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Cited by in F6Publishing
For: Goffredo M, Pournajaf S, Proietti S, Gison A, Posteraro F, Franceschini M. Retrospective Robot-Measured Upper Limb Kinematic Data From Stroke Patients Are Novel Biomarkers. Front Neurol 2021;12:803901. [PMID: 34992576 DOI: 10.3389/fneur.2021.803901] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Goffredo M, Proietti S, Pournajaf S, Galafate D, Cioeta M, Le Pera D, Posteraro F, Franceschini M. Baseline robot-measured kinematic metrics predict discharge rehabilitation outcomes in individuals with subacute stroke. Front Bioeng Biotechnol 2022;10:1012544. [PMID: 36561043 DOI: 10.3389/fbioe.2022.1012544] [Reference Citation Analysis]
2 Camardella C, Cappiello G, Curto Z, Germanotta M, Aprile I, Mazzoleni S, Scoglio A, Frisoli A. A Random Tree Forest decision support system to personalize upper extremity robot-assisted rehabilitation in stroke: a pilot study. 2022 International Conference on Rehabilitation Robotics (ICORR) 2022. [DOI: 10.1109/icorr55369.2022.9896509] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
3 Faity G, Mottet D, Froger J. Validity and Reliability of Kinect v2 for Quantifying Upper Body Kinematics during Seated Reaching. Sensors 2022;22:2735. [DOI: 10.3390/s22072735] [Reference Citation Analysis]