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710	2		_aSpringerLink (Online service) _9106996
999			_c111369 _d111369 _x1
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003			ES-MaUEC
005			20230102113508.0
008			181103s2019 gw a o |||| 0|eng d
020			_a9783030027353
024	7		_a10.1007/978-3-030-02735-3 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aRC350 .N48 _b2019 EB
100	1		_aImatz Ojanguren, Eukene _eautor _9670913
245	1	0	_aNeuro-fuzzy modeling of multi-field surface neuroprostheses for hand grasping _cby Eukene Imatz Ojanguren
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2019
300			_a1 recurso en línea (XVII, 135 páginas) _b90 ilustraciones, 67 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF _2rda
490	0		_aSpringer Theses Recognizing Outstanding Ph.D. Research _x2190-5053
490	0		_aIntelligent Technologies and Robotics (Springer-42732)
505	0		_aIntroduction -- Phisiology -- Functional Electrical Stimulation -- Discomfort analysis -- Pain-maps -- FES modeling -- Computational Intelligence -- Neuro-fuzzy model -- Neuro-fuzzy model -- Conclusions.
520	3		_aThis thesis presents a novel neuro-fuzzy modeling approach for grasp neuroprostheses. At first, it offers a detailed study of discomfort due to the application of Functional Electrical Stimulation to the upper limb. Then, it discusses briefly previous methods to model hand movements induced by FES with the purpose of introducing the new modeling approach based on intelligent systems. This approach is thoroughly described in the book, together with the proposed application to induce hand and finger movements by means of a surface FES system based on multi-field electrodes. The validation tests, carried out on both healthy and neurologically impaired subjects, demonstrate the efficacy of the proposed modeling method. All in all, the book proposes an innovative system based on fuzzy neural networks that is expected to improve the design and validation of advanced control systems for non-invasive grasp neuroprostheses.
988			_aPrimersemestre_2019_Robotics
650		7	_2embne _9158566 _aNeuroestimulación
650		7	_2embne _9143820 _aIngeniería biomédica
650		7	_2embne _9138189 _aPrótesis
776	0	8	_iPrinted edition: _z9783030027346
776	0	8	_iPrinted edition: _z9783030027360
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-02735-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_aSI _cm _dz _feng _ggw _h0 _b10/2019 _eel _zSI