Study of stability of time-domain features for electromyographic pattern recognition.
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A Review of Classification Techniques of EMG Signals during Isotonic and Isometric ContractionsRole of Muscle Synergies in Real-Time Classification of Upper Limb Motions using Extreme Learning MachinesDual Window Pattern Recognition Classifier for Improved Partial-Hand Prosthesis Control.EMG Processing Based Measures of Fatigue Assessment during Manual LiftingAn Epidermal Stimulation and Sensing Platform for Sensorimotor Prosthetic Control, Management of Lower Back Exertion, and Electrical Muscle Activation.Toward attenuating the impact of arm positions on electromyography pattern-recognition based motion classification in transradial amputeesA comparison of the real-time controllability of pattern recognition to conventional myoelectric control for discrete and simultaneous movementsImproving the Robustness of Real-Time Myoelectric Pattern Recognition against Arm Position Changes in Transradial Amputees.A novel channel selection method for multiple motion classification using high-density electromyographyAnalysis of electrode shift effects on wavelet features embedded in a myoelectric pattern recognition systemDecoding with limited neural data: a mixture of time-warped trajectory models for directional reaches.A real-time, practical sensor fault-tolerant module for robust EMG pattern recognition.Classifying multiple types of hand motions using electrocorticography during intraoperative awake craniotomy and seizure monitoring processes-case studies.EMG-based simultaneous and proportional estimation of wrist/hand kinematics in uni-lateral trans-radial amputees.Spatial distribution of HD-EMG improves identification of task and force in patients with incomplete spinal cord injury.Respiratory motor training and neuromuscular plasticity in patients with chronic obstructive pulmonary disease: A pilot study.EMG-based facial gesture recognition through versatile elliptic basis function neural network.Evaluating EMG Feature and Classifier Selection for Application to Partial-Hand Prosthesis ControlCepstral Analysis of EEG During Visual Perception and Mental Imagery Reveals the Influence of Artistic Expertise.A synergy-based hand control is encoded in human motor cortical areasA Novel Spatial Feature for the Identification of Motor Tasks Using High-Density Electromyography.High-density surface EMG maps from upper-arm and forearm muscles.Optimizing pattern recognition-based control for partial-hand prosthesis application.An Adaptive Classification Strategy for Reliable Locomotion Mode Recognition.Improving myoelectric pattern recognition robustness to electrode shift by changing interelectrode distance and electrode configuration.Navigating features: a topologically informed chart of electromyographic features space.Advanced signal analysis for the detection of periodic limb movements from bilateral ankle actigraphy.Feature-Level Fusion of Surface Electromyography for Activity Monitoring.Evaluation of EMG pattern recognition for upper limb prosthesis control: a case study in comparison with direct myoelectric control.Feature Extraction and Selection for Myoelectric Control Based on Wearable EMG Sensors.Causes 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 StructureMultiday EMG-Based Classification of Hand Motions with Deep Learning TechniquesEnsemble classifier for epileptic seizure detection for imperfect EEG dataAn Open-Source Feature Extraction Tool for the Analysis of Peripheral Physiological Data
P2860
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P2860
Study of stability of time-domain features for electromyographic pattern recognition.
description
2010 nî lūn-bûn
@nan
2010 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年学术文章
@wuu
2010年学术文章
@zh-cn
2010年学术文章
@zh-hans
2010年学术文章
@zh-my
2010年学术文章
@zh-sg
2010年學術文章
@yue
name
Study of stability of time-domain features for electromyographic pattern recognition.
@ast
Study of stability of time-domain features for electromyographic pattern recognition.
@en
type
label
Study of stability of time-domain features for electromyographic pattern recognition.
@ast
Study of stability of time-domain features for electromyographic pattern recognition.
@en
prefLabel
Study of stability of time-domain features for electromyographic pattern recognition.
@ast
Study of stability of time-domain features for electromyographic pattern recognition.
@en
P2860
P356
P1476
Study of stability of time-domain features for electromyographic pattern recognition
@en
P2093
Dennis Tkach
Todd A Kuiken
P2860
P2888
P356
10.1186/1743-0003-7-21
P50
P577
2010-05-21T00:00:00Z
P5875
P6179
1003335861