Adaptive pattern recognition of myoelectric signals: exploration of conceptual framework and practical algorithms
about
Combining two open source tools for neural computation (BioPatRec and Netlab) improves movement classification for prosthetic control.BioPatRec: A modular research platform for the control of artificial limbs based on pattern recognition algorithms.Stable myoelectric control of a hand prosthesis using non-linear incremental learning.A 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.A locomotion intent prediction system based on multi-sensor fusionA real-time, practical sensor fault-tolerant module for robust EMG pattern recognition.Surveying the interest of individuals with upper limb loss in novel prosthetic control techniquesEMG-based simultaneous and proportional estimation of wrist/hand kinematics in uni-lateral trans-radial amputees.A Training Strategy for Learning Pattern Recognition Control for Myoelectric Prostheses.Application of a self-enhancing classification method to electromyography pattern recognition for multifunctional prosthesis control.Proceedings of the first workshop on Peripheral Machine Interfaces: going beyond traditional surface electromyography.Self-Recalibrating Surface EMG Pattern Recognition for Neuroprosthesis Control Based on Convolutional Neural Network.A Novel Spatial Feature for the Identification of Motor Tasks Using High-Density Electromyography.An Adaptive Classification Strategy for Reliable Locomotion Mode Recognition.Application of real-time machine learning to myoelectric prosthesis control: A case series in adaptive switching.Evaluation of EMG pattern recognition for upper limb prosthesis control: a case study in comparison with direct myoelectric control.Virtual Sensor of Surface Electromyography in a New Extensive Fault-Tolerant Classification System.A Real-Time Lift Detection Strategy for a Hip Exoskeleton.Forearm Motion Recognition With Noncontact Capacitive SensingCauses of Performance Degradation in Non-invasive Electromyographic Pattern Recognition in Upper Limb ProsthesesEstimation of Finger Joint Angles from sEMG Using a Neural Network Including Time Delay Factor and Recurrent Structure
P2860
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P2860
Adaptive pattern recognition of myoelectric signals: exploration of conceptual framework and practical algorithms
description
2009 nî lūn-bûn
@nan
2009 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Adaptive pattern recognition o ...... ework and practical algorithms
@ast
Adaptive pattern recognition o ...... ework and practical algorithms
@en
Adaptive pattern recognition o ...... ework and practical algorithms
@nl
type
label
Adaptive pattern recognition o ...... ework and practical algorithms
@ast
Adaptive pattern recognition o ...... ework and practical algorithms
@en
Adaptive pattern recognition o ...... ework and practical algorithms
@nl
prefLabel
Adaptive pattern recognition o ...... ework and practical algorithms
@ast
Adaptive pattern recognition o ...... ework and practical algorithms
@en
Adaptive pattern recognition o ...... ework and practical algorithms
@nl
P2093
P2860
P1476
Adaptive pattern recognition o ...... ework and practical algorithms
@en
P2093
Blair A Lock
Jonathon W Sensinger
Todd A Kuiken
P2860
P304
P356
10.1109/TNSRE.2009.2023282
P577
2009-06-02T00:00:00Z