Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46521, first published .
Assessment of Upper Extremity Function in Multiple Sclerosis: Feasibility of a Digital Pinching Test

Assessment of Upper Extremity Function in Multiple Sclerosis: Feasibility of a Digital Pinching Test

Assessment of Upper Extremity Function in Multiple Sclerosis: Feasibility of a Digital Pinching Test

Journals

  1. Galati A, Kriara L, Lindemann M, Lehner R, Jones J. User Experience of a Large-Scale Smartphone-Based Observational Study in Multiple Sclerosis: Global, Open-Access, Digital-Only Study. JMIR Human Factors 2024;11:e57033 View
  2. Scaramozza M, Ruet A, Chiesa P, Ahamada L, Bartholomé E, Carment L, Charre-Morin J, Cosne G, Diouf L, Guo C, Juraver A, Kanzler C, Karatsidis A, Mazzà C, Penalver-Andres J, Ruiz M, Saubusse A, Simoneau G, Scotland A, Sun Z, Tang M, van Beek J, Zajac L, Belachew S, Brochet B, Campbell N. Sensor-Derived Measures of Motor and Cognitive Functions in People With Multiple Sclerosis Using Unsupervised Smartphone-Based Assessments: Proof-of-Concept Study. JMIR Formative Research 2024;8:e60673 View
  3. Jiang X, McGinley M, Johnston J, Alberts J, Bermel R, Ontaneda D, Naismith R, Hyde R, Levitt N, van Beek J, Sun Z, Campbell N, Barro C. A digital version of the nine-hole peg test: Speed may be a more reliable measure of upper-limb disability than completion time in patients with multiple sclerosis. Multiple Sclerosis Journal 2024 View