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001435883 001__ 1435883
001435883 003__ OCoLC
001435883 005__ 20230309003957.0
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001435883 019__ $$a1246351685
001435883 020__ $$a9783030674946$$q(electronic bk.)
001435883 020__ $$a3030674940$$q(electronic bk.)
001435883 020__ $$z9783030674939
001435883 020__ $$z3030674932
001435883 0247_ $$a10.1007/978-3-030-67494-6$$2doi
001435883 035__ $$aSP(OCoLC)1246582213
001435883 040__ $$aEBLCP$$beng$$erda$$epn$$cEBLCP$$dYDX$$dGW5XE$$dOCLCO$$dOCLCF$$dUKAHL$$dOCLCQ$$dOCLCO$$dCOM$$dOCLCQ
001435883 049__ $$aISEA
001435883 050_4 $$aTK5102.9
001435883 08204 $$a621.382/2$$223
001435883 24500 $$aBiomedical signal processing :$$binnovation and applications /$$cIyad Obeid, Ivan Selesnick, Joseph Picone, editors.
001435883 264_1 $$aCham :$$bSpringer,$$c[2021]
001435883 300__ $$a1 online resource (265 pages)
001435883 336__ $$atext$$btxt$$2rdacontent
001435883 337__ $$acomputer$$bc$$2rdamedia
001435883 338__ $$aonline resource$$bcr$$2rdacarrier
001435883 500__ $$aIncludes index.
001435883 5050_ $$aChapter 1. Multi-CLASS fNIRS Classification of Motor Execution Tasks with Application to Brain Computer Interfaces -- Chapter 2. A Comparative Study of End-to-End Discriminative Deep Learning Models for Knee Joint Kinematic Time Series Classification -- Chapter 3. Nonlinear Smoothing of Data with Random Gaps and Outliers (DRAGO) Improves Estimation of Circadian Rhythm -- Chapter 4. Wearable Smart Garment Devices for Passive Biomedical Monitoring -- Chapter 5. Spatial Distribution of Seismocardiographic Signals -- Chapter 6. Noninvasive Vascular Blood Sound Monitoring Through Flexible Pvdf Microphone -- Chapter 7. Fast Automatic Artifact Annotator for EEG Signals Using Deep Learning -- Chapter 8. Objective evaluation metrics for automatic classification of EEG events.
001435883 506__ $$aAccess limited to authorized users.
001435883 520__ $$aThis book provides an interdisciplinary look at emerging trends in signal processing and biomedicine found at the intersection of healthcare, engineering, and computer science. It examines the vital role signal processing plays in enabling a new generation of technology based on big data, and looks at applications ranging from medical electronics to data mining of electronic medical records. Topics covered include analysis of medical images, machine learning, biomedical nanosensors, wireless technologies, and instrumentation and electrical stimulation. Biomedical Signal Processing: Innovation and Applications presents tutorials and examples of successful applications, and will appeal to a wide range of professionals, researchers, and students interested in applications of signal processing, medicine, and biology. Presents an interdisciplinary look at research trends in signal processing and biomedicine; Promotes collaboration between healthcare practitioners and signal processing researchers; Includes tutorials and examples of successful applications.
001435883 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 21, 2021).
001435883 650_0 $$aSignal processing$$xDigital techniques.
001435883 650_0 $$aBiomedical engineering.
001435883 650_6 $$aTraitement du signal$$xTechniques numériques.
001435883 650_6 $$aGénie biomédical.
001435883 655_0 $$aElectronic books.
001435883 7001_ $$aObeid, Iyad,$$d1975-$$eeditor.
001435883 7001_ $$aSelesnick, Ivan,$$eeditor.
001435883 7001_ $$aPicone, Joseph,$$eeditor.
001435883 77608 $$iPrint version:$$aObeid, Iyad.$$tBiomedical Signal Processing.$$dCham : Springer International Publishing AG, ©2021$$z9783030674939
001435883 852__ $$bebk
001435883 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-67494-6$$zOnline Access$$91397441.1
001435883 909CO $$ooai:library.usi.edu:1435883$$pGLOBAL_SET
001435883 980__ $$aBIB
001435883 980__ $$aEBOOK
001435883 982__ $$aEbook
001435883 983__ $$aOnline
001435883 994__ $$a92$$bISE