Application of higher order statistics to surface electromyogram signal classification.
about
EMG feature assessment for myoelectric pattern recognition and channel selection: a study with incomplete spinal cord injury.A novel channel selection method for multiple motion classification using high-density electromyographyAbstract and proportional myoelectric control for multi-fingered hand prosthesesA note on the probability distribution function of the surface electromyogram signalImproved prosthetic hand control with concurrent use of myoelectric and inertial measurements.Age-Associated Changes in the Spectral and Statistical Parameters of Surface Electromyogram of Tibialis AnteriorNavigating features: a topologically informed chart of electromyographic features space.Evaluation of muscle force classification using shape analysis of the sEMG probability density function: a simulation study.Feature Extraction and Selection for Myoelectric Control Based on Wearable EMG Sensors.
P2860
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P2860
Application of higher order statistics to surface electromyogram 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
Application of higher order statistics to surface electromyogram signal classification.
@en
Application of higher order statistics to surface electromyogram signal classification.
@nl
type
label
Application of higher order statistics to surface electromyogram signal classification.
@en
Application of higher order statistics to surface electromyogram signal classification.
@nl
prefLabel
Application of higher order statistics to surface electromyogram signal classification.
@en
Application of higher order statistics to surface electromyogram signal classification.
@nl
P356
P1476
Application of higher order statistics to surface electromyogram signal classification.
@en
P2093
Ahmad R Sharafat
S Mohammad P Firoozabadi
P304
P356
10.1109/TBME.2007.894829
P577
2007-10-01T00:00:00Z