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For: Elnady AM, Zhang X, Xiao ZG, Yong X, Randhawa BK, Boyd L, Menon C. A Single-Session Preliminary Evaluation of an Affordable BCI-Controlled Arm Exoskeleton and Motor-Proprioception Platform. Front Hum Neurosci 2015;9:168. [PMID: 25870554 DOI: 10.3389/fnhum.2015.00168] [Cited by in Crossref: 22] [Cited by in F6Publishing: 13] [Article Influence: 3.1] [Reference Citation Analysis]
Number Citing Articles
1 Tiboni M, Borboni A, Vérité F, Bregoli C, Amici C. Sensors and Actuation Technologies in Exoskeletons: A Review. Sensors (Basel) 2022;22:884. [PMID: 35161629 DOI: 10.3390/s22030884] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 6.0] [Reference Citation Analysis]
2 Chou CH, Wang T, Sun X, Niu CM, Hao M, Xie Q, Lan N. Automated functional electrical stimulation training system for upper-limb function recovery in poststroke patients. Med Eng Phys 2020;84:174-83. [PMID: 32977916 DOI: 10.1016/j.medengphy.2020.09.001] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
3 Dunkelberger N, Schearer EM, O'malley MK. A review of methods for achieving upper limb movement following spinal cord injury through hybrid muscle stimulation and robotic assistance. Experimental Neurology 2020;328:113274. [DOI: 10.1016/j.expneurol.2020.113274] [Cited by in Crossref: 5] [Cited by in F6Publishing: 8] [Article Influence: 2.5] [Reference Citation Analysis]
4 Kögel J, Jox RJ, Friedrich O. What is it like to use a BCI? - insights from an interview study with brain-computer interface users. BMC Med Ethics 2020;21:2. [PMID: 31906947 DOI: 10.1186/s12910-019-0442-2] [Cited by in Crossref: 14] [Cited by in F6Publishing: 17] [Article Influence: 7.0] [Reference Citation Analysis]
5 Benabid AL, Costecalde T, Eliseyev A, Charvet G, Verney A, Karakas S, Foerster M, Lambert A, Morinière B, Abroug N, Schaeffer M, Moly A, Sauter-starace F, Ratel D, Moro C, Torres-martinez N, Langar L, Oddoux M, Polosan M, Pezzani S, Auboiroux V, Aksenova T, Mestais C, Chabardes S. An exoskeleton controlled by an epidural wireless brain–machine interface in a tetraplegic patient: a proof-of-concept demonstration. The Lancet Neurology 2019;18:1112-22. [DOI: 10.1016/s1474-4422(19)30321-7] [Cited by in Crossref: 76] [Cited by in F6Publishing: 85] [Article Influence: 25.3] [Reference Citation Analysis]
6 Xu R, Dosen S, Jiang N, Yao L, Farooq A, Jochumsen M, Mrachacz-Kersting N, Dremstrup K, Farina D. Continuous 2D control via state-machine triggered by endogenous sensory discrimination and a fast brain switch. J Neural Eng 2019;16:056001. [PMID: 31075785 DOI: 10.1088/1741-2552/ab20e5] [Cited by in Crossref: 8] [Cited by in F6Publishing: 5] [Article Influence: 2.7] [Reference Citation Analysis]
7 Jacob S, Menon VG, Al-turjman F, P. G. V, Mostarda L. Artificial Muscle Intelligence System With Deep Learning for Post-Stroke Assistance and Rehabilitation. IEEE Access 2019;7:133463-73. [DOI: 10.1109/access.2019.2941491] [Cited by in Crossref: 25] [Cited by in F6Publishing: 11] [Article Influence: 8.3] [Reference Citation Analysis]
8 Al-Quraishi MS, Elamvazuthi I, Daud SA, Parasuraman S, Borboni A. EEG-Based Control for Upper and Lower Limb Exoskeletons and Prostheses: A Systematic Review. Sensors (Basel) 2018;18:E3342. [PMID: 30301238 DOI: 10.3390/s18103342] [Cited by in Crossref: 29] [Cited by in F6Publishing: 19] [Article Influence: 7.3] [Reference Citation Analysis]
9 Elnady A, Mortenson WB, Menon C. Perceptions of Existing Wearable Robotic Devices for Upper Extremity and Suggestions for Their Development: Findings From Therapists and People With Stroke. JMIR Rehabil Assist Technol 2018;5:e12. [PMID: 29764799 DOI: 10.2196/rehab.9535] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 1.5] [Reference Citation Analysis]
10 Zhang X, Elnady AM, Randhawa BK, Boyd LA, Menon C. Combining Mental Training and Physical Training With Goal-Oriented Protocols in Stroke Rehabilitation: A Feasibility Case Study. Front Hum Neurosci 2018;12:125. [PMID: 29666575 DOI: 10.3389/fnhum.2018.00125] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 1.5] [Reference Citation Analysis]
11 Zhang X, Yong X, Menon C, He B. Evaluating the versatility of EEG models generated from motor imagery tasks: An exploratory investigation on upper-limb elbow-centered motor imagery tasks. PLoS ONE 2017;12:e0188293. [DOI: 10.1371/journal.pone.0188293] [Cited by in Crossref: 3] [Article Influence: 0.6] [Reference Citation Analysis]
12 Stewart AM, Pretty CG, Adams M, Chen X. Review of Upper Limb Hybrid Exoskeletons. IFAC-PapersOnLine 2017;50:15169-78. [DOI: 10.1016/j.ifacol.2017.08.2266] [Cited by in Crossref: 20] [Cited by in F6Publishing: 11] [Article Influence: 4.0] [Reference Citation Analysis]
13 Tavakolan M, Yong X, Zhang X, Menon C. Classification Scheme for Arm Motor Imagery. J Med Biol Eng 2016;36:12-21. [PMID: 27069460 DOI: 10.1007/s40846-016-0102-7] [Cited by in Crossref: 10] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]