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020 _a9783031016257
_9978-3-031-01625-7
024 7 _a10.1007/978-3-031-01625-7
_2doi
050 4 _aT1-995
072 7 _aTBC
_2bicssc
072 7 _aTEC000000
_2bisacsh
072 7 _aTBC
_2thema
082 0 4 _a620
_223
100 1 _aBaura, Gail.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_979726
245 1 0 _aBiosystems Approach to Industrial Patient Monitoring and Diagnostic Devices, A
_h[electronic resource] /
_cby Gail Baura.
250 _a1st ed. 2008.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2008.
300 _aXII, 93 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Biomedical Engineering,
_x1930-0336
505 0 _aPreface -- Medical Devices -- System Theory -- Patient Monitoring Devices -- Diagnostic Devices -- Conclusion -- Author Biography.
520 _aA 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 thosemedical 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. Table of Contents: Preface / Medical Devices / System Theory / Patient Monitoring Devices / Diagnostic Devices / Conclusion / Author Biography.
650 0 _aEngineering.
_99405
650 0 _aBiophysics.
_94093
650 0 _aBiomedical engineering.
_93292
650 1 4 _aTechnology and Engineering.
_979727
650 2 4 _aBiophysics.
_94093
650 2 4 _aBiomedical Engineering and Bioengineering.
_931842
710 2 _aSpringerLink (Online service)
_979728
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031004971
776 0 8 _iPrinted edition:
_z9783031027536
830 0 _aSynthesis Lectures on Biomedical Engineering,
_x1930-0336
_979729
856 4 0 _uhttps://doi.org/10.1007/978-3-031-01625-7
912 _aZDB-2-SXSC
942 _cEBK
999 _c84835
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