000			03807nam a2200457 c 4500
988			_aSpringer_Engineering_2020
999			_c114427 _d114427 _x1
001			114427
003			ES-MaUEC
005			20230110040221.0
006			a||||fo|||| 00| 0
007			cr nn nnnaamaa
008			190729s2020 gw a o |||| 0|eng d
020			_a9783030217266
024	7		_a10.1007/978-3-030-21726-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aR856 .A2 _b2020 EB
245	0	0	_aBiomedical Engineering and Computational Intelligence : _bProceedings of The World Thematic Conference-Biomedical Engineering and Computational Intelligence, BIOCOM 2018 _cedited by João Manuel R. S. Tavares, Nilanjan Dey, Amit Joshi
250			_aFirst edition
264		1	_aCham _bSpringer International Publishing _c2020
300			_a1 recurso en línea (XIV, 112 páginas) _b51 ilustraciones, 33 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aLecture Notes in Computational Vision and Biomechanics _x2212-9391 _v32
490	0		_aEngineering (Springer-11647)
505	0		_aChapter 1. Bioinspired Approach to Inverse Kinematic Problem -- Chapter 2. Assessment of Two Musculoskeletal Models in Children with Crouch Gait -- Chapter 3. Low-Complexity Classi cation Algorithm to Identify Drivers' Stress using Electrodermal Activity (EDA) Measurements -- Chapter 4. 3D Model of Blood Flow for Magnetohydrodynamics Study -- Chapter 5. Nonlinear Autoregressive Model Design and Optimization based on ANN for the Prediction of Chaotic Patterns in EEG Time Series -- Chapter 6. Using a coupled MDOF biodynamic model to study the effect of curvature of spine on lumbar spine compression under axial loads -- Chapter 7. Applied logics to develop ontology model of complex-structured domains: organic chemistry and biochemistry -- Chapter 8. Analysis of HD-sEMG signals using Channel Clustering Based on Time Domain Features For Functional Assessment with Ageing -- Chapter 9. Effect of reduced point NIR spectroscopy on glucose prediction error in human blood tissue -- Chapter 10. Data augmentation for Signature Images in On-line Verification Systems.
520	3		_aThis book reports on timely research at the interface between biomedical engineering and intelligence technologies applied to biology and healthcare. It covers cutting-edge methods applied to biomechanics and robotics, EEG time series analysis, blood glucose prediction models, among others. It includes ten chapters, which were selected upon a rigorous peer-review process and presented at the 1st World Thematic Conference - Biomedical Engineering and Computational Intelligence, BIOCOM 2018, held in London, United Kingdom, during October 30-31, 2018.
650		7	_2embne _9143820 _aIngeniería biomédica _xCongresos y asambleas
650		7	_2embne _9421371 _aInteligencia artificial en medicina _xCongresos y asambleas
650		7	_2embne _aBiomecánica _vCongresos y asambleas _9143819
700	1		_aTavares, João Manuel R. S _eeditor _0(orcid)0000-0001-7603-6526 _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aDey, Nilanjan, _d1984- _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _998032
700	1		_aJoshi, Amit _eeditor _4edt _4http://id.loc.gov/vocabulary/relators/edt _9100744
776	0	8	_iPrinted edition: _z9783030217259
776	0	8	_iPrinted edition: _z9783030217273
776	0	8	_iPrinted edition: _z9783030217280
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-21726-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b12/2019 _eel _zSI