| 000 | 05653nam a2200937 i 4500 | ||
|---|---|---|---|
| 001 | 5361054 | ||
| 003 | IEEE | ||
| 005 | 20200421114118.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 151221s2010 njua ob 001 eng d | ||
| 020 |
_a9780471683179 _qelectronic |
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| 020 |
_z9780471236535 _qprint |
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| 020 |
_z0471683175 _qelectronic |
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| 024 | 7 |
_a10.1109/9780471683179 _2doi |
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| 035 | _a(CaBNVSL)mat05361054 | ||
| 035 | _a(IDAMS)0b0000648117888a | ||
| 040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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| 050 | 4 |
_aR857.S47 _bB38 2002eb |
|
| 082 | 0 | 4 |
_a610.28011 _222 |
| 100 | 1 |
_aBaura, Gail D., _eauthor. |
|
| 245 | 1 | 0 |
_aSystem theory and practical applications of biomedical signals / _cGail D. Baura. |
| 264 | 1 |
_a[Piscataway, New Jersey] : _bIEEE Press, _cc2002. |
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| 264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2010] |
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| 300 |
_a1 PDF (xxvii, 440 pages) : _billustrations. |
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| 336 |
_atext _2rdacontent |
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| 337 |
_aelectronic _2isbdmedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 490 | 1 |
_aIEEE press series on biomedical engineering ; _v32 |
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| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | _aPreface. Nomenclature. I FILTERS. 1 System Theory and Frequency-Selective Filters. 2 Low Flow Rate Occlusion Detection Using Resistance Monitoring. 3 Adaptive Filters. 4 Improved Pulse Oximetry. 5 Time-Frequency and Time-Scale Analysis. 6 Improved Impedance Cardiography. II MODELS FOR REAL TIME PROCESSING. 7 Linear System Identification. 8 External Defibrillation Waveform Optimization. 9 Nonlinear System Identification. 10 Improved Screening for Cervical Cancer. 11 Fuzzy Models. 12 Continuous Noninvasive Blood Pressure Monitoring: Proof of Concept. III COMPARTMENTAL MODELS. 13 The Linear Compartmental Model. 14 Pharmacologic Stress Testing Using Closed-Loop Drug Delivery. 15 The Nonlinear Compartmental Model. 16 The Role of Nonlinear Compartmental Models in Development of Antiobesity Drugs. IV SYSTEM THEORY IMPLEMENTATION. 17 Algorithm Implementation. 18 The Need for More System Theory in Low-Cost Medical Applications. Glossary. Index. | |
| 506 | 1 | _aRestricted to subscribers or individual electronic text purchasers. | |
| 520 | _aSystem theory is becoming increasingly important to medical applications. Yet, biomedical and digital signal processing researchers rarely have expertise in practical medical applications, and medical instrumentation designers usually are unfamiliar with system theory. System Theory and Practical Applications for Biomedical Signals bridges those gaps in a practical manner, showing how various aspects of system theory are put into practice by industry. The chapters are intentionally organized in groups of two chapters, with the first chapter describing a system theory technology, and the second chapter describing an industrial application of this technology. Each theory chapter contains a general overview of a system theory technology, which is intended as background material for the application chapter. Each application chapter contains a history of a highlighted medical instrument, summary of appropriate physiology, discussion of the problem of interest and previous empirical solutions, and review of a solution that utilizes the theory in the previous chapter. Biomedical and DSP academic researchers pursuing grants and industry funding will find its real-world approach extremely valuable. Its in-depth discussion of the theoretical issues will clarify for medical instrumentation managers how system theory can compensate for less-than-ideal sensors. With application MATLAB?? exercises and suggestions for system theory course work included, the text also fills the need for detailed information for students or practicing engineers interested in instrument design. An Instructor Support FTP site is available from the Wiley editorial department: ftp://ftp.ieee.org/uploads/press/baura. | ||
| 530 | _aAlso available in print. | ||
| 538 | _aMode of access: World Wide Web | ||
| 588 | _aDescription based on PDF viewed 12/21/2015. | ||
| 650 | 0 | _aSignal processing. | |
| 650 | 0 | _aBiomedical engineering. | |
| 650 | 0 | _aSystem theory. | |
| 655 | 0 | _aElectronic books. | |
| 695 | _aAbsorption | ||
| 695 | _aArtificial neural networks | ||
| 695 | _aAtmospheric modeling | ||
| 695 | _aBiographies | ||
| 695 | _aBiomedical imaging | ||
| 695 | _aBiomedical monitoring | ||
| 695 | _aBiomedical signal processing | ||
| 695 | _aBiomedical telemetry | ||
| 695 | _aBlood | ||
| 695 | _aBlood flow | ||
| 695 | _aCardiography | ||
| 695 | _aCardiology | ||
| 695 | _aCervical cancer | ||
| 695 | _aComputer architecture | ||
| 695 | _aDigital signal processing | ||
| 695 | _aDrug delivery | ||
| 695 | _aEmbedded systems | ||
| 695 | _aHardware | ||
| 695 | _aHeart | ||
| 695 | _aHelium | ||
| 695 | _aIndexes | ||
| 695 | _aInformation filters | ||
| 695 | _aInstruments | ||
| 695 | _aKnowledge based systems | ||
| 695 | _aLead | ||
| 695 | _aMonitoring | ||
| 695 | _aNerve fibers | ||
| 695 | _aNoise | ||
| 695 | _aProgram processors | ||
| 695 | _aTerminology | ||
| 695 | _aTime frequency analysis | ||
| 695 | _aUninterruptible power systems | ||
| 695 | _aVariable speed drives | ||
| 695 | _aVentilation | ||
| 710 | 2 |
_aJohn Wiley & Sons, _epublisher. |
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| 710 | 2 |
_aIEEE Xplore (Online service), _edistributor. |
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| 776 | 0 | 8 |
_iPrint version: _z9780471236535 |
| 830 | 0 |
_aIEEE Press series in biomedical engineering ; _v32 |
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| 856 | 4 | 2 |
_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5361054 |
| 942 | _cEBK | ||
| 999 |
_c59629 _d59629 |
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