UID:
almahu_9947359764902882
Format:
1 electronic text (xi, 93 p. : col. ill.) :
,
digital file.
Edition:
1st ed.
ISBN:
1598292951 (electronic bk.)
,
9781598292954 (electronic bk.)
,
1598292943 (pbk.)
,
9781598292947 (pbk.)
Series Statement:
Synthesis lectures on biomedical engineering, #12
Uniform Title:
Synthesis digital library of engineering and computer science.
Content:
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.
Note:
Part of: Synthesis digital library of engineering and computer science.
,
Series from website.
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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.
,
Also available in print.
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Mode of access: World Wide Web.
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System requirements: Adobe Acrobat Reader.
Language:
English
DOI:
10.2200/S00101ED1V01Y200702BME012
URL:
Abstract with links to resource
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