Mitigating the Concurrent Interference of Electrode Shift and Loosening in Myoelectric Pattern Recognition Using Siamese Autoencoder Network

The objective of this work is to develop a novel myoelectric pattern recognition (MPR) method to mitigate the concurrent interference of electrode shift and loosening, thereby improving the practicality of MPR-based gestural interfaces towards intelligent control. A Siamese auto-encoder network (SAE...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on neural systems and rehabilitation engineering Jg. 32; S. 3388 - 3398
Hauptverfasser:	Gao, Ge, Zhang, Xu, Chen, Xiang, Chen, Zhang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 2024
Schlagworte:	Adult Algorithms Data collection electrode loosening electrode shift Electrodes Electromyography Electromyography - methods Feature extraction Female Gestures Humans Interference Male Myoelectric pattern recognition Neural Networks, Computer Pattern Recognition, Automated - methods Reproducibility of Results Robustness Siamese autoencoder network Support Vector Machine surface electromyography Testing Young Adult
ISSN:	1534-4320, 1558-0210, 1558-0210
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!