Main description:

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.

Contents:

1. Introduction
2. Performance Measures
3. Transducers
4. Electronics
5. Modelling and simulation of biomedical components and systems
6. Devices based on Oscillometric Signal: Blood pressure
7. Devices based on photoplethysmography signal: PPG devices and Pulse oximeters
8. Devices based on ECG Signal
9. Devices based on Time Difference between Signals: Continuous Blood Pressure Measurements
10. Device based on monitoring respiratory signal
11. Wearables
12. Conclusions and Research Directions