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• 000 02990cam a2200361 i 4500

• 001 0000954884

• 003 OCoLC

• 005 20230215124100.0

• 008 210417s2021 sz 001 0 eng d

• 020 __ |a 9783030674939 |q hardback : |c CNY613.59

• 020 __ |a 3030674932 |q hardback

• 020 __ |z 9783030674946 |q electronic book

• 020 __ |z 3030674940 |q electronic book

• 040 __ |a EBLCP |b eng |c EBLCP |e rda |d YDX |d GW5XE |d OCLCO |d OCLCF

• 050 _4 |a TK5102.9

• 082 04 |a 621.382/2 |2 23

• 090 __ |a TN911.7/B615

• 093 __ |a TN911.7 |2 5

• 245 00 |a Biomedical signal processing : |b innovation and applications / |c Iyad Obeid, Ivan Selesnick, Joseph Picone, editors.

• 264 _1 |a Cham : |b Springer, |c [2021]

• 300 __ |a 265 pages ; |c 24 cm

• 336 __ |a text |b txt |2 rdacontent

• 337 __ |a unmediated |b n |2 rdamedia

• 338 __ |a volume |b nc |2 rdacarrier

• 500 __ |a Includes index.

• 505 0_ |a 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.

• 520 __ |a 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.

• 650 _0 |a Signal processing |x Digital techniques.

• 650 _0 |a Biomedical engineering.

• 700 1_ |a Obeid, Iyad, |d 1975- |e editor.

• 700 1_ |a Selesnick, Ivan, |e editor.

• 700 1_ |a Picone, Joseph, |e editor.

• 920 __ |a 242450 |z 1