000			16071nam a2202773 i 4500
001			5201452
003			IEEE
005			20230927112341.0
006			m o d
007			cr |n|||||||||
008			070425t20152007njua ob 001 0 eng d
020			_a9780470068298 _qelectronic
020			_z047005669X _qpaper
020			_z9780470056691 _qpaper
020			_z1601195036 _qelectronic
020			_z9781601195036 _qelectronic
020			_z0470068299 _qelectronic
024	7		_a10.1002/0470068299 _2doi
035			_a(CaBNVSL)mat05201452
035			_a(IDAMS)0b0000648104a8f5
040			_aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL
082	0	4	_a612.8/01/13
084			_a44.90 _2bcl
245	0	0	_aHandbook of neural engineering / _cedited by Metin Akay.
264		1	_aHoboken, New Jersey : _bWiley, _cc2007.
300			_a1 PDF (xvi, 662 pages) : _billustrations.
336			_atext _2rdacontent
337			_aelectronic _2isbdmedia
338			_aonline resource _2rdacarrier
490	1		_aIEEE Press Series on Biomedical Engineering ; _v21
504			_aIncludes bibliographical references and index.
505	0		_aPreface. -- Contributors. -- Part I: Neural Signal And Image Processing And Modeling. -- Chapter 1: Optimal Signal Processing For Brain-machine Interfaces (justin C. Sanchez And Jose C. Principe). -- Chapter 2: Modulation Of Electrophysiological Activity In Neural Networks: Toward A Bioartificial Living System (laura Bonzano, Alessandro Vato, Michela Chiappalone, And Sergio Martinoia). -- Chapter 3: Estimation Of Posterior Probabilities With Neural Networks: Application To Microcalcification Detection In Breast Cancer Diagnosis (Juan Ignacio Arribas, Jesus Cid-sueiro, And Carlos Alberola-lopez). -- Chapter 4: Identification Of Central Auditory Processing Disorders By Binaurally Evoked Brainstem Responses (Daniel J. Strauss, Wolfgang Delb, And Peter K. Plinkert). -- Chapter 5: Functional Characterization Of Adaptive Visual Encoding (Nicholas A. Lesica And Garrett B. Stanley). -- Chapter 6: Deconvolution Of Overlapping Auditory Brainstem Responses Obtained At High Stimulus Rates (O. Ozdamar, R. E. Delgado, E. Yavuz, And N. Acikgoz). -- Chapter 7: Autonomic Cardiac Modulation At Sinoatrial And Atrioventricular Nodes: Observations And Models (s. Ward, R. Shouldice, C. Heneghan, P. Nolan, And G. Mcdarby). -- Chapter 8: Neural Networks And Time-frequency Analysis Of Surface Electromyographic Signals For Muscle Cerebral Control (Bruno Azzerboni, Maurizio Ipsale, Fabio La Foresta, And Francesco Carlo Morabito). -- Chapter 9: Multiresolution Fractal Analysis Of Medical Images (Khan M. Iftekharuddin And Carlos Parra). -- Chapter 10: Methods For Neural-network-based Segmentation Of Magnetic Resonance Images (Lia Morra, Silvia Delsanto, And Fabrizio Lamberti). -- Chapter 11: High-resolution Eeg And Estimation Of Cortical Activity For Brain-computer Interface Applications (F. Cincotti, M. Mattiocco, D. Mattia, F. Babiloni, And L. Astolfi) -- Chapter 12: Estimation Of Cortical Sources Related To Short-term Memory In Humans With Highresolution Eeg Recordings And Statistical Probability Mapping (L. Astolfi, D. Mattia, F. Babiloni, And F. Cincotti).
505	8		_achapter 13: Exploring Semantic Memory Areas By Functional Mri (G. Rizzo, P. Vitali, G. Baselli, M. Tettamanti, P. Scifo, S. Cerutti, D. Perani, And F. Fazio). -- Part Ii: Neuro-nanotechnology: Artificial Implants And Neural Protheses. -- Chapter 14: Restoration Of Movement By Implantable Neural Motor Prostheses (Thomas Sinkjar And Dejan B. Popovic). -- Chapter 15: Hybrid Olfactory Biosensor Using Multichannel Electroantennogram: Design And Application (John R. Hetling, Andrew J. Myrick, Kye-chung Park, And Thomas C. Baker). -- Chapter 16: Reconfigurable Retina-like Preprocessing Platform For Cortical Visual Neuroprostheses (Samuel Romero, Francisco J. Pelayo, Christian A. Morillas, Antonio Martinez, And Eduardo Fernandez). -- Chapter 17: Biomimetic Integration Of Neural And Acoustic Signal Processing (Rolf Muller And Herbert Peremans). -- Chapter 18: Retinal Image And Phosphene Image: An Analogy (Luke E. Hallum, Spencer C. Chen, Gregg J. Suaning, And Nigel H. Lovell). -- Chapter 19: Brain-implantable Biomimetic Electronics As Neural Prostheses To Restore Lost Cognitive Function (Theodore W. Berger, Ashish Ahuja, Spiros H. Courellis, Gopal Erinjippurath, Ghassan Gholmieh, John J. Granacki, Min Chi Hsaio, Jeff Lacoss, Vasilis Z. Marmarelis, Patrick Nasiatka, Vijay Srinivasan, Dong Song, Armand R. Tanguay, Jr., And Jack Wills). -- Chapter 20: Advances In Retinal Neuroprosthetics (Nigel H. Lovell, Luke E. Hallum, Spencer C. Chen, Socrates Dokos, Philip Byrnes-preston, Rylie Green, Laura Poole-warren, Torsten Lehmann, And Gregg J. Suaning). -- Chapter 21: Towards A Cultured Neural Probe: Patterning Of Networks And Their Electrical Activity (W. L. C. Rutten, T. G. Ruardij, E. Marani, And B. H. Roelofsen). -- Chapter 22: Spike Superposition Resolution In Multichannel Extracellular Neural Recordings: A Novel Approach (Karim Oweiss And David Anderson). -- Chapter 23: Toward A Button-sized 1024-site Wireless Cortical Microstimulating Array (Maysam Ghovanloo And Khalil Najafi).
505	8		_aChapter 24: Practical Considerations In Retinal Neuroprosthesis Design (Gregg J. Suaning, Luke E. Hallum, Spencer Chen, Philip Preston, Socrates Dokos, And Nigel H. Lovell). -- Part Iii: Neurorobotics And Neural Rehabilation Engineering. -- Chapter 25: Interfacing Neural And Artificial Systems: From Neuroengineering To Neurorobotics (P. Dario, C. Laschi, A. Menciassi, E. Guglielmelli, M. C. Carrozza, And S. Micera). -- Chapter 26: Neurocontroller For Robot Arms Based On Biologically Inspired Visuomotor Coordination Neural Models (E. Guglielmelli, G. Asuni, F. Leoni, A. Starita, And P. Dario). -- Chapter 27: Muscle Synergies For Motor Control (Andrea D'avella And Matthew Tresch). -- Chapter 28: Robots With Neural Building Blocks (Henrik Hautop Lund And Jacob Nielsen) -- Chapter 29: Decoding Sensory Stimuli From Populations Of Neurons: Methods For Long-term Longitudinal Studies (Guglielmo Foffani, Banu Tutunculer, Steven C. Leiser, And Karen A. Moxon) -- Chapter 30: Model Of Mammalian Visual System With Optical Logic Cells (J. A. Mart&1acute;n-pereda And A. Gonz�i��lez Marcos). -- Chapter 31: Cns Reorganization During Sensory-supported Treadmill Training (I. Cikajlo, Z. Matjačić, And T. Bajd). -- Chapter 32: Independent Component Analysis Of Surface Emg For Detection Of Single Motoneurons Firing In Voluntary Isometric Contraction (Gonzalo A. Garc&1acute;a, Ryuhei Okuno, And Kenzo Akazawa). -- Chapter 33: Recent Advances In Composite Aep/eeg Indices For Estimating Hypnotic Depth During General Anesthesia? (Erik Weber Jensen, Pablo Martinez, Hector Litvan, Hugo Vereecke, Bernardo Rodriguez, And Michel M. R. F. Struys). -- Chapter 34: Eng Recording Amplifier Configurations For Tripolar Cuff Electrodes (I. F. Triantis, A. Demosthenous, M. S. Rahal, And N. Donaldson). -- Chapter 35: Cable Equation Model For Myelinated Nerve Fiber (P. D. Einziger, L. M. Livshitz, And J. Mizrahi). -- Chapter 36: Bayesian Networks For Modeling Cortical Integration Paul Sajda, Kyungim Baek And Leif Finkel).
505	8		_aChapter 37: Normal And Abnormal Auditory Information Processing Revealed By Nonstationary Signal Analysis Of Eeg (Ben H. Jansen, Anant Hegde, Jacob Ruben, And Nashaat N. Boutros). -- Chapter 38: Probing Oscillatory Visual Dynamics At The Perceptual Level (H. Fotowat, H. &gcaron;men, H. E. Bedell, And B. G. Breitmeyer). -- Chapter 39: Nonlinear Approaches To Learning And Memory (Klaus Lehnertz). -- Chapter 40: Single-trial Analysis Of Eeg For Enabling Cognitive User Interfaces (Adam D. Gerson, Lucas C. Parra, And Paul Sajda). -- Index. -- About The Editor.
506	1		_aRestricted to subscribers or individual electronic text purchasers.
520			_aAn important new work establishing a foundation for future developments in neural engineering The Handbook of Neural Engineering provides theoretical foundations in computational neural science and engineering and current applications in wearable and implantable neural sensors/probes. Inside, leading experts from diverse disciplinary groups representing academia, industry, and private and government organizations present peer-reviewed contributions on the brain-computer interface, nano-neural engineering, neural prostheses, imaging the brain, neural signal processing, the brain, and neurons. The Handbook of Neural Engineering covers: . Neural signal and image processing--the analysis and modeling of neural activity and EEG-related activities using the nonlinear and nonstationary analysis methods, including the chaos, fractal, and time-frequency and time-scale analysis methods--and how to measure functional, physiological, and metabolic activities in the human brain using current and emerging medical imaging technologies. Neuro-nanotechnology, artificial implants, and neural prosthesis--the design of multi-electrode arrays to study how the neurons of human and animals encode stimuli, the evaluation of functional changes in neural networks after stroke and spinal cord injuries, and improvements in therapeutic applications using neural prostheses. Neurorobotics and neural rehabilitation engineering--the recent developments in the areas of biorobotic system, biosonar head, limb kinematics, and robot-assisted activity to improve the treatment of elderly subjects at the hospital and home, as well as the interactions of the neuron chip, neural information processing, perception and neural dynamics, learning memory and behavior, biological neural networks, and neural control.
530			_aAlso available in print.
538			_aMode of access: World Wide Web.
588			_aDescription based on PDF viewed 12/18/2015.
650	1	2	_aBiomedical Engineering.
650	2	2	_aImage Interpretation, Computer-Assisted.
650	2	2	_aNervous System.
650	2	2	_aNeural Networks (Computer)
650	2	2	_aProstheses and Implants.
650	2	2	_aRobotics.
650	2	2	_aSignal Processing, Computer-Assisted.
650	2	2	_aUser-Computer Interface.
650		0	_aComputational neuroscience.
650		0	_aBiomedical engineering.
650		0	_aNeural networks (Neurobiology)
650		0	_aNeural networks (Computer science)
650		0	_aNervous system _xComputer simulation.
655		0	_aElectronic books.
695			_aPredictive models
695			_aProbability distribution
695			_aProbes
695			_aProsthetics
695			_aProteins
695			_aProtocols
695			_aRadiation detectors
695			_aRadio frequency
695			_aReal time systems
695			_aRecruitment
695			_aRegisters
695			_aResonant frequency
695			_aRetina
695			_aRobot kinematics
695			_aRobot sensing systems
695			_aRobots
695			_aRubber
695			_aScalp
695			_aSchedules
695			_aSections
695			_aSemantics
695			_aSemiconductor optical amplifiers
695			_aSenior citizens
695			_aSensitivity
695			_aSensors
695			_aShape
695			_aSignal analysis
695			_aSignal processing
695			_aSignal resolution
695			_aSilicon
695			_aSkull
695			_aSoftware
695			_aSonar
695			_aSurface reconstruction
695			_aSurgery
695			_aSuspensions
695			_aSynchronization
695			_aTactile sensors
695			_aTesting
695			_aTime domain analysis
695			_aTime frequency analysis
695			_aTime series analysis
695			_aTime varying systems
695			_aTorque
695			_aTorque measurement
695			_aTraining
695			_aTransducers
695			_aTransient analysis
695			_aTumors
695			_aUser interfaces
695			_aVectors
695			_aVisual prosthesis
695			_aVisual system
695			_aVisualization
695			_aWavelet analysis
695			_aWavelet packets
695			_aWavelet transforms
695			_aWire
695			_aWireless communication
695			_aAcoustics
695			_aAdaptation model
695			_aAerospace electronics
695			_aAnalytical models
695			_aAnesthesia
695			_aAnimals
695			_aAntennas
695			_aArrays
695			_aArtificial neural networks
695			_aAuditory system
695			_aBatteries
695			_aBayesian methods
695			_aBinary trees
695			_aBiographies
695			_aBiological neural networks
695			_aBiological system modeling
695			_aBiomedical imaging
695			_aBiomedical measurements
695			_aBiomedical optical imaging
695			_aBiomembranes
695			_aBiosensors
695			_aBrain
695			_aBrain modeling
695			_aBrain models
695			_aChemicals
695			_aCoherence
695			_aCompounds
695			_aComputational modeling
695			_aComputers
695			_aConductivity
695			_aConnectors
695			_aCorrelation
695			_aCost function
695			_aCovariance matrix
695			_aDeconvolution
695			_aDifferential equations
695			_aDiffraction
695			_aDiscrete wavelet transforms
695			_aDriver circuits
695			_aDrugs
695			_aEar
695			_aElectric potential
695			_aElectrodes
695			_aElectroencephalography
695			_aElectromyography
695			_aElectrophysiology
695			_aEncoding
695			_aEpilepsy
695			_aEquations
695			_aError correction
695			_aEstimation
695			_aFabrication
695			_aFace
695			_aFatigue
695			_aFeature extraction
695			_aFinite impulse response filter
695			_aForce
695			_aFractals
695			_aGenerators
695			_aGeometry
695			_aGlass
695			_aHead
695			_aHeart rate
695			_aHippocampus
695			_aHistograms
695			_aHospitals
695			_aHumans
695			_aImage color analysis
695			_aImage segmentation
695			_aImpedance
695			_aImplants
695			_aIndexes
695			_aInformation processing
695			_aInsects
695			_aIntegrated circuit modeling
695			_aInterference
695			_aKinematics
695			_aKnee
695			_aLead
695			_aLegged locomotion
695			_aLight emitting diodes
695			_aLighting
695			_aMagnetic heads
695			_aMagnetic resonance
695			_aMagnetic resonance imaging
695			_aMaterials
695			_aMathematical model
695			_aMicroelectrodes
695			_aModulation
695			_aMonitoring
695			_aMotor drives
695			_aMultiresolution analysis
695			_aMuscles
695			_aNanotechnology
695			_aNerve fibers
695			_aNervous system
695			_aNeural engineering
695			_aNeurons
695			_aNoise
695			_aNoise reduction
695			_aOlfactory
695			_aOptical crosstalk
695			_aOptical imaging
695			_aOptical pulses
695			_aOptical sensors
695			_aOptics
695			_aOscillators
695			_aPathology
695			_aPattern recognition
695			_aPhotoreceptors
695			_aPixel
695			_aPositrons
695			_aPower cables
700	1		_aAkay, Metin. _4edt
710	2		_aIEEE Engineering in Medicine and Biology Society.
710	2		_aIEEE Xplore (Online service), _edistributor.
776	0	8	_iPrint version: _z9780470056691
830		0	_aIEEE Press Series on Biomedical Engineering ; _v21
856	4	2	_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=5201452
999			_c39930 _d39930