04036nam 22006975 450 991048343260332120251113181539.03-030-67494-010.1007/978-3-030-67494-6(CKB)4100000011881090(MiAaPQ)EBC6550477(Au-PeEL)EBL6550477(OCoLC)1246582213(PPN)255295111(DE-He213)978-3-030-67494-6(EXLCZ)99410000001188109020210412d2021 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierBiomedical Signal Processing Innovation and Applications /edited by Iyad Obeid, Ivan Selesnick, Joseph Picone1st ed. 2021.Cham :Springer International Publishing :Imprint: Springer,2021.1 online resource (265 pages)Biomedical and Life Sciences Series3-030-67493-2 Includes bibliographical references and index.Chapter 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.This 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.Biomedical and Life Sciences SeriesBiomedical engineeringSignal processingMedical informaticsRadiologyBiomedical Engineering and BioengineeringSignal, Speech and Image ProcessingHealth InformaticsRadiologyBiomedical Devices and InstrumentationBiomedical engineering.Signal processing.Medical informatics.Radiology.Biomedical Engineering and Bioengineering.Signal, Speech and Image Processing.Health Informatics.Radiology.Biomedical Devices and Instrumentation.621.3822Obeid Iyad1975-Selesnick IvanPicone JosephMiAaPQMiAaPQMiAaPQBOOK9910483432603321Biomedical signal processing1900331UNINA