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Cited by in F6Publishing
For: Huang S, Cai S, Li G, Chen Y, Ma K, Xie L. sEMG-Based Detection of Compensation Caused by Fatigue During Rehabilitation Therapy: A Pilot Study. IEEE Access 2019;7:127055-65. [DOI: 10.1109/access.2019.2933287] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 2.3] [Reference Citation Analysis]
Number Citing Articles
1 Xie P, Lin C, Cai S, Xie L. Learning-Based Compensation-Corrective Control Strategy for Upper Limb Rehabilitation Robots. Int J of Soc Robotics 2022. [DOI: 10.1007/s12369-022-00943-5] [Reference Citation Analysis]
2 Jiang Y, Malliaras P, Chen B, Kulić D. Real-time forecasting of exercise-induced fatigue from wearable sensors. Comput Biol Med 2022;148:105905. [PMID: 35905661 DOI: 10.1016/j.compbiomed.2022.105905] [Reference Citation Analysis]
3 Wang X, Fu Y, Ye B, Babineau J, Ding Y, Mihailidis A. Technology-Based Compensation Assessment and Detection of Upper Extremity Activities of Stroke Survivors: Systematic Review. J Med Internet Res 2022;24:e34307. [PMID: 35699982 DOI: 10.2196/34307] [Reference Citation Analysis]
4 Wang X, Fu Y, Ye B, Babineau J, Ding Y, Mihailidis A. Technology-Based Compensation Assessment and Detection of Upper Extremity Activities of Stroke Survivors: Systematic Review (Preprint).. [DOI: 10.2196/preprints.34307] [Reference Citation Analysis]
5 Tang N. Image recognition algorithm for exercise fatigue based on FPGA processor and motion image capture. Microprocessors and Microsystems 2021;81:103756. [DOI: 10.1016/j.micpro.2020.103756] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
6 Huang LK, Huang LN, Gao YM, Lucev Vasic Z, Cifrek M, Du M. Electrical Impedance Myography Applied to Monitoring of Muscle Fatigue During Dynamic Contractions. IEEE Access 2020;8:13056-65. [DOI: 10.1109/access.2020.2965982] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 6.0] [Reference Citation Analysis]