A comparison of surface and intramuscular myoelectric signal classification.
about
Control of Prosthetic Hands via the Peripheral Nervous System.On the viability of implantable electrodes for the natural control of artificial limbs: review and discussionReal-time simultaneous and proportional myoelectric control using intramuscular EMGDual Window Pattern Recognition Classifier for Improved Partial-Hand Prosthesis Control.EMG Processing Based Measures of Fatigue Assessment during Manual LiftingToward attenuating the impact of arm positions on electromyography pattern-recognition based motion classification in transradial amputeesContinuous locomotion-mode identification for prosthetic legs based on neuromuscular-mechanical fusion.The effect of accelerometer location on the classification of single-site forearm mechanomyograms.BioPatRec: A modular research platform for the control of artificial limbs based on pattern recognition algorithms.A comparison of the real-time controllability of pattern recognition to conventional myoelectric control for discrete and simultaneous movementsRobotic pilot study for analysing spasticity: clinical data versus healthy controls.Subject-specific myoelectric pattern classification of functional hand movements for stroke survivors.A real-time comparison between direct control, sequential pattern recognition control and simultaneous pattern recognition control using a Fitts' law style assessment procedureA Novel Unsupervised Adaptive Learning Method for Long-Term Electromyography (EMG) Pattern Recognition.Study of stability of time-domain features for electromyographic pattern recognition.Design of a robust EMG sensing interface for pattern classification.Classification of simultaneous movements using surface EMG pattern recognition.Quantifying pattern recognition-based myoelectric control of multifunctional transradial prosthesesA strategy for identifying locomotion modes using surface electromyography.Target Achievement Control Test: evaluating real-time myoelectric pattern-recognition control of multifunctional upper-limb prostheses.Adaptive pattern recognition of myoelectric signals: exploration of conceptual framework and practical algorithmsSpatial filtering improves EMG classification accuracy following targeted muscle reinnervation.The effects of electrode size and orientation on the sensitivity of myoelectric pattern recognition systems to electrode shiftDetermining the optimal window length for pattern recognition-based myoelectric control: balancing the competing effects of classification error and controller delay.A decision-based velocity ramp for minimizing the effect of misclassifications during real-time pattern recognition control.An analysis of EMG electrode configuration for targeted muscle reinnervation based neural machine interface.Targeted muscle reinnervation and advanced prosthetic arms.Pattern recognition control of multifunction myoelectric prostheses by patients with congenital transradial limb defects: a preliminary study.A real-time, practical sensor fault-tolerant module for robust EMG pattern recognition.A comparison of the effects of electrode implantation and targeting on pattern classification accuracy for prosthesis control.Improving the recognition of grips and movements of the hand using myoelectric signals.An Analysis of Intrinsic and Extrinsic Hand Muscle EMG for Improved Pattern Recognition Control.EMG-based simultaneous and proportional estimation of wrist/hand kinematics in uni-lateral trans-radial amputees.Electromyogram-based neural network control of transhumeral prosthesesA novel myoelectric pattern recognition strategy for hand function restoration after incomplete cervical spinal cord injury.Use of probabilistic weights to enhance linear regression myoelectric control.Spatial distribution of HD-EMG improves identification of task and force in patients with incomplete spinal cord injury.Real-time implementation of an intent recognition system for artificial legsApplication of a self-enhancing classification method to electromyography pattern recognition for multifunctional prosthesis control.EMG-based pattern recognition approach in post stroke robot-aided rehabilitation: a feasibility study.
P2860
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P2860
A comparison of surface and intramuscular myoelectric signal classification.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年学术文章
@wuu
2007年学术文章
@zh
2007年学术文章
@zh-cn
2007年学术文章
@zh-hans
2007年学术文章
@zh-my
2007年学术文章
@zh-sg
2007年學術文章
@yue
2007年學術文章
@zh-hant
name
A comparison of surface and intramuscular myoelectric signal classification.
@en
A comparison of surface and intramuscular myoelectric signal classification.
@nl
type
label
A comparison of surface and intramuscular myoelectric signal classification.
@en
A comparison of surface and intramuscular myoelectric signal classification.
@nl
prefLabel
A comparison of surface and intramuscular myoelectric signal classification.
@en
A comparison of surface and intramuscular myoelectric signal classification.
@nl
P2093
P356
P1476
A comparison of surface and intramuscular myoelectric signal classification.
@en
P2093
Bernard Hudgins
Kevin Englehart
Levi J Hargrove
P304
P356
10.1109/TBME.2006.889192
P577
2007-05-01T00:00:00Z