each supplier to determine the expected time it will take to be supplied to us.

We then advise you accordingly. If the time taken to get any book is too long for you, you can let us know and we will cancel or adjust your order, and refund as required.

To find out the anticipated arrival time for specific items prior to ordering, please contact us by phone or email:

Phone +61 2 9264 3111, or 1800 4 BOOKS (1800 4 26657) if outside Sydney:
option 1 Abbey's Bookshop (Crime, History, Science, Kids & more) • info@abbeys.com.au
option 2 Language Book Centre (ESL & Foreign Languages) • language@abbeys.com.au
option 3 Galaxy Bookshop (Sci-fi, Fantasy, Romance, Graphic Novels) • sf@galaxybooks.com.au

QTY:

English

Academic Press Inc
26 June 2023

Cardiovascular medicine; Respiratory medicine; Biomedical engineering

Pervasive Cardiac and Respiratory Monitoring Devices: Model-Based Design is the first book to combine biomedical instrumentation and model-based design. As the scope is limited to cardiac and respiratory devices only, this book offers more depth of information on these devices; focusing in on signals used for home monitoring and offering additional analysis of these devices. The author offers an insight into new industry and research trends, including advances in contactless monitoring of breathing and heart rate. Each chapter presents a section on current trends. As instrumentation as a field is becoming increasingly smart, basic signal processing is also discussed. Real case-studies for each modelling approach are used, primarily covering blood pressure, ECG and radar-based devices.

This title is ideal for teaching and supporting learning as it is written in an accessible style and a solutions manual for the problem sets is provided. It will be useful to 4th year undergraduate students, graduate/masters/PhD students, early career researchers and professionals working on an interdisciplinary project; as it introduces the field and provides real world applications. For engineers this book solves the problem of how to assess and calibrate a medical device to ensure the data collected is trustworthy. For students, this book allows for trying concepts and circuits via simulations and learning modeling techniques. Students will learn concepts from this book and be ready to design bioinstrumentations devices based on specifications/requirements.

By: Miodrag Bolic (Professor SITE University of Ottawa Canada)
Imprint: Academic Press Inc
Country of Publication: United States
Dimensions: Height: 235mm, Width: 191mm,
Weight: 450g
ISBN: 9780128209479
ISBN 10: 012820947X
Pages: 488
Publication Date: 26 June 2023
Audience: College/higher education , Primary
Format: Paperback
Publisher's Status: Active

Preface Acknowledgments Overview of biomedical instrumentation and devices 1. Concepts in performance evaluation and uncertainty analysis 2. Transducers 3. Electronics 4. Modelling and simulation of biomedical systems 5. Devices based on Oscillometric Signal: Blood pressure 6. Devices based on photoplethysmogram and pulse oximetry 7. Devices based on ECG Signal 8. Devices based on Time Difference between Signals: Continuous Blood Pressure Measurement 9. Continuous monitoring of breathing 10. Wearable devices 11. Conclusions and research Directions: beyond wearable devices

Miodrag Bolic received his Ph.D. degree in electrical engineering from Stony Brook University, US, in 2004. Since 2004 he has been with the University of Ottawa, Canada where he is Professor with the School of Electrical Engineering and Computer Science. He is a Director of the Computational Analysis and Health Devices research groups. His current research interests include physics based machine learning and uncertainty quantification for biomedical and autonomous vehicles applications. He has published about 80 journal papers and has 5 patents. He teaches at the graduate level courses on biomedical instrumentation and uncertainty quantification in engineering and machine learning. Prof. Bolic worked on cardiorespiratory monitoring for the last 12 years including both the design of devices and development of signal processing/machine learning algorithms. His work on wearable devices include ECG-assisted oscillometric and BCG-assisted cuffless blood pressure monitoring. His work on contactless monitoring includes breathing and heart rate estimation and breathing pattern classification using RGB, thermal and 3D cameras as well as radars.