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Principles of Biomedical Instrumentation: Cambridge Texts in Biomedical Engineering

Autor Andrew G. Webb
en Limba Engleză Hardback – 10 ian 2018
This accessible yet in-depth textbook describes the step-by-step processes involved in biomedical device design. Integrating microfabrication techniques, sensors and digital signal processing with key clinical applications, it covers: the measurement, amplification and digitization of physiological signals, and the removal of interfering signals; the transmission of signals from implanted sensors through the body, and the issues surrounding the powering of these sensors; networks for transferring sensitive patient data to hospitals for continuous home-monitoring systems; tests for ensuring patient safety; the cost-benefit and technological trade-offs involved in device design; and current challenges in biomedical device design. With dedicated chapters on electrocardiography, digital hearing aids and mobile health, and including numerous end-of-chapter homework problems, online solutions and additional references for extended learning, it is the ideal resource for senior undergraduate students taking courses in biomedical instrumentation and clinical technology.
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Specificații

ISBN-13: 9781107113138
ISBN-10: 110711313X
Pagini: 344
Ilustrații: 230 b/w illus.
Dimensiuni: 192 x 253 x 19 mm
Greutate: 0.89 kg
Editura: Cambridge University Press
Colecția Cambridge University Press
Seria Cambridge Texts in Biomedical Engineering

Locul publicării:New York, United States

Cuprins

1. Biomedical instrumentation and devices; 2. Sensors and transducers; 3. Signal filtering and amplification; 4. Data acquisition and signal processing; 5. Electrocardiography; 6. Electroencephalograpy; 7. Digital hearing aids; 8. Mobile health, wearable health technology and wireless implanted devices; 9. Safety of biomedical instruments and devices; Appendix. Safety policy documents.

Notă biografică


Descriere

An up-to-date undergraduate text integrating microfabrication techniques, sensors and digital signal processing with clinical applications.