216 related articles for article (PubMed ID: 36440276)
1. Transfer learning in hand movement intention detection based on surface electromyography signals.
Soroushmojdehi R; Javadzadeh S; Pedrocchi A; Gandolla M
Front Neurosci; 2022; 16():977328. PubMed ID: 36440276
[TBL] [Abstract][Full Text] [Related]
2. Transformer-based hand gesture recognition from instantaneous to fused neural decomposition of high-density EMG signals.
Montazerin M; Rahimian E; Naderkhani F; Atashzar SF; Yanushkevich S; Mohammadi A
Sci Rep; 2023 Jul; 13(1):11000. PubMed ID: 37419881
[TBL] [Abstract][Full Text] [Related]
3. A Subject-Transfer Framework Based on Single-Trial EMG Analysis Using Convolutional Neural Networks.
Kim KT; Guan C; Lee SW
IEEE Trans Neural Syst Rehabil Eng; 2020 Jan; 28(1):94-103. PubMed ID: 31613773
[TBL] [Abstract][Full Text] [Related]
4. FS-HGR: Few-Shot Learning for Hand Gesture Recognition via Electromyography.
Rahimian E; Zabihi S; Asif A; Farina D; Atashzar SF; Mohammadi A
IEEE Trans Neural Syst Rehabil Eng; 2021; 29():1004-1015. PubMed ID: 33945480
[TBL] [Abstract][Full Text] [Related]
5. A Few-Shot Transfer Learning Approach for Motion Intention Decoding from Electroencephalographic Signals.
Mammone N; Ieracitano C; Spataro R; Guger C; Cho W; Morabito FC
Int J Neural Syst; 2024 Feb; 34(2):2350068. PubMed ID: 38073546
[TBL] [Abstract][Full Text] [Related]
6. sEMG-Based Gesture Recognition Using Deep Learning From Noisy Labels.
Fatayer A; Gao W; Fu Y
IEEE J Biomed Health Inform; 2022 Sep; 26(9):4462-4473. PubMed ID: 35653452
[TBL] [Abstract][Full Text] [Related]
7. Transferable non-invasive modal fusion-transformer (NIMFT) for end-to-end hand gesture recognition.
Xu T; Zhao K; Hu Y; Li L; Wang W; Wang F; Zhou Y; Li J
J Neural Eng; 2024 Apr; 21(2):. PubMed ID: 38565124
[No Abstract] [Full Text] [Related]
8. TraHGR: Transformer for Hand Gesture Recognition via Electromyography.
Zabihi S; Rahimian E; Asif A; Mohammadi A
IEEE Trans Neural Syst Rehabil Eng; 2023; 31():4211-4224. PubMed ID: 37831560
[TBL] [Abstract][Full Text] [Related]
9. Post-stroke hand gesture recognition via one-shot transfer learning using prototypical networks.
Sarwat H; Alkhashab A; Song X; Jiang S; Jia J; Shull PB
J Neuroeng Rehabil; 2024 Jun; 21(1):100. PubMed ID: 38867287
[TBL] [Abstract][Full Text] [Related]
10. Classification of hand and wrist movements via surface electromyogram using the random convolutional kernels transform.
Ovadia D; Segal A; Rabin N
Sci Rep; 2024 Feb; 14(1):4134. PubMed ID: 38374342
[TBL] [Abstract][Full Text] [Related]
11. Hand Gesture Recognition Using Compact CNN Via Surface Electromyography Signals.
Chen L; Fu J; Wu Y; Li H; Zheng B
Sensors (Basel); 2020 Jan; 20(3):. PubMed ID: 31991849
[TBL] [Abstract][Full Text] [Related]
12. Sensor Fusion for Myoelectric Control Based on Deep Learning With Recurrent Convolutional Neural Networks.
Wang W; Chen B; Xia P; Hu J; Peng Y
Artif Organs; 2018 Sep; 42(9):E272-E282. PubMed ID: 30003559
[TBL] [Abstract][Full Text] [Related]
13. Multi-Category Gesture Recognition Modeling Based on sEMG and IMU Signals.
Jiang Y; Song L; Zhang J; Song Y; Yan M
Sensors (Basel); 2022 Aug; 22(15):. PubMed ID: 35957417
[TBL] [Abstract][Full Text] [Related]
14. Reliability Analysis for Finger Movement Recognition With Raw Electromyographic Signal by Evidential Convolutional Networks.
Lin Y; Palaniappan R; De Wilde P; Li L
IEEE Trans Neural Syst Rehabil Eng; 2022; 30():96-107. PubMed ID: 34995190
[TBL] [Abstract][Full Text] [Related]
15. The Impact of Feature Extraction on Classification Accuracy Examined by Employing a Signal Transformer to Classify Hand Gestures Using Surface Electromyography Signals.
Moslhi AM; Aly HH; ElMessiery M
Sensors (Basel); 2024 Feb; 24(4):. PubMed ID: 38400416
[TBL] [Abstract][Full Text] [Related]
16. Real-time intelligent pattern recognition algorithm for surface EMG signals.
Khezri M; Jahed M
Biomed Eng Online; 2007 Dec; 6():45. PubMed ID: 18053184
[TBL] [Abstract][Full Text] [Related]
17. Biosignal-based transferable attention Bi-ConvGRU deep network for hand-gesture recognition towards online upper-limb prosthesis control.
Xie B; Meng J; Li B; Harland A
Comput Methods Programs Biomed; 2022 Sep; 224():106999. PubMed ID: 35841852
[TBL] [Abstract][Full Text] [Related]
18. A cepstrum analysis-based classification method for hand movement surface EMG signals.
Yavuz E; Eyupoglu C
Med Biol Eng Comput; 2019 Oct; 57(10):2179-2201. PubMed ID: 31388900
[TBL] [Abstract][Full Text] [Related]
19. Shoulder muscle activation pattern recognition based on sEMG and machine learning algorithms.
Jiang Y; Chen C; Zhang X; Chen C; Zhou Y; Ni G; Muh S; Lemos S
Comput Methods Programs Biomed; 2020 Dec; 197():105721. PubMed ID: 32882593
[TBL] [Abstract][Full Text] [Related]
20. Hand Gesture Recognition based on Surface Electromyography using Convolutional Neural Network with Transfer Learning Method.
Chen X; Li Y; Hu R; Zhang X; Chen X
IEEE J Biomed Health Inform; 2021 Apr; 25(4):1292-1304. PubMed ID: 32750962
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
