428 related articles for article (PubMed ID: 27590967)
1. Multisession, noninvasive closed-loop neuroprosthetic control of grasping by upper limb amputees.
Agashe HA; Paek AY; Contreras-Vidal JL
Prog Brain Res; 2016; 228():107-28. PubMed ID: 27590967
[TBL] [Abstract][Full Text] [Related]
2. Observation-based training for neuroprosthetic control of grasping by amputees.
Agashe HA; Contreras-Vidal JL
Annu Int Conf IEEE Eng Med Biol Soc; 2014; 2014():3989-92. PubMed ID: 25570866
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Blending of brain-machine interface and vision-guided autonomous robotics improves neuroprosthetic arm performance during grasping.
Downey JE; Weiss JM; Muelling K; Venkatraman A; Valois JS; Hebert M; Bagnell JA; Schwartz AB; Collinger JL
J Neuroeng Rehabil; 2016 Mar; 13():28. PubMed ID: 26987662
[TBL] [Abstract][Full Text] [Related]
5. Sensor fusion and computer vision for context-aware control of a multi degree-of-freedom prosthesis.
Markovic M; Dosen S; Popovic D; Graimann B; Farina D
J Neural Eng; 2015 Dec; 12(6):066022. PubMed ID: 26529274
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. Deep learning-based artificial vision for grasp classification in myoelectric hands.
Ghazaei G; Alameer A; Degenaar P; Morgan G; Nazarpour K
J Neural Eng; 2017 Jun; 14(3):036025. PubMed ID: 28467317
[TBL] [Abstract][Full Text] [Related]
9. High-performance neuroprosthetic control by an individual with tetraplegia.
Collinger JL; Wodlinger B; Downey JE; Wang W; Tyler-Kabara EC; Weber DJ; McMorland AJ; Velliste M; Boninger ML; Schwartz AB
Lancet; 2013 Feb; 381(9866):557-64. PubMed ID: 23253623
[TBL] [Abstract][Full Text] [Related]
10. Vibrotactile grasping force and hand aperture feedback for myoelectric forearm prosthesis users.
Witteveen HJ; Rietman HS; Veltink PH
Prosthet Orthot Int; 2015 Jun; 39(3):204-12. PubMed ID: 24567348
[TBL] [Abstract][Full Text] [Related]
11. A study on a robot arm driven by three-dimensional trajectories predicted from non-invasive neural signals.
Kim YJ; Park SW; Yeom HG; Bang MS; Kim JS; Chung CK; Kim S
Biomed Eng Online; 2015 Aug; 14():81. PubMed ID: 26290069
[TBL] [Abstract][Full Text] [Related]
12. Restoration of motor control and proprioceptive and cutaneous sensation in humans with prior upper-limb amputation via multiple Utah Slanted Electrode Arrays (USEAs) implanted in residual peripheral arm nerves.
Wendelken S; Page DM; Davis T; Wark HAC; Kluger DT; Duncan C; Warren DJ; Hutchinson DT; Clark GA
J Neuroeng Rehabil; 2017 Nov; 14(1):121. PubMed ID: 29178940
[TBL] [Abstract][Full Text] [Related]
13. An exploration of grip force regulation with a low-impedance myoelectric prosthesis featuring referred haptic feedback.
Brown JD; Paek A; Syed M; O'Malley MK; Shewokis PA; Contreras-Vidal JL; Davis AJ; Gillespie RB
J Neuroeng Rehabil; 2015 Nov; 12():104. PubMed ID: 26602538
[TBL] [Abstract][Full Text] [Related]
14. Analyzing at-home prosthesis use in unilateral upper-limb amputees to inform treatment & device design.
Spiers AJ; Resnik L; Dollar AM
IEEE Int Conf Rehabil Robot; 2017 Jul; 2017():1273-1280. PubMed ID: 28813996
[TBL] [Abstract][Full Text] [Related]
15. Toward improved sensorimotor integration and learning using upper-limb prosthetic devices.
Gillespie RB; Contreras-Vidal JL; Shewokis PA; O'Malley MK; Brown JD; Agashe H; Gentili R; Davis A
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():5077-80. PubMed ID: 21096030
[TBL] [Abstract][Full Text] [Related]
16. Surveying the interest of individuals with upper limb loss in novel prosthetic control techniques.
Engdahl SM; Christie BP; Kelly B; Davis A; Chestek CA; Gates DH
J Neuroeng Rehabil; 2015 Jun; 12():53. PubMed ID: 26071402
[TBL] [Abstract][Full Text] [Related]
17. PCA and deep learning based myoelectric grasping control of a prosthetic hand.
Li C; Ren J; Huang H; Wang B; Zhu Y; Hu H
Biomed Eng Online; 2018 Aug; 17(1):107. PubMed ID: 30081927
[TBL] [Abstract][Full Text] [Related]
18. Closed-Loop Control of a Neuroprosthetic Hand by Magnetoencephalographic Signals.
Fukuma R; Yanagisawa T; Yorifuji S; Kato R; Yokoi H; Hirata M; Saitoh Y; Kishima H; Kamitani Y; Yoshimine T
PLoS One; 2015; 10(7):e0131547. PubMed ID: 26134845
[TBL] [Abstract][Full Text] [Related]
19. Voluntary phantom hand and finger movements in transhumerai amputees could be used to naturally control polydigital prostheses.
Jarrasse N; Nicol C; Richer F; Touillet A; Martinet N; Paysant J; De Graaf JB
IEEE Int Conf Rehabil Robot; 2017 Jul; 2017():1239-1245. PubMed ID: 28813991
[TBL] [Abstract][Full Text] [Related]
20. Computational approaches to decode grasping force and velocity level in upper-limb amputee from intraneural peripheral signals.
Cracchiolo M; Panarese A; Valle G; Strauss I; Granata G; Iorio RD; Stieglitz T; Rossini PM; Mazzoni A; Micera S
J Neural Eng; 2021 Apr; 18(5):. PubMed ID: 33725672
[No Abstract] [Full Text] [Related]
[Next] [New Search]
