MARC Record from Library of Congress

LEADER: 02344cam a2200409 i 4500
001 2013031006
003 DLC
005 20150620080944.0
008 130801t20152015flua b 001 0 eng
010 $a 2013031006
020 $a9781466510418 (hbk. : alk. paper)
020 $a1466510412 (hbk. : alk. paper)
035 $a(DNLM)101613931
040 $aDNLM/DLC$cDLC$erda$dDLC
042 $apcc
050 00 $aRC78.7.D35$bC35 2015
050 14 $aR857.O6
060 10 $aWB 141
082 00 $a610.28$223
100 1 $aCai, Yang,$d1961-$eauthor.
245 10 $aAmbient diagnostics /$cYang Cai, Carnegie Mellon University, Pittsburgh, Pennsylvania.
264 1 $aBoca Raton :$bCRC Press, Taylor & Francis Group,$c[2015]
264 4 $c©2015
300 $axvii, 386 pages :$billustrations (some color) ;$c25 cm
336 $atext$2rdacontent
337 $aunmediated$2rdamedia
338 $avolume$2rdacarrier
504 $aIncludes bibliographical references and index.
505 0 $aTransformation -- Pattern recognition -- Sound recognition -- Color sensors -- Kinect sensors -- Video analytics -- Fatigue sensing -- Mobile sensors -- Body media -- Pocket microscopes -- Personal spectrometers -- Remote sensing -- Games for diagnosis -- Social media.
520 $a"In everyday life, we often recognize patterns from ad-hoc sensors and make intuitive decisions. This process is known as ambient diagnostics. This textbook is written for emerging courses in biomedical engineering, electrical engineering, and computer science that explore intelligent software diagnostics from affordable devices, such as sensors on mobile phones, microphones, cameras, and gyroscopes. The text inspires readers to design and develop tools tor personal health monitoring and diagnosis. It is a visionary attempt to enable pervasive monitoring of changing health status, multiple sensory fusion, and telemedicine right from one's pocket. This in turn will significantly reduce the cost of healthcare and improve quality of life"--Provided by publisher.
650 0 $aDiagnosis$xData processing.
650 0 $aAmbient intelligence.
650 0 $aMobile computing.
650 12 $aDiagnosis, Computer-Assisted$xmethods.
650 22 $aComputing Methodologies.
650 22 $aDiagnosis, Computer-Assisted$xinstrumentation.
650 22 $aDiagnostic Equipment.