Skip to content
RDL
Network
Ekosistem
Uygulama değiştir
EN
Hakkımızda
SSS
Giriş yap
Başla
Unsupervised Continuous Motion Intention Decoding from Electromyographic Signals Using Nonlinear Manifold Extraction — Hanjie Deng (2025) | RDL Network
Back
Cite
Save
Save for later
Share
Home
Publications
Unsupervised Continuous Motion Intention Decoding from Electromyographic Signals Using Nonlinear Manifold Extraction
Shared by
Aiguo Song
Southeast University
Unsupervised Continuous Motion Intention Decoding from Electromyographic Signals Using Nonlinear Manifold Extraction
Article
2025
en
Authors
+2 more
HD
Hanjie Deng
HZ
Hong Zeng
XX
Xiaoying Xu
Discussion
(0)
Sign in
to like and join the discussion.
No comments yet. Be the first to comment.
Related publications
Article
2020
Real-time Continuous Hand Motion Myoelectric Decoding by Automated Data Labeling
Xuhui Hu
,
Hong Zeng
,
Dapeng Chen
,
Jiahang Zhu
,
Aiguo Song
Preprint
2019
Real-time Continuous Hand Motion Myoelectric Decoding by Automated Data Labeling
Xuhui Hu
,
Hong Zeng
,
Dapeng Chen
,
Jiahang Zhu
,
Aiguo Song
Article
2017
Detection of self-paced movement intention from pre-movement electroencephalogram signals with Hilbert transform
Hong Zeng
,
Changcheng Wu
,
Aiguo Song
,
Baoguo Xu
,
Huijun Li
,
Pengcheng Wen
,
Jia Liu
Article
2021
Robust Continuous Hand Motion Recognition Using Wearable Array Myoelectric Sensor
Xuhui Hu
,
Hong Zeng
,
Aiguo Song
,
Dapeng Chen
Preprint
2025
Accurate RR-interval extraction from single-lead, telehealth electrocardiogram signals
Shannon Ho
,
Zixuan Ding
,
David Wong
,
Florian Kristof
,
James Brimicombe
,
Martín Cowie
,
Andrew Dymond
,
Hannah Clair Lindén
,
Professor Gregory Lip
,
Kate Williams
,
Jonathan Mant
,
Peter Charlton
Discussion(0)
No comments yet. Be the first to comment.