BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

389 related articles for article (PubMed ID: 21293972)

  • 1. Conditioning and sampling issues of EMG signals in motion recognition of multifunctional myoelectric prostheses.
    Li G; Li Y; Yu L; Geng Y
    Ann Biomed Eng; 2011 Jun; 39(6):1779-87. PubMed ID: 21293972
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Selection of sampling rate for EMG pattern recognition based prosthesis control.
    Li G; Li Y; Zhang Z; Geng Y; Zhou R
    Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():5058-61. PubMed ID: 21096026
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Toward attenuating the impact of arm positions on electromyography pattern-recognition based motion classification in transradial amputees.
    Geng Y; Zhou P; Li G
    J Neuroeng Rehabil; 2012 Oct; 9():74. PubMed ID: 23036049
    [TBL] [Abstract][Full Text] [Related]  

  • 4. High density electromyography data of normally limbed and transradial amputee subjects for multifunction prosthetic control.
    Daley H; Englehart K; Hargrove L; Kuruganti U
    J Electromyogr Kinesiol; 2012 Jun; 22(3):478-84. PubMed ID: 22269773
    [TBL] [Abstract][Full Text] [Related]  

  • 5. EMG pattern recognition control of multifunctional prostheses by transradial amputees.
    Li G; Kuiken TA
    Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():6914-7. PubMed ID: 19964455
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Improving the Robustness of Real-Time Myoelectric Pattern Recognition against Arm Position Changes in Transradial Amputees.
    Geng Y; Samuel OW; Wei Y; Li G
    Biomed Res Int; 2017; 2017():5090454. PubMed ID: 28523276
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Feature Extraction and Selection for Myoelectric Control Based on Wearable EMG Sensors.
    Phinyomark A; N Khushaba R; Scheme E
    Sensors (Basel); 2018 May; 18(5):. PubMed ID: 29783659
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Towards reducing the impacts of unwanted movements on identification of motion intentions.
    Li X; Chen S; Zhang H; Samuel OW; Wang H; Fang P; Zhang X; Li G
    J Electromyogr Kinesiol; 2016 Jun; 28():90-8. PubMed ID: 27093136
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Improved prosthetic hand control with concurrent use of myoelectric and inertial measurements.
    Krasoulis A; Kyranou I; Erden MS; Nazarpour K; Vijayakumar S
    J Neuroeng Rehabil; 2017 Jul; 14(1):71. PubMed ID: 28697795
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Pattern recognition control of multifunction myoelectric prostheses by patients with congenital transradial limb defects: a preliminary study.
    Kryger M; Schultz AE; Kuiken T
    Prosthet Orthot Int; 2011 Dec; 35(4):395-401. PubMed ID: 21960053
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A multifunctional prosthesis control system based on time series identification of EMG signals using microprocessors.
    Graupe D; Beex AA; Monlux WJ; Magnussen I
    Bull Prosthet Res; 1977; 10(27):4-16. PubMed ID: 603818
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Motion recognition for simultaneous control of multifunctional transradial prostheses.
    Jiang N; Tian L; Fang P; Dai Y; Li G
    Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():1603-6. PubMed ID: 24110009
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A motion-classification strategy based on sEMG-EEG signal combination for upper-limb amputees.
    Li X; Samuel OW; Zhang X; Wang H; Fang P; Li G
    J Neuroeng Rehabil; 2017 Jan; 14(1):2. PubMed ID: 28061779
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The effect of time on EMG classification of hand motions in able-bodied and transradial amputees.
    Waris A; Niazi IK; Jamil M; Gilani O; Englehart K; Jensen W; Shafique M; Kamavuako EN
    J Electromyogr Kinesiol; 2018 Jun; 40():72-80. PubMed ID: 29689443
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Towards Efficient Decoding of Multiple Classes of Motor Imagery Limb Movements Based on EEG Spectral and Time Domain Descriptors.
    Samuel OW; Geng Y; Li X; Li G
    J Med Syst; 2017 Oct; 41(12):194. PubMed ID: 29080913
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Resolving the effect of wrist position on myoelectric pattern recognition control.
    Adewuyi AA; Hargrove LJ; Kuiken TA
    J Neuroeng Rehabil; 2017 May; 14(1):39. PubMed ID: 28472991
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Resolving the adverse impact of mobility on myoelectric pattern recognition in upper-limb multifunctional prostheses.
    Samuel OW; Li X; Geng Y; Asogbon MG; Fang P; Huang Z; Li G
    Comput Biol Med; 2017 Nov; 90():76-87. PubMed ID: 28961473
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Movement characteristics of upper extremity prostheses during basic goal-directed tasks.
    Bouwsema H; van der Sluis CK; Bongers RM
    Clin Biomech (Bristol, Avon); 2010 Jul; 25(6):523-9. PubMed ID: 20362374
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Classification of Transient Myoelectric Signals for the Control of Multi-Grasp Hand Prostheses.
    Kanitz G; Cipriani C; Edin BB
    IEEE Trans Neural Syst Rehabil Eng; 2018 Sep; 26(9):1756-1764. PubMed ID: 30072331
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Analysis of using EMG and mechanical sensors to enhance intent recognition in powered lower limb prostheses.
    Young AJ; Kuiken TA; Hargrove LJ
    J Neural Eng; 2014 Oct; 11(5):056021. PubMed ID: 25242111
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 20.