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 *

200 related articles for article (PubMed ID: 30440953)

  • 21. Recognition of hand motions via surface EMG signal with rough entropy.
    Zhong J; Shi J; Cai Y; Zhang Q
    Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():4100-3. PubMed ID: 22255241
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A mechatronics platform to study prosthetic hand control using EMG signals.
    Geethanjali P
    Australas Phys Eng Sci Med; 2016 Sep; 39(3):765-71. PubMed ID: 27278475
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Real-time modeling and feature extraction method of surface electromyography signal for hand movement classification based on oscillatory theory.
    Xiao F; Mu J; Lu J; Dong G; Wang Y
    J Neural Eng; 2022 Mar; 19(2):. PubMed ID: 35172291
    [No Abstract]   [Full Text] [Related]  

  • 24. Megane Pro: Myo-electricity, visual and gaze tracking data acquisitions to improve hand prosthetics.
    Giordaniello F; Cognolato M; Graziani M; Gijsberts A; Gregori V; Saetta G; Hager AM; Tiengo C; Bassetto F; Brugger P; Caputo B; Muller H; Atzori M
    IEEE Int Conf Rehabil Robot; 2017 Jul; 2017():1148-1153. PubMed ID: 28813976
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Real-time classification of shoulder girdle motions for multifunctional prosthetic hand control: A preliminary study.
    Sharba GK; Wali MK; Ai-Timemy AH
    Int J Artif Organs; 2019 Sep; 42(9):508-515. PubMed ID: 31117860
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Repeatability of grasp recognition for robotic hand prosthesis control based on sEMG data.
    Palermo F; Cognolato M; Gijsberts A; Muller H; Caputo B; Atzori M
    IEEE Int Conf Rehabil Robot; 2017 Jul; 2017():1154-1159. PubMed ID: 28813977
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. Optimal electrode configurations for finger movement classification using EMG.
    Andrews A; Morin E; McLean L
    Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():2987-90. PubMed ID: 19963553
    [TBL] [Abstract][Full Text] [Related]  

  • 29. 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]  

  • 30. Gesture Recognition Using Surface Electromyography and Deep Learning for Prostheses Hand: State-of-the-Art, Challenges, and Future.
    Li W; Shi P; Yu H
    Front Neurosci; 2021; 15():621885. PubMed ID: 33981195
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Recognition of hand movements in a trans-radial amputated subject by sEMG.
    Atzori M; Muller H; Baechler M
    IEEE Int Conf Rehabil Robot; 2013 Jun; 2013():6650486. PubMed ID: 24187303
    [TBL] [Abstract][Full Text] [Related]  

  • 32. SEMG-based hand motion recognition using cumulative residual entropy and extreme learning machine.
    Shi J; Cai Y; Zhu J; Zhong J; Wang F
    Med Biol Eng Comput; 2013 Apr; 51(4):417-27. PubMed ID: 23224795
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Real-time and simultaneous control of artificial limbs based on pattern recognition algorithms.
    Ortiz-Catalan M; Håkansson B; Brånemark R
    IEEE Trans Neural Syst Rehabil Eng; 2014 Jul; 22(4):756-64. PubMed ID: 24710833
    [TBL] [Abstract][Full Text] [Related]  

  • 34. 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]  

  • 35. Pattern recognition of hand movements with low density sEMG for prosthesis control purposes.
    Villarejo JJ; Frizera A; Bastos TF; Sarmiento JF
    IEEE Int Conf Rehabil Robot; 2013 Jun; 2013():6650361. PubMed ID: 24187180
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Gaussian Process Autoregression for Simultaneous Proportional Multi-Modal Prosthetic Control With Natural Hand Kinematics.
    Xiloyannis M; Gavriel C; Thomik AAC; Faisal AA
    IEEE Trans Neural Syst Rehabil Eng; 2017 Oct; 25(10):1785-1801. PubMed ID: 28880183
    [TBL] [Abstract][Full Text] [Related]  

  • 37. The Ninapro database: A resource for sEMG naturally controlled robotic hand prosthetics.
    Atzori M; Muller H
    Annu Int Conf IEEE Eng Med Biol Soc; 2015; 2015():7151-4. PubMed ID: 26737941
    [TBL] [Abstract][Full Text] [Related]  

  • 38. A two-dimensional matrix image based feature extraction method for classification of sEMG: A comparative analysis based on SVM, KNN and RBF-NN.
    Wen T; Zhang Z; Qiu M; Zeng M; Luo W
    J Xray Sci Technol; 2017; 25(2):287-300. PubMed ID: 28269818
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Preliminary Study on Continuous Recognition of Elbow Flexion/Extension Using sEMG Signals for Bilateral Rehabilitation.
    Song Z; Zhang S
    Sensors (Basel); 2016 Oct; 16(10):. PubMed ID: 27775573
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Myoelectric Signal Classification of Targeted Muscles Using Dictionary Learning.
    Yoo HJ; Park HJ; Lee B
    Sensors (Basel); 2019 May; 19(10):. PubMed ID: 31126025
    [TBL] [Abstract][Full Text] [Related]  

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