about
Real-time robustness evaluation of regression based myoelectric control against arm position change and donning/doffing.Myoelectric Pattern Recognition Outperforms Direct Control for Transhumeral Amputees with Targeted Muscle Reinnervation: A Randomized Clinical Trial.Audible Feedback Improves Internal Model Strength and Performance of Myoelectric Prosthesis Control.Online mapping of EMG signals into kinematics by autoencoding.Virtual Sensor of Surface Electromyography in a New Extensive Fault-Tolerant Classification System.Multiday EMG-Based Classification of Hand Motions with Deep Learning Techniques
P2860
description
2017 nî lūn-bûn
@nan
2017 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2017 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
name
User adaptation in Myoelectric Man-Machine Interfaces.
@ast
User adaptation in Myoelectric Man-Machine Interfaces.
@en
type
label
User adaptation in Myoelectric Man-Machine Interfaces.
@ast
User adaptation in Myoelectric Man-Machine Interfaces.
@en
prefLabel
User adaptation in Myoelectric Man-Machine Interfaces.
@ast
User adaptation in Myoelectric Man-Machine Interfaces.
@en
P2860
P1433
P1476
User adaptation in Myoelectric Man-Machine Interfaces
@en
P2093
Janne M Hahne
Marko Markovic
P2860
P2888
P356
10.1038/S41598-017-04255-X
P407
P50
P577
2017-06-30T00:00:00Z
P6179
1087309505