Medical Devices and Data
Technology to Instrument the Body and its Interpretation
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10% KEDVEZMÉNY?
- Kiadói listaár GBP 51.99
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23 473 Ft (22 355 Ft + 5% áfa)
Az ár azért becsült, mert a rendelés pillanatában nem lehet pontosan tudni, hogy a beérkezéskor milyen lesz a forint árfolyama az adott termék eredeti devizájához képest. Ha a forint romlana, kissé többet, ha javulna, kissé kevesebbet kell majd fizetnie.
- Kedvezmény(ek) 10% (kb. 2 348 Ft)
- Kedvezményes ár 21 125 Ft (20 120 Ft + 5% áfa)
21 125 Ft
Beszerezhetőség
Becsült beszerzési idő: A Prosperónál jelenleg nincsen raktáron, de a kiadónál igen. Beszerzés kb. 3-5 hét..
A Prosperónál jelenleg nincsen raktáron.
Why don't you give exact delivery time?
A beszerzés időigényét az eddigi tapasztalatokra alapozva adjuk meg. Azért becsült, mert a terméket külföldről hozzuk be, így a kiadó kiszolgálásának pillanatnyi gyorsaságától is függ. A megadottnál gyorsabb és lassabb szállítás is elképzelhető, de mindent megteszünk, hogy Ön a lehető leghamarabb jusson hozzá a termékhez.
A termék adatai:
- Kiadás sorszáma 1
- Kiadó CRC Press
- Megjelenés dátuma 2026. július 30.
- ISBN 9781032446950
- Kötéstípus Puhakötés
- Terjedelem196 oldal
- Méret 254x178 mm
- Súly 360 g
- Nyelv angol
- Illusztrációk 103 Illustrations, black & white; 40 Halftones, black & white; 63 Line drawings, black & white; 9 Tables, black & white 699
Kategóriák
Rövid leírás:
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.
TöbbHosszú leírás:
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 figures 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
Tartalomjegyzék:
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?
Több
