about
Elective amputation and bionic substitution restore functional hand use after critical soft tissue injuries.Motor Unit Characteristics after Targeted Muscle Reinnervation.Game-Based Rehabilitation for Myoelectric Prosthesis Control.Translating Research on Myoelectric Control into Clinics-Are the Performance Assessment Methods Adequate?Broadband Prosthetic Interfaces: Combining Nerve Transfers and Implantable Multichannel EMG Technology to Decode Spinal Motor Neuron ActivityNoninvasive, accurate assessment of the behavior of representative populations of motor units in targeted reinnervated muscles.A Structured Rehabilitation Protocol for Improved Multifunctional Prosthetic Control: A Case Study.Common Synaptic Input to Motor Neurons and Neural Drive to Targeted Reinnervated Muscles.Longitudinal high-density EMG classification: Case study in a glenohumeral TMR subject.High-Density Electromyography and Motor Skill Learning for Robust Long-Term Control of a 7-DoF Robot Arm.Bayesian Filtering of Surface EMG for Accurate Simultaneous and Proportional Prosthetic Control.Context-Dependent Upper Limb Prosthesis Control for Natural and Robust Use.Is accurate mapping of EMG signals on kinematics needed for precise online myoelectric control?Online mapping of EMG signals into kinematics by autoencoding.Peripheral nerve transfers change target muscle structure and functionPredicting wrist kinematics from motor unit discharge timings for the control of active prosthesesNew developments in prosthetic arm systems.Directional Forgetting for Stable Co-Adaptation in Myoelectric Control.Functional Outcome Scores With Standard Myoelectric Prostheses in Below-Elbow Amputees
P50
Q30819760-922CB800-F67C-4C05-9F40-F2D481E0769CQ35931237-CF3CDC59-1B85-478F-BC89-89B9E0F98C79Q38546167-CA9CDBF3-7A8C-4321-BFC8-696F4C2945A1Q38928561-7832C8EB-BE45-4F0B-BE13-CF9CDE62C3F8Q41050823-5ACE1ABB-F0AD-4DDE-A7EA-37C9ACC2D6E3Q42656669-FCD43441-24CC-4B16-A512-419E37F35368Q43114833-BD231B97-C256-41BD-9718-8F36AF8507E7Q48153376-8C04DBDA-7543-49ED-BEBE-B2819DF2536CQ50502338-2CD6FFF2-CEFB-4084-81F4-C156809C8188Q50593365-8FA7CCC7-B506-430D-8BA0-65658774FD37Q50767170-E8950A22-D952-4EBD-BBCF-E2AD8C9FC4F1Q50883042-DACBA072-D2A7-49E0-931D-D15762E46792Q51141278-33F2A922-713D-4593-B010-7F9847BA59BCQ55035100-239C5581-4926-4CFE-A8E6-796AE3FECC70Q60922374-AC28019E-1C7B-497F-B925-DEE14E4DCCE0Q64072885-F9CAB658-9E1D-4227-80DC-104DB8BE21ADQ64910404-1A087E24-5D41-4CB5-A31A-5206846513E1Q64940029-C08A8258-C3F7-4F8B-9C8D-E95679049A36Q91177887-77DF5D77-74AF-4B01-8E50-97023F69BEF2
P50
description
hulumtues
@sq
researcher
@en
wetenschapper
@nl
հետազոտող
@hy
name
Ivan Vujaklija
@ast
Ivan Vujaklija
@en
Ivan Vujaklija
@es
Ivan Vujaklija
@nl
Ivan Vujaklija
@sl
type
label
Ivan Vujaklija
@ast
Ivan Vujaklija
@en
Ivan Vujaklija
@es
Ivan Vujaklija
@nl
Ivan Vujaklija
@sl
prefLabel
Ivan Vujaklija
@ast
Ivan Vujaklija
@en
Ivan Vujaklija
@es
Ivan Vujaklija
@nl
Ivan Vujaklija
@sl
P108
P106
P1153
56157826400
P21
P31
P496
0000-0002-7394-9474