| 000 | 06044nam a2201177 i 4500 | ||
|---|---|---|---|
| 001 | 5264168 | ||
| 003 | IEEE | ||
| 005 | 20200421114114.0 | ||
| 006 | m o d | ||
| 007 | cr |n||||||||| | ||
| 008 | 100317t20152002njua ob 001 0 eng d | ||
| 020 |
_a9780470544204 _qelectronic |
||
| 020 |
_z9780470911396 _qprint |
||
| 020 |
_z0471208116 _qpaper |
||
| 020 |
_z9781601195708 _qebook |
||
| 020 |
_z1601195702 _qebook |
||
| 020 |
_z0470544201 _qelectronic |
||
| 020 |
_z9780471208116 _qprint |
||
| 024 | 7 |
_a10.1109/9780470544204 _2doi |
|
| 035 | _a(CaBNVSL)mat05264168 | ||
| 035 | _a(IDAMS)0b000064810c405b | ||
| 040 |
_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
||
| 050 | 4 |
_aR857.S47 _bR365 2002eb |
|
| 082 | 0 | 4 |
_a610/.28 _222 |
| 100 | 1 |
_aRangayyan, Rangaraj M., _eauthor. |
|
| 245 | 1 | 0 |
_aBiomedical signal analysis : _ba case-study approach / _cRangaraj M. Rangayyan. |
| 264 | 1 |
_a[Piscataway, New Jersey] : _bIEEE Press, _cc2002. |
|
| 264 | 2 |
_a[Piscataqay, New Jersey] : _bIEEE Xplore, _c[2001] |
|
| 300 |
_a1 PDF (xxxv, 516 pages) : _billustrations. |
||
| 336 |
_atext _2rdacontent |
||
| 337 |
_aelectronic _2isbdmedia |
||
| 338 |
_aonline resource _2rdacarrier |
||
| 490 | 1 |
_aIEEE press series on biomedical engineering ; _v28 |
|
| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | _aFront Matter -- Introduction to Biomedical Signals -- Concurrent, Coupled, and Correlated Processes -- Filtering for Removal of Artifacts -- Event Detection -- Analysis of Waveshape and Waveform Complexity -- Frequency-domain Characterization of Signals and Systems -- Modeling Biomedical Signalb2sgenerating Processes and Systems -- Analysis of Nonstationary Signals -- Pattern Classification and Diagnostic Decision -- References -- Index. | |
| 506 | 1 | _aRestricted to subscribers or individual electronic text purchasers. | |
| 520 | _aThe development of techniques to analyze biomedical signals, such as electro-cardiograms, has dramatically affected countless lives by making possible improved noninvasive diagnosis, online monitoring of critically ill patients, and rehabilitation and sensory aids for the handicapped. Rangaraj Rangayyan supplies a practical, hands-on field guide to this constantly evolving technology in Biomedical Signal Analysis, focusing on the diagnostic challenges that medical professionals continue to face. Dr. Rangayyan applies a problem-solving approach to his study. Each chapter begins with the statement of a different biomedical signal problem, followed by a selection of real-life case studies and the associated signals. Signal processing, modeling, or analysis techniques are then presented, starting with relatively simple "textbook" methods, followed by more sophisticated research approaches. The chapter concludes with one or more application solutions; illustrations of real-life biomedical signals and their derivatives are included throughout. Among the topics addressed are: . Concurrent, coupled, and correlated processes. Filtering for removal of artifacts. Event detection and characterization. Frequency-domain characterization. Modeling biomedical systems. Analysis of nonstationary signals. Pattern classification and diagnostic decision The chapters also present a number of laboratory exercises, study questions, and problems to facilitate preparation for class examinations and practical applications. Biomedical Signal Analysis provides a definitive resource for upper-level under-graduate and graduate engineering students, as well as for practicing engineers, computer scientists, information technologists, medical physicists, and data processing specialists. An authoritative assessment of the problems and applications of biomedical signals, rooted in practical case studies An Instructor Support FTP site is available from the Wiley editorial department: ftp://ftp.ieee.org/uploads/press/rangayyan. | ||
| 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. | |
| 655 | 0 | _aElectronic books. | |
| 695 | _aAnalytical models | ||
| 695 | _aArrays | ||
| 695 | _aBand pass filters | ||
| 695 | _aBibliographies | ||
| 695 | _aBiological system modeling | ||
| 695 | _aBiomedical measurements | ||
| 695 | _aBlood | ||
| 695 | _aBones | ||
| 695 | _aBrain modeling | ||
| 695 | _aComplexity theory | ||
| 695 | _aDelay | ||
| 695 | _aElectrocardiography | ||
| 695 | _aElectrodes | ||
| 695 | _aElectroencephalography | ||
| 695 | _aElectromyography | ||
| 695 | _aEvent detection | ||
| 695 | _aFeature extraction | ||
| 695 | _aFiltering | ||
| 695 | _aFiring | ||
| 695 | _aFrequency domain analysis | ||
| 695 | _aHeart | ||
| 695 | _aHeart rate variability | ||
| 695 | _aIndexes | ||
| 695 | _aInterference | ||
| 695 | _aIons | ||
| 695 | _aJoints | ||
| 695 | _aKnee | ||
| 695 | _aLead | ||
| 695 | _aMathematical model | ||
| 695 | _aMuscles | ||
| 695 | _aMyocardium | ||
| 695 | _aNoise | ||
| 695 | _aOsteoarthritis | ||
| 695 | _aPattern classification | ||
| 695 | _aPressure measurement | ||
| 695 | _aProbability density function | ||
| 695 | _aRandom processes | ||
| 695 | _aResonant frequency | ||
| 695 | _aRhythm | ||
| 695 | _aShape | ||
| 695 | _aSignal processing | ||
| 695 | _aSpeech | ||
| 695 | _aTemperature measurement | ||
| 695 | _aTemperature sensors | ||
| 695 | _aTime domain analysis | ||
| 695 | _aTime measurement | ||
| 695 | _aTransient analysis | ||
| 695 | _aTurning | ||
| 695 | _aValves | ||
| 695 | _aVisualization | ||
| 695 | _aWiener filter | ||
| 710 | 2 |
_aJohn Wiley & Sons, _epublisher. |
|
| 710 | 2 |
_aIEEE Xplore (Online service), _edistributor. |
|
| 776 | 0 | 8 |
_iPrint version: _z9780470911396 |
| 830 | 0 |
_aIEEE Press series in biomedical engineering ; _v28 |
|
| 856 | 4 | 2 |
_3Abstract with links to resource _uhttp://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5264168 |
| 942 | _cEBK | ||
| 999 |
_c59457 _d59457 |
||