Classification of ankle joint movements based on surface electromyography signals for rehabilitation robot applications.

about

Classification of ankle joint movements based on surface electromyography signals for rehabilitation robot applications.

Item

http://www.wikidata.org/entity/Q51219397

description

2016 nî lūn-bûn

@nan

2016年の論文

@ja

2016年学术文章

@wuu

2016年学术文章

@zh-cn

2016年学术文章

@zh-hans

2016年学术文章

@zh-my

2016年学术文章

@zh-sg

2016年學術文章

@yue

2016年學術文章

@zh

2016年學術文章

@zh-hant

name

Classification of ankle joint ...... bilitation robot applications.

@en

Classification of ankle joint ...... bilitation robot applications.

@nl

type

Item

label

Classification of ankle joint ...... bilitation robot applications.

@en

Classification of ankle joint ...... bilitation robot applications.

@nl

prefLabel

Classification of ankle joint ...... bilitation robot applications.

@en

Classification of ankle joint ...... bilitation robot applications.

@nl

P1476

Classification of ankle joint ...... abilitation robot applications

@en

P2093

Asnor J Ishak

http://www.w3.org/2001/XMLSchema#string

Atif Alamri

http://www.w3.org/2001/XMLSchema#string

Hossein Ghapanchizadeh

http://www.w3.org/2001/XMLSchema#string

Mohd K Hasan

http://www.w3.org/2001/XMLSchema#string

Muhammad Al-Qurishi

http://www.w3.org/2001/XMLSchema#string

Siti A Ahmad

http://www.w3.org/2001/XMLSchema#string

P2860

EMG scanning in the diagnosis of chronic pain.

Determining the optimal window length for pattern recognition-based myoelectric control: balancing the competing effects of classification error and controller delay.

Control of multifunctional prosthetic hands by processing the electromyographic signal.

Advances in upper limb stroke rehabilitation: a technology push.

A real-time EMG pattern recognition system based on linear-nonlinear feature projection for a multifunction myoelectric hand.

Rehabilitation exoskeletal robotics. The promise of an emerging field.

Orthogonal fuzzy neighborhood discriminant analysis for multifunction myoelectric hand control.

A new strategy for multifunction myoelectric control.

Feature extraction of the first difference of EMG time series for EMG pattern recognition.

Principal components analysis preprocessing for improved classification accuracies in pattern-recognition-based myoelectric control.

P304

747-758

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1007/S11517-016-1551-4

http://www.w3.org/2001/XMLSchema#string

P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P50

Maged S Al-Quraishi

P577

2016-08-02T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

27484411

http://www.w3.org/2001/XMLSchema#string