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Cited by in F6Publishing
For: Roldán Jiménez C, Bennett P, Ortiz García A, Cuesta Vargas AI. Fatigue Detection during Sit-To-Stand Test Based on Surface Electromyography and Acceleration: A Case Study. Sensors (Basel) 2019;19:E4202. [PMID: 31569776 DOI: 10.3390/s19194202] [Cited by in Crossref: 10] [Cited by in F6Publishing: 5] [Article Influence: 3.3] [Reference Citation Analysis]
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2 Saiklang P, Puntumetakul R, Selfe J, Yeowell G. An Evaluation of an Innovative Exercise to Relieve Chronic Low Back Pain in Sedentary Workers. Hum Factors 2020;:18720820966082. [PMID: 33111563 DOI: 10.1177/0018720820966082] [Reference Citation Analysis]
3 Saiklang P, Puntumetakul R, Chatprem T. The Effect of Core Stabilization Exercise with the Abdominal Drawing-in Maneuver Technique on Stature Change during Prolonged Sitting in Sedentary Workers with Chronic Low Back Pain. Int J Environ Res Public Health 2022;19:1904. [PMID: 35162924 DOI: 10.3390/ijerph19031904] [Reference Citation Analysis]
4 Khan H, Kushwah KK, Singh S, Urkude H, Maurya MR, Sadasivuni KK. Smart technologies driven approaches to tackle COVID-19 pandemic: a review. 3 Biotech 2021;11:50. [PMID: 33457174 DOI: 10.1007/s13205-020-02581-y] [Cited by in Crossref: 24] [Cited by in F6Publishing: 11] [Article Influence: 24.0] [Reference Citation Analysis]
5 Ancans A, Greitans M, Cacurs R, Banga B, Rozentals A. Wearable Sensor Clothing for Body Movement Measurement during Physical Activities in Healthcare. Sensors (Basel) 2021;21:2068. [PMID: 33809433 DOI: 10.3390/s21062068] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Das R, Paul S, Mourya GK, Kumar N, Hussain M. Recent Trends and Practices Toward Assessment and Rehabilitation of Neurodegenerative Disorders: Insights From Human Gait. Front Neurosci 2022;16:859298. [DOI: 10.3389/fnins.2022.859298] [Reference Citation Analysis]
7 Hellec J, Chorin F, Castagnetti A, Colson SS. Sit-To-Stand Movement Evaluated Using an Inertial Measurement Unit Embedded in Smart Glasses-A Validation Study. Sensors (Basel) 2020;20:E5019. [PMID: 32899618 DOI: 10.3390/s20185019] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
8 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: 1] [Reference Citation Analysis]
9 Khaloufi H, Abouelmehdi K, Beni-Hssane A, Rustam F, Jurcut AD, Lee E, Ashraf I. Deep Learning Based Early Detection Framework for Preliminary Diagnosis of COVID-19 via Onboard Smartphone Sensors. Sensors (Basel) 2021;21:6853. [PMID: 34696066 DOI: 10.3390/s21206853] [Reference Citation Analysis]
10 Díaz-Balboa E, González-Salvado V, Rodríguez-Romero B, Martínez-Monzonís A, Pedreira-Pérez M, Cuesta-Vargas AI, López-López R, González-Juanatey JR, Pena-Gil C. Thirty-second sit-to-stand test as an alternative for estimating peak oxygen uptake and 6-min walking distance in women with breast cancer: a cross-sectional study. Support Care Cancer 2022. [PMID: 35819522 DOI: 10.1007/s00520-022-07268-z] [Reference Citation Analysis]
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