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008			200316s2020 gw | s |||| 0|eng d
020			_a9783030368449
024	7		_a10.1007/978-3-030-36844-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aTK5102.9 _b2020 EB
245	0	0	_aSignal Processing in Medicine and Biology. _bEmerging Trends in Research and Applications _cedited by Iyad Obeid, Ivan Selesnick, Joseph Picone.
250			_aFirst edition 2020.
264		1	_aCham _bSpringer International Publishing _c2020
300			_a1 recurso en línea (VII, 281 páginas) _b128 ilustraciones, 102 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aArchivo de texto _bPDF
490	0		_aEngineering (Springer-11647)
505	0		_aChapter 1. An Analysis of Automated Parkinson's Diagnosis Using Voice: Methodology and Future Directions -- Chapter 2. Noninvasive Vascular Blood Sound Monitoring Through Flexible Microphone -- Chapter 3. The Temple University Hospital Digital Pathology Corpus -- Chapter 4. Transient Artifacts Suppression in Time Series via Convex Analysis -- Chapter 5. The Hurst Exponent - A Novel Approach for Assessing Focus During Trauma Resuscitation -- Chapter 6. Gaussian Smoothing Filter For Improved EMG Signal Modeling -- Chapter 7. Clustering of SCG Events Using Unsupervised Machine Learning -- Chapter 8. Deep Learning Approaches for Automated Seizure Detection from Scalp Electroencephalograms.
520	3		_aThis book covers emerging trends in signal processing research and biomedical engineering, exploring the ways in which signal processing plays a vital role in applications ranging from medical electronics to data mining of electronic medical records. Topics covered include statistical modeling of electroencephalograph data for predicting or detecting seizure, stroke, or Parkinson's; machine learning methods and their application to biomedical problems, which is often poorly understood, even within the scientific community; signal analysis; medical imaging; and machine learning, data mining, and classification. The book features tutorials and examples of successful applications that will appeal to a wide range of professionals and researchers interested in applications of signal processing, medicine, and biology. Covers traditional signal processing topics within biomedicine Promotes collaboration between healthcare practitioners and signal processing researchers Presents tutorials and examples of successful applications.
988			_aSpringer_Engineering_31032020
650		7	_2embne _9150608 _aProceso de señales _vCongresos y asambleas
650		7	_2embne _9143820 _aIngeniería biomédica _vCongresos y asambleas
700	1		_aObeid, Iyad _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aSelesnick, Ivan _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aPicone, Joseph _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783030368432
776	0	8	_iPrinted edition: _z9783030368456
776	0	8	_iPrinted edition: _z9783030368463
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-36844-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b04/2020 _dz _ek _zSI