Medical Devices and Data

The miniaturization of electronics has driven a huge innovation in medical instruments. Medical-grade systems are now able to be sent home with patients, alongside small, portable devices for monitoring sports performance, stress, and lifestyle. The core ideas behind these devices originated about 130 years ago, but they are now made cheaply and are readily available in consumer devices like smart watches, as well as in new diagnostic instruments. Medical Devices and Data: Technology to Instrument the Body and Its Interpretation focuses on three key questions: How do these new instruments work? How do they interpret their data? And when do they err? It also identifies the key factors that are driving this innovation further. This text is written for those who would like to understand non-invasive medical instruments in more detail. It is written in an accessible manner, and no formal background in science, engineering, or medicine is required. Some equations are used where necessary, but calculus is avoided. This book explains the key ideas behind the advanced techniques used. All data, software, and -gures used in this book are made available online at the following link: https://url.us.m.mimecastprotect.com/s/N28qCwpEkBHAJkEoyFQF8HJhX1S?domain=bitbucket.org Key features: - Explores the design and use of medical instrumentation, seeking to explain the data measured and how it relates to body processes - Discusses what these devices mean: modern instruments give a whole range of indications: from basic (heart rate) to much more complicated (sleep quality score). For users of these devices, this book hope to shed some light on the information available - Details when results can be trusted and how to cast a critical eye over the accuracy and interpretation of these instruments

Andy Adler is a Canada Research Professor in Biomedical Engineering in Systems and Computer Engineering at Carleton University in Ottawa, Canada. His research interests are broadly in the area of biomedical measurement and robust data analysis. He is the author of ten book chapters, four patents, eighty-eight journal and 190 conference papers. A main focus of his work is technologies for imaging the body using small applied electrical currents. He has also been active in translation of the technology to the bedside, working with both start-up and established med-tech companies. He is the editor of Electrical Impedance Tomography, Second Edition (CRC Press, 2021).

Chapter 1 Introduction, Chapter 2 Beautiful Models, Chapter 3 Oxygen Transport, Chapter 4 Measuring Heart Rate, Chapter 5 Uncertainty, Chapter 6 Ethics and Medical Devices, Chapter 7 Weighing Scales, Chapter 8 Blood Pressure, Chapter 9 Blood Pressure Measurement, Chapter 10 Optical Measurements, Chapter 11 Electrophysiology, Chapter 12 Electrocardiogram, Chapter 13 The Body Electric, Chapter 14 Breath of Life, Chapter 15 Ultrasound, Chapter 16 Stress, Chapter 17 Heart-Rate Variability, Chapter 18 Into the Digital, Chapter 19 Filtering, Chapter 20 Learning Machines, Chapter 21 Weird Problems, Chapter 22 Mean Data? Peak Data?