This paper is in the following e-collection/theme issue:

Formative Evaluation of Digital Health Interventions (2410) mHealth for Wellness, Behavior Change and Prevention (2871) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1399) Design and Formative Evaluation of Mobile Apps (694) Fitness Trackers and Smart Pedometers/Accelerometers (561) mHealth for Data Collection and Research (955) Usability of Apps and User Perceptions of mHealth (974)

Published on in Vol 5, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29128, first published .
A Two-Minute Walking Test With a Smartphone App for Persons With Multiple Sclerosis: Validation Study

A Two-Minute Walking Test With a Smartphone App for Persons With Multiple Sclerosis: Validation Study

A Two-Minute Walking Test With a Smartphone App for Persons With Multiple Sclerosis: Validation Study

Authors of this article:

Pim van Oirschot1 Author Orcid Image ;   Marco Heerings2, 3 Author Orcid Image ;   Karine Wendrich4 Author Orcid Image ;   Bram den Teuling1 Author Orcid Image ;   Frank Dorssers1 Author Orcid Image ;   René van Ee1, 5 Author Orcid Image ;   Marijn Bart Martens6, 7 Author Orcid Image ;   Peter Joseph Jongen8, 9 Author Orcid Image
Article Authors Cited by (7) Tweetations (9) Metrics

Journals

  1. Lam K, Bucur I, van Oirschot P, de Graaf F, Strijbis E, Uitdehaag B, Heskes T, Killestein J, de Groot V. Personalized monitoring of ambulatory function with a smartphone 2-minute walk test in multiple sclerosis. Multiple Sclerosis Journal 2023;29(4-5):606 View
  2. Michaud J, Penny C, Cull O, Hervet E, Chamard-Witkowski L. Remote Testing Apps for Multiple Sclerosis Patients: Scoping Review of Published Articles and Systematic Search and Review of Public Smartphone Apps. JMIR Neurotechnology 2023;2:e37944 View
  3. Woelfle T, Bourguignon L, Lorscheider J, Kappos L, Naegelin Y, Jutzeler C. Wearable Sensor Technologies to Assess Motor Functions in People With Multiple Sclerosis: Systematic Scoping Review and Perspective. Journal of Medical Internet Research 2023;25:e44428 View
  4. Caramaschi S, Olsson C, Orchard E, Molloy J, Salvi D. Assessing the Effect of Data Quality on Distance Estimation in Smartphone-Based Outdoor 6MWT. Sensors 2024;24(8):2632 View
  5. Molenaar P, Noteboom S, van Nederpelt D, Krijnen E, Jelgerhuis J, Lam K, Druijff-van de Woestijne G, Meijer K, van Oirschot P, de Jong B, Brouwer I, Jasperse B, de Groot V, Uitdehaag B, Schoonheim M, Strijbis E, Killestein J. Digital outcome measures are associated with brain atrophy in patients with multiple sclerosis. Journal of Neurology 2024;271(9):5958 View
  6. 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
  7. Jin K, Kosa P, Bielekova B. Smartphone tests quantify lower extremities dysfunction in multiple sclerosis. Frontiers in Neurology 2024;15 View