TY  - BOOK
AU  - Obeid,Iyad
AU  - Picone,Joseph
AU  - Selesnick,Ivan
ED  - SpringerLink (Online service)
TI  - Biomedical Sensing and Analysis: Signal Processing in Medicine and Biology 
SN  - 9783030993832
PY  - 2022///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Biomedical engineering
KW  - Signal processing
KW  - Image processing
KW  - Medicine—Research
KW  - Biology—Research
KW  - Bioinformatics
KW  - Biomedical Engineering and Bioengineering
KW  - Digital and Analog Signal Processing
KW  - Image Processing
KW  - Biomedical Devices and Instrumentation
KW  - Biomedical Research
KW  - Biosensing Techniques
KW  - Signal Processing, Computer-Assisted
KW  - Biometric Identification
N1  - 1. Restriction Synthesis and DNA Restriction Site Analysis Using Machine Learning -- 2.Human Detection and Biometric Authentication With Ambient Sensors -- 3. Generalization of Deep Acoustic and NLP Models for Large-Scale Depression Screening -- 4. TABS: Transformer Based Seizure Detection -- 5.Automated Pacing Artifact Removal from Electrocardiograms
N2  - This book provides an interdisciplinary look at emerging trends in signal processing and biomedicine found at the intersection of healthcare, engineering, and computer science. Bringing together expanded versions of selected papers presented at the 2020 IEEE Signal Processing in Medicine and Biology Symposium (IEEE SPMB), 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 Sensing and Analysis: Signal Processing in Medicine and Biology 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
UR  - https://doi.org/10.1007/978-3-030-99383-2
ER  -