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020			_a9783030674946
024	7		_a10.1007/978-3-030-67494-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK5102.9 _b2021 EB
245	0	0	_aBiomedical Signal Processing . _bInnovation and Applications _cedited by Iyad Obeid, Ivan Selesnick, Joseph Picone
250			_aFirst edition 2021
264		1	_aCham _bSpringer International Publishing _c2021
264		4	_c2021
300			_a1 recurso en línea (VIII, 261 páginas) _b144 ilustraciones, 109 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aArchivo de texto _bPDF
490	0		_aBiomedical and Life Sciences (SpringerNature-11642)
490	0		_aBiomedical and Life Sciences (R0) (SpringerNature-43708)
505	0		_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.
520	3		_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.
988			_aSpringer_BiomedLife_2021
650		7	_2embne _9150608 _aProceso de señales
650		7	_2embne _9140931 _aBiotecnología
700	1		_aObeid, Iyad. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aSelesnick, Ivan. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aPicone, Joseph. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9783030674939
776	0	8	_iPrinted edition: _z9783030674953
776	0	8	_iPrinted edition: _z9783030674960
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-67494-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2022 _dz _ek _zSI