BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

136 related articles for article (PubMed ID: 38417146)

  • 1. Measuring and monitoring skill learning in closed-loop myoelectric hand prostheses using speed-accuracy tradeoffs.
    Mamidanna P; Gholinezhad S; Farina D; Dideriksen JL; Dosen S
    J Neural Eng; 2024 Mar; 21(2):. PubMed ID: 38417146
    [No Abstract]   [Full Text] [Related]  

  • 2. Estimating speed-accuracy trade-offs to evaluate and understand closed-loop prosthesis interfaces.
    Mamidanna P; Dideriksen JL; Dosen S
    J Neural Eng; 2022 Sep; 19(5):. PubMed ID: 35977526
    [No Abstract]   [Full Text] [Related]  

  • 3. The impact of objective functions on control policies in closed-loop control of grasping force with a myoelectric prosthesis.
    Mamidanna P; Dideriksen JL; Dosen S
    J Neural Eng; 2021 Sep; 18(5):. PubMed ID: 34479219
    [No Abstract]   [Full Text] [Related]  

  • 4. The effect of calibration parameters on the control of a myoelectric hand prosthesis using EMG feedback.
    Tchimino J; Markovic M; Dideriksen JL; Dosen S
    J Neural Eng; 2021 Jun; 18(4):. PubMed ID: 34082406
    [No Abstract]   [Full Text] [Related]  

  • 5. EMG Biofeedback for online predictive control of grasping force in a myoelectric prosthesis.
    Dosen S; Markovic M; Somer K; Graimann B; Farina D
    J Neuroeng Rehabil; 2015 Jun; 12():55. PubMed ID: 26088323
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Myocontrol is closed-loop control: incidental feedback is sufficient for scaling the prosthesis force in routine grasping.
    Markovic M; Schweisfurth MA; Engels LF; Farina D; Dosen S
    J Neuroeng Rehabil; 2018 Sep; 15(1):81. PubMed ID: 30176929
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A Novel Sensory Feedback Approach to Facilitate Both Predictive and Corrective Control of Grasping Force in Myoelectric Prostheses.
    Gasparic F; Jorgovanovic N; Hofer C; Russold MF; Koppe M; Stanisic D; Dosen S
    IEEE Trans Neural Syst Rehabil Eng; 2023; 31():4492-4503. PubMed ID: 37930904
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A compact system for simultaneous stimulation and recording for closed-loop myoelectric control.
    Garenfeld MA; Jorgovanovic N; Ilic V; Strbac M; Isakovic M; Dideriksen JL; Dosen S
    J Neuroeng Rehabil; 2021 May; 18(1):87. PubMed ID: 34034762
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Wrist speed feedback improves elbow compensation and reaching accuracy for myoelectric transradial prosthesis users in hybrid virtual reaching task.
    Earley EJ; Johnson RE; Sensinger JW; Hargrove LJ
    J Neuroeng Rehabil; 2023 Jan; 20(1):9. PubMed ID: 36658605
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Closed-loop control of grasping with a myoelectric hand prosthesis: which are the relevant feedback variables for force control?
    Ninu A; Dosen S; Muceli S; Rattay F; Dietl H; Farina D
    IEEE Trans Neural Syst Rehabil Eng; 2014 Sep; 22(5):1041-52. PubMed ID: 24801625
    [TBL] [Abstract][Full Text] [Related]  

  • 11. GLIMPSE: Google Glass interface for sensory feedback in myoelectric hand prostheses.
    Markovic M; Karnal H; Graimann B; Farina D; Dosen S
    J Neural Eng; 2017 Jun; 14(3):036007. PubMed ID: 28355147
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Closed-Loop Control of a Multifunctional Myoelectric Prosthesis With Full-State Anatomically Congruent Electrotactile Feedback.
    Garenfeld MA; Strbac M; Jorgovanovic N; Dideriksen JL; Dosen S
    IEEE Trans Neural Syst Rehabil Eng; 2023; 31():2090-2100. PubMed ID: 37058389
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Electrotactile Feedback Improves Grip Force Control and Enables Object Stiffness Recognition While Using a Myoelectric Hand.
    Chai G; Wang H; Li G; Sheng X; Zhu X
    IEEE Trans Neural Syst Rehabil Eng; 2022; 30():1310-1320. PubMed ID: 35533165
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The clinical relevance of advanced artificial feedback in the control of a multi-functional myoelectric prosthesis.
    Markovic M; Schweisfurth MA; Engels LF; Bentz T; Wüstefeld D; Farina D; Dosen S
    J Neuroeng Rehabil; 2018 Mar; 15(1):28. PubMed ID: 29580245
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Getting a Grip on the Impact of Incidental Feedback From Body-Powered and Myoelectric Prostheses.
    Gonzalez MA; Lee C; Kang J; Gillespie RB; Gates DH
    IEEE Trans Neural Syst Rehabil Eng; 2021; 29():1905-1912. PubMed ID: 34516377
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Electrotactile Feedback with Spatial and Mixed Coding for Object Identification and Closed-loop Control of Grasping Force in Myoelectric Prostheses.
    Chai G; Briand J; Su S; Sheng X; Zhu X
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():1805-1808. PubMed ID: 31946247
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Closed-Loop Multi-Amplitude Control for Robust and Dexterous Performance of Myoelectric Prosthesis.
    Markovic M; Varel M; Schweisfurth MA; Schilling AF; Dosen S
    IEEE Trans Neural Syst Rehabil Eng; 2020 Feb; 28(2):498-507. PubMed ID: 31841418
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Tactile feedback is an effective instrument for the training of grasping with a prosthesis at low- and medium-force levels.
    De Nunzio AM; Dosen S; Lemling S; Markovic M; Schweisfurth MA; Ge N; Graimann B; Falla D; Farina D
    Exp Brain Res; 2017 Aug; 235(8):2547-2559. PubMed ID: 28550423
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Electrotactile EMG feedback improves the control of prosthesis grasping force.
    Schweisfurth MA; Markovic M; Dosen S; Teich F; Graimann B; Farina D
    J Neural Eng; 2016 Oct; 13(5):056010. PubMed ID: 27547992
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Non-Invasive, Temporally Discrete Feedback of Object Contact and Release Improves Grasp Control of Closed-Loop Myoelectric Transradial Prostheses.
    Clemente F; D'Alonzo M; Controzzi M; Edin BB; Cipriani C
    IEEE Trans Neural Syst Rehabil Eng; 2016 Dec; 24(12):1314-1322. PubMed ID: 26584497
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.