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]