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For: Storm FA, Cesareo A, Reni G, Biffi E. Wearable Inertial Sensors to Assess Gait during the 6-Minute Walk Test: A Systematic Review. Sensors (Basel) 2020;20:E2660. [PMID: 32384806 DOI: 10.3390/s20092660] [Cited by in Crossref: 6] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Pires IM, Denysyuk HV, Villasana MV, Sá J, Marques DL, Morgado JF, Albuquerque C, Zdravevski E. Development Technologies for the Monitoring of Six-Minute Walk Test: A Systematic Review. Sensors (Basel) 2022;22:581. [PMID: 35062542 DOI: 10.3390/s22020581] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Wendt K, Trentzsch K, Haase R, Weidemann ML, Weidemann R, Aßmann U, Ziemssen T. Transparent Quality Optimization for Machine Learning-Based Regression in Neurology. JPM 2022;12:908. [DOI: 10.3390/jpm12060908] [Reference Citation Analysis]
3 Shah VV, Curtze C, Sowalsky K, Arpan I, Mancini M, Carlson-kuhta P, El-gohary M, Horak FB, Mcnames J. Inertial Sensor Algorithm to Estimate Walk Distance. Sensors 2022;22:1077. [DOI: 10.3390/s22031077] [Reference Citation Analysis]
4 Rubega M, Di Marco R, Zampini M, Formaggio E, Menegatti E, Bonato P, Masiero S, Del Felice A. Muscular and cortical activation during dynamic and static balance in the elderly: A scoping review. Aging Brain 2021;1:100013. [DOI: 10.1016/j.nbas.2021.100013] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
5 Cimolin V, Gobbi M, Buratto C, Ferraro S, Fumagalli A, Galli M, Capodaglio P. A Comparative Analysis of Shoes Designed for Subjects with Obesity Using a Single Inertial Sensor: Preliminary Results. Sensors 2022;22:782. [DOI: 10.3390/s22030782] [Reference Citation Analysis]
6 Li X, Xue C, Gu X, Arif M. Athlete Gait Feature Recognition Method Based on Multisource Sensing Information. Security and Communication Networks 2022;2022:1-10. [DOI: 10.1155/2022/2857465] [Reference Citation Analysis]
7 Marotta N, de Sire A, Marinaro C, Moggio L, Inzitari MT, Russo I, Tasselli A, Paolucci T, Valentino P, Ammendolia A. Efficacy of Transcranial Direct Current Stimulation (tDCS) on Balance and Gait in Multiple Sclerosis Patients: A Machine Learning Approach. J Clin Med 2022;11:3505. [PMID: 35743575 DOI: 10.3390/jcm11123505] [Reference Citation Analysis]
8 Hsieh KL, Mirelman A, Shema-Shiratzky S, Galperin I, Regev K, Shen S, Schmitz-Hübsch T, Karni A, Paul F, Devos H, Sosnoff JJ, Hausdorff JM. A multi-modal virtual reality treadmill intervention for enhancing mobility and cognitive function in people with multiple sclerosis: Protocol for a randomized controlled trial. Contemp Clin Trials 2020;97:106122. [PMID: 32858229 DOI: 10.1016/j.cct.2020.106122] [Cited by in Crossref: 3] [Article Influence: 1.5] [Reference Citation Analysis]
9 Albán-Cadena AC, Villalba-Meneses F, Pila-Varela KO, Moreno-Calvo A, Villalba-Meneses CP, Almeida-Galárraga DA. Wearable sensors in the diagnosis and study of Parkinson's disease symptoms: a systematic review. J Med Eng Technol 2021;:1-14. [PMID: 34060967 DOI: 10.1080/03091902.2021.1922528] [Reference Citation Analysis]
10 Hughes CML, Tran B, Modan A, Zhang X. Accuracy and Validity of a Single Inertial Measurement Unit-Based System to Determine Upper Limb Kinematics for Medically Underserved Populations. Front Bioeng Biotechnol 2022;10:918617. [DOI: 10.3389/fbioe.2022.918617] [Reference Citation Analysis]
11 Marin F. Human and Animal Motion Tracking Using Inertial Sensors. Sensors (Basel) 2020;20:E6074. [PMID: 33114597 DOI: 10.3390/s20216074] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
12 Berg-Hansen P, Moen SM, Austeng A, Gonzales V, Klyve TD, Negård H, Seeberg TM, Celius EG, Meyer F. Sensor-based gait analyses of the six-minute walk test identify qualitative improvement in gait parameters of people with multiple sclerosis after rehabilitation. J Neurol 2022. [PMID: 35166925 DOI: 10.1007/s00415-022-10998-z] [Reference Citation Analysis]
13 Trentzsch K, Melzer B, Stölzer-Hutsch H, Haase R, Bartscht P, Meyer P, Ziemssen T. Automated Analysis of the Two-Minute Walk Test in Clinical Practice Using Accelerometer Data. Brain Sci 2021;11:1507. [PMID: 34827506 DOI: 10.3390/brainsci11111507] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]