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For: Budhota A, Chua KSG, Hussain A, Kager S, Cherpin A, Contu S, Vishwanath D, Kuah CWK, Ng CY, Yam LHL, Loh YJ, Rajeswaran DK, Xiang L, Burdet E, Campolo D. Robotic Assisted Upper Limb Training Post Stroke: A Randomized Control Trial Using Combinatory Approach Toward Reducing Workforce Demands. Front Neurol 2021;12:622014. [PMID: 34149587 DOI: 10.3389/fneur.2021.622014] [Cited by in Crossref: 7] [Cited by in F6Publishing: 8] [Article Influence: 3.5] [Reference Citation Analysis]
Number Citing Articles
1 Ranzani R, Albrecht M, Haarman CJW, Koh E, Devittori G, Held JPO, Tönis FJ, Gassert R, Lambercy O. Design, characterization and preliminary usability testing of a portable robot for unsupervised therapy of hand function. Front Mech Eng 2023;8. [DOI: 10.3389/fmech.2022.1075795] [Reference Citation Analysis]
2 Tohanean N, Tucan P, Vanta OM, Abrudan C, Pintea S, Gherman B, Burz A, Banica A, Vaida C, Neguran DA, Ordog A, Tarnita D, Pisla D. The Efficacity of the NeuroAssist Robotic System for Motor Rehabilitation of the Upper Limb-Promising Results from a Pilot Study. J Clin Med 2023;12. [PMID: 36675354 DOI: 10.3390/jcm12020425] [Reference Citation Analysis]
3 Kashoo FZ, Al-Baradie RS, Alzahrani M, Alanazi A, Manzar MD, Gugnani A, Sidiq M, Shaphe MA, Sirajudeen MS, Ahmad M, Althumayri B, Aljandal A, Almansour A, Alshewaier SA, Chahal A. Effect of Transcranial Direct Current Stimulation Augmented with Motor Imagery and Upper-Limb Functional Training for Upper-Limb Stroke Rehabilitation: A Prospective Randomized Controlled Trial. Int J Environ Res Public Health 2022;19. [PMID: 36429924 DOI: 10.3390/ijerph192215199] [Reference Citation Analysis]
4 Andersson R, Björsell N. The Energy Consumption and Robust Case Torque Control of a Rehabilitation Hip Exoskeleton. Applied Sciences 2022;12:11104. [DOI: 10.3390/app122111104] [Reference Citation Analysis]
5 Chockalingam M, Vasanthan LT, Balasubramanian S, Sriram V. Experiences of patients who had a stroke and rehabilitation professionals with upper limb rehabilitation robots: a qualitative systematic review protocol. BMJ Open 2022;12:e065177. [PMID: 36123077 DOI: 10.1136/bmjopen-2022-065177] [Reference Citation Analysis]
6 Devittori G, Ranzani R, Dinacci D, Romiti D, Califfi A, Petrillo C, Rossi P, Gassert R, Lambercy O. Automatic and Personalized Adaptation of Therapy Parameters for Unsupervised Robot-Assisted Rehabilitation: a Pilot Evaluation. 2022 International Conference on Rehabilitation Robotics (ICORR) 2022. [DOI: 10.1109/icorr55369.2022.9896527] [Reference Citation Analysis]
7 Schuster-Amft C, Kool J, Möller JC, Schweinfurther R, Ernst MJ, Reicherzer L, Ziller C, Schwab ME, Wieser S, Wirz M; SRTI study group. Feasibility and cost description of highly intensive rehabilitation involving new technologies in patients with post-acute stroke-a trial of the Swiss RehabTech Initiative. Pilot Feasibility Stud 2022;8:139. [PMID: 35791026 DOI: 10.1186/s40814-022-01086-0] [Reference Citation Analysis]
8 [DOI: 10.1145/3529261.3529274] [Reference Citation Analysis]
9 Pignolo L, Tonin P, Nicotera P, Bagetta G, Scuteri D. ROBOCOP (ROBOtic Care of Poststroke Pain): Study Protocol for a Randomized Trial to Assess Robot-Assisted Functional and Motor Recovery and Impact on Poststroke Pain Development. Front Neurol 2022;13:813282. [DOI: 10.3389/fneur.2022.813282] [Reference Citation Analysis]
10 Selamat SNS, Che Me R, Ahmad Ainuddin H, Salim MSF, Ramli HR, Romli MH. The Application of Technological Intervention for Stroke Rehabilitation in Southeast Asia: A Scoping Review With Stakeholders' Consultation. Front Public Health 2022;9:783565. [DOI: 10.3389/fpubh.2021.783565] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Major ZZ, Vaida C, Major KA, Tucan P, Brusturean E, Gherman B, Birlescu I, Craciunaș R, Ulinici I, Simori G, Banica A, Pop N, Burz A, Carbone G, Pisla D. Comparative Assessment of Robotic versus Classical Physical Therapy Using Muscle Strength and Ranges of Motion Testing in Neurological Diseases. J Pers Med 2021;11:953. [PMID: 34683094 DOI: 10.3390/jpm11100953] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 3.0] [Reference Citation Analysis]