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008			170511s2017 sz ob 000 0 eng d
020			_a3319585983 _q(electronic bk.)
020			_a9783319585987 _q(electronic bk.)
020			_z3319585975
020			_z9783319585970 _q(print)
040			_aN$T _cN$T _dEBLCP _dN$T _dGW5XE _dYDX _dOCLCF _dUAB _dESU _dAZU _dUPM _dIOG _dCOO _dMERER _dOCLCQ _dU3W _dES-MaUEC _bspa
050		4	_aRC967.5 _bI538 2017 EB
245	0	0	_aIndustrial neuroscience in aviation : _bevaluation of mental states in aviation personnel _cGianluca Borghini, Pietro Aricò, Gianluca Di Flumeri, Fabio Babiloni.
264		1	_aCham, Switzerland _bSpringer _c2017.
300			_a1 recurso en línea
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF
490	0		_aBiosystems & biorobotics _vvolume 18
500			_aSpringerLink _bSpringer Engineering eBooks 2017 English+International
504			_aIncluye referencias bibliográficas
505	0		_aPreface; Contents; Abbreviations; List of Tables; 1 Introduction; References; 2 Preliminary Concepts; 2.1 Nervous System; 2.1.1 Basic Neurophysiology; 2.1.2 EEG Generation; References; 3 Mental States in Aviation; 3.1 Aviation Medicine Hystory; 3.2 Mental Workload; 3.3 Cognitive Control Behavior; 3.4 Training; 3.5 Crew Resourses Management; References; 4 Cognitive Processes; 4.1 Working Memory; 4.2 Attention; 4.3 Decision-Making; 4.4 Procedural Memory; References; 5 Simulators; 5.1 Simulators; 5.2 NASA-Multi Attribute Task Battery (MATB); 5.3 ATM Environment; 5.4 Flight Simulators; References.
505	8		_a6 Neurophysiological Signals Processing6.1 EEG Analysis; 6.2 Estimation of Brain Cortical Sources Current Density; 6.3 Generation of the Regions of Interest (ROIs); 6.4 EEG-Based Mental Workload Index (WEEG); 6.5 Inter-brain Connections; 6.5.1 Coherence (COH); 6.5.2 Partial Directed Coherence (PDC); 6.5.3 Phase Locking Value (PLV); 6.6 Autonomic Data Analysis; 6.7 Machine Learning; 6.7.1 Supervised Learning Systems; 6.7.2 Unsupervised Learning Systems; 6.7.3 Reinforcement Learning System; 6.7.4 Linear Discriminant Analysis (LDA); 6.7.5 Stepwise Linear Discriminant Analysis (SWLDA).
505	8		_a6.7.6 Automatic-Stop SWLDA (asSWLDA)6.7.6.1 asSWLDA Over-Time Stability; 6.7.6.2 Mental Workload Discrimination; 6.7.6.3 Discussion and Conclusions; 6.8 Self-reported Questionnaires; 6.8.1 NASA-Task Load Index (NASA-TLX); 6.8.2 Instantaneous Self Assessment (ISA); References; 7 Applications; 7.1 Mental Workload Evaluation; 7.1.1 Air Traffic Controllers' Mental Workload Evaluation; 7.1.2 Mental Workload and CRM Evaluation in Commercial Fligths; 7.1.3 Military Pilots Comparison from a Cognitive Perspective; 7.1.4 Mental Workload Evaluation in Real Flights.
505	8		_a7.1.5 Neuroergonomics: Avionic Technologies Testing7.2 Training Assessment; 7.3 Expertise Estimation of Professional ATCOs; References; 8 General Conclusions; References.
520	3		_aThis book discusses the emerging field of industrial neuroscience, and reports on the authors' cutting-edge findings in the evaluation of mental states, including mental workload, cognitive control and training of personnel involved either in the piloting of aircraft and helicopters, or in managing air traffic. It encompasses neuroimaging and cognitive psychology techniques and shows how they have been successfully applied in the evaluation of human performance and human-machine interactions, and to guarantee a proper level of safety in such operational contexts. With an introduction to the most relevant concepts of neuroscience, neurophysiological techniques, simulators and case studies in aviation environments, it is a must-have for both students and scientists in the field of aeronautic and biomedical engineering, as well as for various professionals in the aviation world. This is the first book to intensively apply neurosciences to the evaluation of human factors and mental states in aviation.
650		7	_aPsiquiatría _2embne _0(OCoLC)fst00971596 _0 _9139041
700	1		_aAricò, Pietro, _eautor
700	1		_aBabiloni, Fabio, _eautor
700	1		_aBorghini, Gianluca, _eautor
700	1		_aFlumeri, Gianluca Di, _eautor
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-58598-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988			_aEBOOK, asignarmaterias, EBSPRINGER_2017D
998			_b02/2018 _dz _e- _zSI
999			_c95973 _d95973 _x1