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For: Drużbicki M, Przysada G, Guzik A, Brzozowska-Magoń A, Kołodziej K, Wolan-Nieroda A, Majewska J, Kwolek A. The Efficacy of Gait Training Using a Body Weight Support Treadmill and Visual Biofeedback in Patients with Subacute Stroke: A Randomized Controlled Trial. Biomed Res Int 2018;2018:3812602. [PMID: 29850509 DOI: 10.1155/2018/3812602] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 1.8] [Reference Citation Analysis]
Number Citing Articles
1 Leszczak J, Czenczek-Lewandowska E, Przysada G, Baran J, Weres A, Wyszyńska J, Mazur A, Kwolek A. Association Between Body Mass Index and Results of Rehabilitation in Patients After Stroke: A 3-Month Observational Follow-Up Study. Med Sci Monit 2019;25:4869-76. [PMID: 31257360 DOI: 10.12659/MSM.915586] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
2 Hsu CJ, Kim J, Roth EJ, Rymer WZ, Wu M. Use of Pelvic Corrective Force With Visual Feedback Improves Paretic Leg Muscle Activities and Gait Performance After Stroke. IEEE Trans Neural Syst Rehabil Eng 2019;27:2353-60. [PMID: 31675335 DOI: 10.1109/TNSRE.2019.2950226] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
3 Choi W. Effects of Robot-Assisted Gait Training with Body Weight Support on Gait and Balance in Stroke Patients. Int J Environ Res Public Health 2022;19:5814. [PMID: 35627346 DOI: 10.3390/ijerph19105814] [Reference Citation Analysis]
4 Ladi-Seyedian SS, Sharifi-Rad L, Nabavizadeh B, Kajbafzadeh AM. Traditional Biofeedback vs. Pelvic Floor Physical Therapy-Is One Clearly Superior? Curr Urol Rep 2019;20:38. [PMID: 31147796 DOI: 10.1007/s11934-019-0901-9] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]
5 Phan HL, Le TH, Lim JM, Hwang CH, Koo K. Effectiveness of Augmented Reality in Stroke Rehabilitation: A Meta-Analysis. Applied Sciences 2022;12:1848. [DOI: 10.3390/app12041848] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
6 Spencer J, Wolf SL, Kesar TM. Biofeedback for Post-stroke Gait Retraining: A Review of Current Evidence and Future Research Directions in the Context of Emerging Technologies. Front Neurol 2021;12:637199. [PMID: 33859607 DOI: 10.3389/fneur.2021.637199] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
7 Ma CZ, Bao T, DiCesare CA, Harris I, Chambers A, Shull PB, Zheng YP, Cham R, Sienko KH. Reducing Slip Risk: A Feasibility Study of Gait Training with Semi-Real-Time Feedback of Foot-Floor Contact Angle. Sensors (Basel) 2022;22:3641. [PMID: 35632054 DOI: 10.3390/s22103641] [Reference Citation Analysis]
8 Skvortsov DV, Kaurkin SN, Ivanova GE, Polyaev BB, Bulatova MA. Targeted walking training of patients in the early recovery period of cerebral stroke (preliminary research). Journal of Clinical Practice 2021;12:12-22. [DOI: 10.17816/clinpract77334] [Reference Citation Analysis]
9 Yu XM, Jin XM, Lu Y, Gao Y, Xu HC, Xue X, Fang L, Hu J. Effects of Body Weight Support-Tai Chi Footwork Training on Balance Control and Walking Function in Stroke Survivors with Hemiplegia: A Pilot Randomized Controlled Trial. Evid Based Complement Alternat Med 2020;2020:9218078. [PMID: 33414842 DOI: 10.1155/2020/9218078] [Reference Citation Analysis]
10 Thompson LA, Badache M, Brusamolin JAR, Savadkoohi M, Guise J, Paiva GVD, Suh P, Sanchez Guerrero P, Shetty D. Multidirectional Overground Robotic Training Leads to Improvements in Balance in Older Adults. Robotics 2021;10:101. [DOI: 10.3390/robotics10030101] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Marzolini S, Wu CY, Hussein R, Xiong LY, Kangatharan S, Peni A, Cooper CR, Lau KSK, Nzodjou Makhdoom G, Pakosh M, Zaban SA, Nguyen MM, Banihashemi MA, Swardfager W. Associations Between Time After Stroke and Exercise Training Outcomes: A Meta-Regression Analysis. J Am Heart Assoc 2021;10:e022588. [PMID: 34913357 DOI: 10.1161/JAHA.121.022588] [Reference Citation Analysis]
12 Przysada G, Czenczek-Lewandowska E, Wyszyńska J, Weres A, Baran J, Kwolek A, Leszczak J. Effect of Post-Stroke Rehabilitation on Body Mass Composition in Relation to Socio-Demographic and Clinical Factors. Int J Environ Res Public Health 2020;17:E5134. [PMID: 32708623 DOI: 10.3390/ijerph17145134] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
13 Chen S, Kang J, Peng C, Hsu C, Lin Y, Lai C. Adjustable Parameters and the Effectiveness of Adjunct Robot-Assisted Gait Training in Individuals with Chronic Stroke. IJERPH 2022;19:8186. [DOI: 10.3390/ijerph19138186] [Reference Citation Analysis]
14 Fang Y, Lerner ZF. Feasibility of Augmenting Ankle Exoskeleton Walking Performance With Step Length Biofeedback in Individuals With Cerebral Palsy. IEEE Trans Neural Syst Rehabil Eng 2021;29:442-9. [PMID: 33523814 DOI: 10.1109/TNSRE.2021.3055796] [Reference Citation Analysis]
15 Skvortsov DV, Kaurkin SN, Ivanova GE. A Study of Biofeedback Gait Training in Cerebral Stroke Patients in the Early Recovery Phase with Stance Phase as Target Parameter. Sensors (Basel) 2021;21:7217. [PMID: 34770524 DOI: 10.3390/s21217217] [Reference Citation Analysis]