000			02735nam a2200325 i 4500
999			_c402213 _d402213
001			402213
003			ES-MaUEC
005			20240607103847.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			230209s2023 sz | fo |||| 0|eng d
020			_a9783031212369
024	7		_a10.1007/978-3-031-21236-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK5102.9 _b2023 EB
245	0	0	_aSignal Processing in Medicine and Biology : _bInnovations in Big Data Processing _cedited by Iyad Obeid, Joseph Picone, Ivan Selesnick
250			_a1st ed. 2023
264		1	_aCham _bSpringer International Publishing _c2023
300			_a1 recurso en línea
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_aLow Latency Real-Time Seizure Detection Using Transfer Deep Learning -- A Feature Learning Approach Based on Multimodal Human Body Data for Emotion Recognition -- Wavelet-Based Convolutional Neural Network for Parkinson's Disease Detection in Resting-State Electroencephalography -- Monitoring of Auditory Discrimination Therapy for Tinnitus Treatment Based on Event-Related (De-) Synchronization Maps -- Spatial Distribution of Seismocardiographic Signal Clustering -- Noninvasive Detection of Elevated Intracranial Pressure Using Spectral Analysis of Tympanic Membrane Pulsation Signals -- The Temple University Digital Pathology Corpus: The Breast Tissue Subset.
520			_aSignal Processing in Medicine and Biology: Innovations in Big Data Processing provides an interdisciplinary look at state-of-the-art innovations in biomedical signal processing, especially as it applies to large data sets and machine learning. Chapters are presented with detailed mathematics and complete implementation specifics so that readers can completely master these techniques. The book 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 at the intersection between healthcare, engineering, and computer science. Presents state-of-the-art innovations in biomedical signal processing; Promotes collaboration in signal processing research and biomedicine; Includes tutorials and examples of successful applications.
988			_aSpringer_Medicine_2023
650		7	_2embne _9150609 _aProceso digital de señales
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-21236-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b06/2024 _dz _eb _zSI