These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

190 related articles for article (PubMed ID: 23366464)

  • 41. Myoelectric feature extraction using temporal-spatial descriptors for multifunction prosthetic hand control.
    Khushaba RN; Al-Timemy A; Al-Ani A; Al-Jumaily A
    Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug; 2016():1696-1699. PubMed ID: 28268654
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Feature dimensionality reduction for myoelectric pattern recognition: a comparison study of feature selection and feature projection methods.
    Liu J
    Med Eng Phys; 2014 Dec; 36(12):1716-20. PubMed ID: 25292451
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Spatially Filtered Low-Density EMG and Time-Domain Descriptors Improves Hand Movement Recognition.
    Al Taee AA; Khushaba RN; Al-Jumaily A
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():2671-2674. PubMed ID: 31946445
    [TBL] [Abstract][Full Text] [Related]  

  • 44. A comparison between force and position control strategies in myoelectric prostheses.
    Ameri A; Englehart KB; Parker PA
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():1342-5. PubMed ID: 23366147
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Decoding of individual finger movements from surface EMG signals using vector autoregressive hierarchical hidden Markov models (VARHHMM).
    Malesevic N; Markovic D; Kanitz G; Controzzi M; Cipriani C; Antfolk C
    IEEE Int Conf Rehabil Robot; 2017 Jul; 2017():1518-1523. PubMed ID: 28814035
    [TBL] [Abstract][Full Text] [Related]  

  • 46. 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]  

  • 47. Modified adaptive resonance theory based control strategy for EMG operated prosthesis for below-elbow amputee.
    Arora AS
    J Med Eng Technol; 2007; 31(3):191-201. PubMed ID: 17454408
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Single Channel Surface Electromyogram Deconvolution is a Useful Pre-Processing for Myoelectric Control.
    Bourges M; Naik GR; Mesin L
    IEEE Trans Biomed Eng; 2022 May; 69(5):1767-1775. PubMed ID: 34847017
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Spatio-Temporal Inertial Measurements Feature Extraction Improves Hand Movement Pattern Recognition without Electromyography.
    Khushaba RN; Krasoulis A; Al-Jumaily A; Nazarpour K
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():2108-2111. PubMed ID: 30440819
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Determining the optimal window length for pattern recognition-based myoelectric control: balancing the competing effects of classification error and controller delay.
    Smith LH; Hargrove LJ; Lock BA; Kuiken TA
    IEEE Trans Neural Syst Rehabil Eng; 2011 Apr; 19(2):186-92. PubMed ID: 21193383
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Increasing the robustness against force variation in EMG motion classification by common spatial patterns.
    Xiangxin Li ; Peng Fang ; Lan Tian ; Guanglin Li
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():406-409. PubMed ID: 29059896
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Two-stage classification of electromyogram signals from hand grasps in the transverse plane.
    Thiamchoo N; Phukpattaranont P
    Comput Methods Biomech Biomed Engin; 2023 Feb; 26(2):222-234. PubMed ID: 35320032
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Improving Myoelectric Control for Amputees through Transcranial Direct Current Stimulation.
    Pan L; Zhang D; Sheng X; Zhu X
    IEEE Trans Biomed Eng; 2015 Aug; 62(8):1927-36. PubMed ID: 25730820
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Influence of advanced electromyogram (EMG) amplitude processors on EMG-to-torque estimation during constant-posture, force-varying contractions.
    Clancy EA; Bida O; Rancourt D
    J Biomech; 2006; 39(14):2690-8. PubMed ID: 16243341
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Recognition of grasp types through principal components of DWT based EMG features.
    Kakoty NM; Hazarika SM
    IEEE Int Conf Rehabil Robot; 2011; 2011():5975398. PubMed ID: 22275601
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Dual Window Pattern Recognition Classifier for Improved Partial-Hand Prosthesis Control.
    Earley EJ; Hargrove LJ; Kuiken TA
    Front Neurosci; 2016; 10():58. PubMed ID: 26941599
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Longitudinal high-density EMG classification: Case study in a glenohumeral TMR subject.
    Schweisfurth MA; Ernst J; Vujaklija I; Schilling AF; Farina D; Aszmann OC; Felmerer G
    IEEE Int Conf Rehabil Robot; 2017 Jul; 2017():1-6. PubMed ID: 28813784
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Extraction of neural control commands using myoelectric pattern recognition: a novel application in adults with cerebral palsy.
    Liu J; Li X; Marciniak C; Rymer WZ; Zhou P
    Int J Neural Syst; 2014 Nov; 24(7):1450022. PubMed ID: 25245096
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Analysis and classification of compressed EMG signals by wavelet transform via alternative neural networks algorithms.
    Ozsert M; Yavuz O; Durak-Ata L
    Comput Methods Biomech Biomed Engin; 2011 Jun; 14(6):521-5. PubMed ID: 20645198
    [TBL] [Abstract][Full Text] [Related]  

  • 60. 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]  

    [Previous]   [Next]    [New Search]
    of 10.