Published on in Vol 9, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16304, first published .
The SleepFit Tablet Application for Home-Based Clinical Data Collection in Parkinson Disease: User-Centric Development and Usability Study

The SleepFit Tablet Application for Home-Based Clinical Data Collection in Parkinson Disease: User-Centric Development and Usability Study

The SleepFit Tablet Application for Home-Based Clinical Data Collection in Parkinson Disease: User-Centric Development and Usability Study

Journals

  1. Raschellà F, Scafa S, Puiatti A, Martin Moraud E, Ratti P. Actigraphy Enables Home Screening of Rapid Eye Movement Behavior Disorder in Parkinson's Disease. Annals of Neurology 2023;93(2):317 View
  2. Gaßner H, Friedrich J, Masuch A, Jukic J, Stallforth S, Regensburger M, Marxreiter F, Winkler J, Klucken J. The Effects of an Individualized Smartphone-Based Exercise Program on Self-defined Motor Tasks in Parkinson Disease: Pilot Interventional Study. JMIR Rehabilitation and Assistive Technologies 2022;9(4):e38994 View
  3. Bendig J, Spanz A, Leidig J, Frank A, Stahr M, Reichmann H, Loewenbrück K, Falkenburger B. Measuring the Usability of eHealth Solutions for Patients With Parkinson Disease: Observational Study. JMIR Formative Research 2022;6(10):e39954 View
  4. Conte R, Sansone F, Tonacci A, Pala A. Privacy-by-Design and Minimization within a Small Electronic Health Record: The Health360 Case Study. Applied Sciences 2022;12(17):8441 View