A biosystems approach to industrial patient monitoring and diagnostic devices
By: Baura, Gail D.
Material type:
BookSeries: Synthesis lectures on biomedical engineering: #12.Publisher: San Rafael, Calif. (1537 Fourth St, San Rafael, CA 94901 USA) : Morgan & Claypool Publishers, c2008Edition: 1st ed.Description: 1 electronic text (xi, 93 p. : col. ill.) : digital file.ISBN: 1598292951 (electronic bk.); 9781598292954 (electronic bk.); 1598292943 (pbk.); 9781598292947 (pbk.).Uniform titles: Synthesis digital library of engineering and computer science. Subject(s): Medical instruments and apparatus -- Design and construction | Medical electronics -- Equipment and supplies | System theory | Medical instruments and apparatus industry -- United States | Patient monitoring -- Equipment and supplies | System theory | Machine intelligence | Patient monitoring | In vitro diagnostics | Pseudorandom binary sequence | Adaptive filtering | Wavelet transforms | ARMAX model | Artificial neural networks | Fuzzy model | Fuzzy controlDDC classification: 681/.761 Online resources: Abstract with links to resource Also available in print.| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
E books
|
PK Kelkar Library, IIT Kanpur | Available | EBKE106 |
Mode of access: World Wide Web.
System requirements: Adobe Acrobat Reader.
Part of: Synthesis digital library of engineering and computer science.
Series from website.
Includes bibliographic references.
Medical devices -- Medical device industry -- Medical instrumentation -- Patient monitoring devices -- Diagnostic devices -- System theory -- System theory for physiologic signals -- Filters -- Modeling -- Patient monitoring devices -- Masimo pulse oximetry -- Interflo medical continuous thermodilution -- Cardio dynamics impedance cardiography -- Aspect medical depth of anesthesia monitoring -- Diagnostic devices -- Neopath cervical cancer screening.
Abstract freely available; full-text restricted to subscribers or individual document purchasers.
Compendex
INSPEC
Google scholar
Google book search
A medical device is an apparatus that uses engineering and scientific principles to interface to physiology and diagnose or treat a disease. In this lecture, we specifically consider those medical devices that are computer based, and are therefore referred to as medical instruments. Further, the medical instruments we discuss are those that incorporate system theory into their designs. We divide these types of instruments into those that provide continuous observation and those that provide a single snapshot of health information. These instruments are termed patient monitoring devices and diagnostic devices, respectively. Within this lecture, we highlight some of the common system theory techniques that are part of the toolkit of medical device engineers in industry. These techniques include the pseudorandom binary sequence, adaptive filtering, wavelet transforms, the autoregressive moving average model with exogenous input, artificial neural networks, fuzzy models, and fuzzy control. Because the clinical usage requirements for patient monitoring and diagnostic devices are so high, system theory is the preferred substitute for heuristic, empirical processing during noise artifact minimization and classification.
Also available in print.
Title from PDF t.p. (viewed on Nov. 5, 2008).
There are no comments for this item.