EMG feature assessment for myoelectric pattern recognition and channel selection: a study with incomplete spinal cord injury.
about
Classification complexity in myoelectric pattern recognition.Real-Time Control of an Exoskeleton Hand Robot with Myoelectric Pattern Recognition.A novel approach for SEMG signal classification with adaptive local binary patterns.Non-Uniform Sample Assignment in Training Set Improving Recognition of Hand Gestures Dominated with Similar Muscle Activities.An IoT-Enabled Stroke Rehabilitation System Based on Smart Wearable Armband and Machine Learning.
P2860
EMG feature assessment for myoelectric pattern recognition and channel selection: a study with incomplete spinal cord injury.
description
2014 nî lūn-bûn
@nan
2014 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
EMG feature assessment for myo ...... incomplete spinal cord injury.
@ast
EMG feature assessment for myo ...... incomplete spinal cord injury.
@en
type
label
EMG feature assessment for myo ...... incomplete spinal cord injury.
@ast
EMG feature assessment for myo ...... incomplete spinal cord injury.
@en
prefLabel
EMG feature assessment for myo ...... incomplete spinal cord injury.
@ast
EMG feature assessment for myo ...... incomplete spinal cord injury.
@en
P2093
P2860
P1476
EMG feature assessment for myo ...... incomplete spinal cord injury.
@en
P2093
P2860
P304
P356
10.1016/J.MEDENGPHY.2014.04.003
P577
2014-05-17T00:00:00Z