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Pubmed for Handhelds
PUBMED FOR HANDHELDS
Journal Abstract Search
313 related items for PubMed ID: 26476869
1. Using a brain-machine interface to control a hybrid upper limb exoskeleton during rehabilitation of patients with neurological conditions. Hortal E, Planelles D, Resquin F, Climent JM, Azorín JM, Pons JL. J Neuroeng Rehabil; 2015 Oct 17; 12():92. PubMed ID: 26476869 [Abstract] [Full Text] [Related]
5. Enhancing brain-machine interface (BMI) control of a hand exoskeleton using electrooculography (EOG). Witkowski M, Cortese M, Cempini M, Mellinger J, Vitiello N, Soekadar SR. J Neuroeng Rehabil; 2014 Dec 16; 11():165. PubMed ID: 25510922 [Abstract] [Full Text] [Related]
7. Combining a hybrid robotic system with a bain-machine interface for the rehabilitation of reaching movements: A case study with a stroke patient. Resquin F, Ibañez J, Gonzalez-Vargas J, Brunetti F, Dimbwadyo I, Alves S, Carrasco L, Torres L, Pons JL. Annu Int Conf IEEE Eng Med Biol Soc; 2016 Aug 16; 2016():6381-6384. PubMed ID: 28269708 [Abstract] [Full Text] [Related]
9. Design of a brain-machine interface for reducing false activations of a lower-limb exoskeleton based on error related potential. Soriano-Segura P, Ortiz M, Iáñez E, Azorín JM. Comput Methods Programs Biomed; 2024 Oct 16; 255():108332. PubMed ID: 39053352 [Abstract] [Full Text] [Related]
10. Classification of different reaching movements from the same limb using EEG. Shiman F, López-Larraz E, Sarasola-Sanz A, Irastorza-Landa N, Spüler M, Birbaumer N, Ramos-Murguialday A. J Neural Eng; 2017 Aug 16; 14(4):046018. PubMed ID: 28467325 [Abstract] [Full Text] [Related]
11. Neural activity modulations and motor recovery following brain-exoskeleton interface mediated stroke rehabilitation. Bhagat NA, Yozbatiran N, Sullivan JL, Paranjape R, Losey C, Hernandez Z, Keser Z, Grossman R, Francisco GE, O'Malley MK, Contreras-Vidal JL. Neuroimage Clin; 2020 Aug 16; 28():102502. PubMed ID: 33395991 [Abstract] [Full Text] [Related]
12. An Upper-Limb Rehabilitation Exoskeleton System Controlled by MI Recognition Model With Deep Emphasized Informative Features in a VR Scene. Tang Z, Wang H, Cui Z, Jin X, Zhang L, Peng Y, Xing B. IEEE Trans Neural Syst Rehabil Eng; 2023 Aug 16; 31():4390-4401. PubMed ID: 37910412 [Abstract] [Full Text] [Related]
13. Usability and acceptance of using a lower-limb exoskeleton controlled by a BMI in incomplete spinal cord injury patients: a case study. Quiles V, Ferrero L, Ianez E, Ortiz M, Megia A, Comino N, Gil-Agudo AM, Azorin JM. Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul 16; 2020():4737-4740. PubMed ID: 33019049 [Abstract] [Full Text] [Related]
17. Validation of a Hybrid Exoskeleton for Upper Limb Rehabilitation. A Preliminary Study. Alguacil-Diego IM, Cuesta-Gómez A, Contreras-González AF, Pont-Esteban D, Cantalejo-Escobar D, Sánchez-Urán MÁ, Ferre M. Sensors (Basel); 2021 Nov 04; 21(21):. PubMed ID: 34770647 [Abstract] [Full Text] [Related]
18. A force-based human machine interface to drive a motorized upper limb exoskeleton. a pilot study. Gandolla M, Luciani B, Pirovano DE, Pedrocchi A, Braghin F. IEEE Int Conf Rehabil Robot; 2022 Jul 04; 2022():1-6. PubMed ID: 36176155 [Abstract] [Full Text] [Related]
19. Design of continuous EMG classification approaches towards the control of a robotic exoskeleton in reaching movements. Irastorza-Landa N, Sarasola-Sanz A, Lopez-Larraz E, Bibian C, Shiman P, Birbaumer N, Ramos-Murguialday A. IEEE Int Conf Rehabil Robot; 2017 Jul 04; 2017():128-133. PubMed ID: 28813806 [Abstract] [Full Text] [Related]
20. Evaluation of the effects of the Arm Light Exoskeleton on movement execution and muscle activities: a pilot study on healthy subjects. Pirondini E, Coscia M, Marcheschi S, Roas G, Salsedo F, Frisoli A, Bergamasco M, Micera S. J Neuroeng Rehabil; 2016 Jan 23; 13():9. PubMed ID: 26801620 [Abstract] [Full Text] [Related] Page: [Next] [New Search]