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

Mobile Health (mhealth) (2765) Wearable Devices and Sensors (818) Neurology and Neurosciences (149) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1309) Chronic Conditions (216) New Methods (909) Digital Health, Telehealth and e-Innovation in Clinical Settings (344) Development of Novel Medical Devices and Innovations for Existing Devices (70)

Published on in Vol 23, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30394, first published .
Practice Effects of Mobile Tests of Cognition, Dexterity, and Mobility on Patients With Multiple Sclerosis: Data Analysis of a Smartphone-Based Observational Study

Practice Effects of Mobile Tests of Cognition, Dexterity, and Mobility on Patients With Multiple Sclerosis: Data Analysis of a Smartphone-Based Observational Study

Practice Effects of Mobile Tests of Cognition, Dexterity, and Mobility on Patients With Multiple Sclerosis: Data Analysis of a Smartphone-Based Observational Study

Authors of this article:

Tim Woelfle1, 2 Author Orcid Image ;   Silvan Pless1, 2 Author Orcid Image ;   Andrea Wiencierz3 Author Orcid Image ;   Ludwig Kappos1, 2 Author Orcid Image ;   Yvonne Naegelin1, 2 Author Orcid Image ;   Johannes Lorscheider1, 2 Author Orcid Image
Article Authors Cited by (19) Tweetations (13) Metrics

Journals

  1. Woelfle T, Pless S, Reyes O, Wiencierz A, Feinstein A, Calabrese P, Gugleta K, Kappos L, Lorscheider J, Naegelin Y. Reliability and acceptance of dreaMS, a software application for people with multiple sclerosis: a feasibility study. Journal of Neurology 2023;270(1):262 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. Clay I, Cormack F, Fedor S, Foschini L, Gentile G, van Hoof C, Kumar P, Lipsmeier F, Sano A, Smarr B, Vandendriessche B, De Luca V. Measuring Health-Related Quality of Life With Multimodal Data: Viewpoint. Journal of Medical Internet Research 2022;24(5):e35951 View
  4. Labiano-Fontcuberta A, Monreal E, Benito-León J. Time to rethink the reported disease-modifying treatment effects on cognitive outcomes: Methods and interpretative caveats. Frontiers in Neurology 2022;13 View
  5. Pless S, Woelfle T, Naegelin Y, Lorscheider J, Wiencierz A, Reyes Ó, Calabrese P, Kappos L. Assessment of cognitive performance in multiple sclerosis using smartphone-based training games: a feasibility study. Journal of Neurology 2023;270(7):3451 View
  6. Foong Y, Bridge F, Merlo D, Gresle M, Zhu C, Buzzard K, Butzkueven H, van der Walt A. Smartphone monitoring of cognition in people with multiple sclerosis: A systematic review. Multiple Sclerosis and Related Disorders 2023;73:104674 View
  7. Castrogiovanni N, Mostert J, Repovic P, Bowen J, Uitdehaag B, Strijbis E, Cutter G, Koch M. Longitudinal Changes in Cognitive Test Scores in Patients With Relapsing-Remitting Multiple Sclerosis. Neurology 2023;101(1) View
  8. de Queiroz R, Alves J, Sasaki J. Digital Biomarkers in the Assessment of Mobility in Individuals with Multiple Sclerosis. Sclerosis 2023;1(3):134 View
  9. 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
  10. Labiano-Fontcuberta A, Costa-Frossard L, Sainz de la Maza S, Rodríguez-Jorge F, Chico-García J, González P, Monreal E. Predictive models of multiple sclerosis-related cognitive performance using routine clinical practice predictors. Multiple Sclerosis and Related Disorders 2023;76:104849 View
  11. Ibrahim A, Adler W, Gaßner H, Rothhammer V, Kluge F, Eskofier B. Association between cognition and gait in multiple sclerosis: A smartphone-based longitudinal analysis. International Journal of Medical Informatics 2023;177:105145 View
  12. Graves J, Elantkowski M, Zhang Y, Dondelinger F, Lipsmeier F, Bernasconi C, Montalban X, Midaglia L, Lindemann M. Assessment of Upper Extremity Function in Multiple Sclerosis: Feasibility of a Digital Pinching Test. JMIR Formative Research 2023;7:e46521 View
  13. Van Laethem D, Denissen S, Costers L, Descamps A, Baijot J, Van Remoortel A, Van Merhaegen-Wieleman A, D’hooghe M, D’Haeseleer M, Smeets D, Sima D, Van Schependom J, Nagels G. The Finger Dexterity Test: Validation study of a smartphone-based manual dexterity assessment. Multiple Sclerosis Journal 2024;30(1):121 View
  14. Oh J, Capezzuto L, Kriara L, Schjodt-Eriksen J, van Beek J, Bernasconi C, Montalban X, Butzkueven H, Kappos L, Giovannoni G, Bove R, Julian L, Baker M, Gossens C, Lindemann M. Use of smartphone-based remote assessments of multiple sclerosis in Floodlight Open, a global, prospective, open-access study. Scientific Reports 2024;14(1) View
  15. Vacchi L, Zirone E, Strina V, Cavaletti G, Ferrarese C. Mobile Applications to Support Multiple Sclerosis Communities: The Post-COVID-19 Scenario. Telemedicine and e-Health 2024;30(6):e1615 View
  16. Hechenberger S, Helmlinger B, Tinauer C, Jauk E, Ropele S, Heschl B, Wurth S, Damulina A, Eppinger S, Demjaha R, Khalil M, Enzinger C, Pinter D. Evaluation of a self-administered iPad®-based processing speed assessment for people with multiple sclerosis in a clinical routine setting. Journal of Neurology 2024;271(6):3268 View
  17. Stoll S, Litchman C, Rubin N, Rubin L, Vartanian T. Validated, Quantitative, Machine Learning-Generated Neurologic Assessment of Multiple Sclerosis Using a Mobile Application. International Journal of MS Care 2024;26(2):69 View
  18. Sarnataro A, Cuomo N, Russo C, Carotenuto A, Lanzillo R, Moccia M, Petracca M, Morra V, Saccà F. Integration of the expanded disability status scale with ambulation, visual and cognitive tests. Neurological Sciences 2024 View

Books/Policy Documents

  1. Lam J, Hasan M, Ahmed K, Hossain M. Recent Challenges in Intelligent Information and Database Systems. View