Medical Devices and Data
Technology to Instrument the Body and its Interpretation
- Publisher's listprice GBP 49.99
-
22 570 Ft (21 495 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 20% (cc. 4 514 Ft off)
- Discounted price 18 056 Ft (17 196 Ft + 5% VAT)
- Discount is valid until: 30 June 2026
Subcribe now and take benefit of a favourable price.
Subscribe
20 313 Ft
Availability
Not yet published.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number 1
- Publisher CRC Press
- Date of Publication 15 July 2026
- ISBN 9781032446950
- Binding Paperback
- No. of pages188 pages
- Size 254x178 mm
- Weight 453 g
- Language English
- Illustrations 103 Illustrations, black & white; 40 Halftones, black & white; 63 Line drawings, black & white; 9 Tables, black & white 700
Categories
Short description:
The miniaturization of electronics has driven innovation in medical instruments. This text asks: how do these new instruments work, how do they interpret their data, and when do they err? It also identifies key factors driving innovation. This text is accessible for anyone who would like to understand non-invasive medical instruments.
MoreLong description:
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 sports, stress and lifestyle monitoring devices.
The core ideas of these devices originated 130 years ago but they are now made cheaply and 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. The book explains the key ideas behind the advanced techniques used.
All data, software and figures used in this book are made available online at the following Github: 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.
More
Table of Contents:
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 Into the Digital, Chapter 18 Filtering, Chapter 19 Learning Machines, Chapter 20 Heart-Rate Variability, Chapter 21 Weird Problems, Chapter 22 Mean Data? Peak Data?
More
