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Cited by in F6Publishing
For: Aguirre A, Pinto MJ, Cifuentes CA, Perdomo O, Díaz CAR, Múnera M. Machine Learning Approach for Fatigue Estimation in Sit-to-Stand Exercise. Sensors (Basel) 2021;21:5006. [PMID: 34372241 DOI: 10.3390/s21155006] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
Number Citing Articles
1 Filosa M, Massari L, Ferraro D, D'alesio G, D'abbraccio J, Aliperta A, Presti DL, Di Tocco J, Zaltieri M, Massaroni C, Carrozza MC, Ferrarin M, Di Rienzo M, Schena E, Oddo CM. A meta-learning algorithm for respiratory flow prediction from FBG-based wearables in unrestrained conditions. Artificial Intelligence in Medicine 2022. [DOI: 10.1016/j.artmed.2022.102328] [Reference Citation Analysis]
2 Pinto-Bernal MJ, Cifuentes CA, Perdomo O, Rincón-Roncancio M, Múnera M. A Data-Driven Approach to Physical Fatigue Management Using Wearable Sensors to Classify Four Diagnostic Fatigue States. Sensors (Basel) 2021;21:6401. [PMID: 34640722 DOI: 10.3390/s21196401] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]