BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

191 related articles for article (PubMed ID: 18002359)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. [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]  

  • 5. 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]  

  • 6. Self-organized clustering approach for motion discrimination using EMG signal.
    Kita K; Kato R; Yokoi H
    Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():2587-90. PubMed ID: 19965218
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Identification of a feature selection based pattern recognition scheme for finger movement recognition from multichannel EMG signals.
    Purushothaman G; Vikas R
    Australas Phys Eng Sci Med; 2018 Jun; 41(2):549-559. PubMed ID: 29744809
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Upper Arm Motion High-Density sEMG Recognition Optimization Based on Spatial and Time-Frequency Domain Features.
    Bai D; Chen S; Yang J
    J Healthc Eng; 2019; 2019():3958029. PubMed ID: 31080576
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Compression of biomedical signals with mother wavelet optimization and best-basis wavelet packet selection.
    Brechet L; Lucas MF; Doncarli C; Farina D
    IEEE Trans Biomed Eng; 2007 Dec; 54(12):2186-92. PubMed ID: 18075034
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Compression of EMG signals with wavelet transform and artificial neural networks.
    Berger Pde A; Nascimento FA; do Carmo JC; da Rocha AF
    Physiol Meas; 2006 Jun; 27(6):457-65. PubMed ID: 16603798
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Development of the human interface equipment based on surface EMG employing channel selection method.
    Nagata K; Ando K; Nakano S; Nakajima H; Yamada M; Magatani K
    Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():6193-6. PubMed ID: 17946362
    [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. 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]  

  • 16. 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]  

  • 17. 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]  

  • 18. 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]  

  • 19. SEMG Feature Extraction Based on StockwellTransform Improves Hand MovementRecognition Accuracy.
    She H; Zhu J; Tian Y; Wang Y; Yokoi H; Huang Q
    Sensors (Basel); 2019 Oct; 19(20):. PubMed ID: 31615162
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 10.