154 related articles for article (PubMed ID: 19163778)
1. Surface electromyogram signal estimation based on wavelet thresholding technique.
Khezri M; Jahed M
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():4752-5. PubMed ID: 19163778
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Introducing a new multi-wavelet function suitable for sEMG signal to identify hand motion commands.
Khezri M; Jahed M
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():1924-7. PubMed ID: 18002359
[TBL] [Abstract][Full Text] [Related]
4. An exploratory study to design a novel hand movement identification system.
Khezri M; Jahed M
Comput Biol Med; 2009 May; 39(5):433-42. PubMed ID: 19342012
[TBL] [Abstract][Full Text] [Related]
5. [Pattern recognition of surface electromyogram based on multi-scale principal component analysis].
Tian XY; Lei M
Zhongguo Yi Liao Qi Xie Za Zhi; 2009 Jul; 33(4):243-6. PubMed ID: 19938518
[TBL] [Abstract][Full Text] [Related]
6. [Surface electromyogram denoising using adaptive wavelet thresholding].
Lou Z; Deng Hao ; Chen X; Yao B; Yang J
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2014 Aug; 31(4):723-8. PubMed ID: 25464776
[TBL] [Abstract][Full Text] [Related]
7. Monte Carlo method for evaluating the effect of surface EMG measurement placement on motion recognition accuracy.
Nagata K; Magatani K; Yamada M
Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():2583-6. PubMed ID: 19965217
[TBL] [Abstract][Full Text] [Related]
8. Identification of hand and finger movements using multi run ICA of surface electromyogram.
Naik GR; Kumar DK
J Med Syst; 2012 Apr; 36(2):841-51. PubMed ID: 20703649
[TBL] [Abstract][Full Text] [Related]
9. Denoising of surface electromyogram based on complementary ensemble empirical mode decomposition and improved interval thresholding.
Xi X; Zhang Y; Zhao Y; She Q; Luo Z
Rev Sci Instrum; 2019 Mar; 90(3):035003. PubMed ID: 30927792
[TBL] [Abstract][Full Text] [Related]
10. Application of least square method for muscular strength estimation in hand motion recognition using surface EMG.
Nakano T; Nagata K; Yamada M; Magatani K
Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():2655-8. PubMed ID: 19963777
[TBL] [Abstract][Full Text] [Related]
11. The analysis of hand movement distinction based on relative frequency band energy method.
Zhang Y; Wang G; Teng C; Sun Z; Wang J
Biomed Res Int; 2014; 2014():781769. PubMed ID: 25431766
[TBL] [Abstract][Full Text] [Related]
12. A Novel Method for Hand Movement Recognition Based on Wavelet Packet Transform and Principal Component Analysis with Surface Electromyogram.
Huo Y; Li F; Li Q; He E; Chen J
Comput Intell Neurosci; 2022; 2022():8125186. PubMed ID: 36397787
[TBL] [Abstract][Full Text] [Related]
13. A novel approach to recognize hand movements via sEMG patterns.
Khezri M; Jahed M
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():4907-10. PubMed ID: 18003106
[TBL] [Abstract][Full Text] [Related]
14. Ant colony optimization-based feature selection method for surface electromyography signals classification.
Huang H; Xie HB; Guo JY; Chen HJ
Comput Biol Med; 2012 Jan; 42(1):30-8. PubMed ID: 22074763
[TBL] [Abstract][Full Text] [Related]
15. [Pattern recognition of surface electromyography signal based on multi-scale fuzzy entropy].
Zou X; Lei M
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2012 Dec; 29(6):1184-8. PubMed ID: 23469553
[TBL] [Abstract][Full Text] [Related]
16. Development of the hand motion recognition system based on surface EMG using suitable measurement channels for pattern recognition.
Nagata K; Ando K; Magatani K; Yamada M
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():5214-7. PubMed ID: 18003183
[TBL] [Abstract][Full Text] [Related]
17. Extracting effective features of SEMG using continuous wavelet transform.
Kilby J; Hosseini HG
Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():1704-7. PubMed ID: 17946475
[TBL] [Abstract][Full Text] [Related]
18. Surface electromyography signal denoising via EEMD and improved wavelet thresholds.
Sun Z; Xi X; Yuan C; Yang Y; Hua X
Math Biosci Eng; 2020 Oct; 17(6):6945-6962. PubMed ID: 33378883
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Signal processing of the surface electromyogram to gain insight into neuromuscular physiology.
Karlsson JS; Roeleveld K; Grönlund C; Holtermann A; Ostlund N
Philos Trans A Math Phys Eng Sci; 2009 Jan; 367(1887):337-56. PubMed ID: 18974034
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
