Published on in Vol 24, No 11 (2022): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37614, first published .
The Use of Smartphone Keystroke Dynamics to Passively Monitor Upper Limb and Cognitive Function in Multiple Sclerosis: Longitudinal Analysis

The Use of Smartphone Keystroke Dynamics to Passively Monitor Upper Limb and Cognitive Function in Multiple Sclerosis: Longitudinal Analysis

The Use of Smartphone Keystroke Dynamics to Passively Monitor Upper Limb and Cognitive Function in Multiple Sclerosis: Longitudinal Analysis

Journals

  1. Masanneck L, Gieseler P, Gordon W, Meuth S, Stern A. Evidence from ClinicalTrials.gov on the growth of Digital Health Technologies in neurology trials. npj Digital Medicine 2023;6(1) View
  2. Hoeijmakers A, Licitra G, Meijer K, Lam K, Molenaar P, Strijbis E, Killestein J. Disease severity classification using passively collected smartphone-based keystroke dynamics within multiple sclerosis. Scientific Reports 2023;13(1) View
  3. Nguyen T, Leow A, Ajilore O. A Review on Smartphone Keystroke Dynamics as a Digital Biomarker for Understanding Neurocognitive Functioning. Brain Sciences 2023;13(6):959 View
  4. 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
  5. Liu W, Yeh C, Chen P, Lin C, Liu A. Keystroke Biometrics as a Tool for the Early Diagnosis and Clinical Assessment of Parkinson’s Disease. Diagnostics 2023;13(19):3061 View
  6. De Palma G, Sala E, Rubino S, Dalola S, Ferrari M, Marioli D, Apostoli P, Tomasi C, Righetti F, Mattioli F, Ferrari V. Objective Evaluation of Active Interactions between the Operator and Display Screen Equipment Using an Innovative Acquisition System. Bioengineering 2023;10(6):686 View
  7. Harris C, Tang Y, Birnbaum E, Cherian C, Mendhe D, Chen M. Digital Neuropsychology beyond Computerized Cognitive Assessment: Applications of Novel Digital Technologies. Archives of Clinical Neuropsychology 2024;39(3):290 View
  8. Paolillo E, Casaletto K, Clark A, Taylor J, Heuer H, Wise A, Dhanam S, Sanderson-Cimino M, Saloner R, Kramer J, Kornak J, Kremers W, Forsberg L, Appleby B, Bayram E, Bozoki A, Brushaber D, Darby R, Day G, Dickerson B, Domoto-Reilly K, Elahi F, Fields J, Ghoshal N, Graff-Radford N, G H Hall M, Honig L, Huey E, Lapid M, Litvan I, Mackenzie I, Masdeu J, Mendez M, Mester C, Miyagawa T, Naasan G, Pascual B, Pressman P, Ramos E, Rankin K, Rexach J, Rojas J, VandeVrede L, Wong B, Wszolek Z, Boeve B, Rosen H, Boxer A, Staffaroni A. Examining Associations Between Smartphone Use and Clinical Severity in Frontotemporal Dementia: Proof-of-Concept Study. JMIR Aging 2024;7:e52831 View
  9. Arteaga-Bracho E, Cosne G, Kanzler C, Karatsidis A, Mazzà C, Penalver-Andres J, Zhu C, Shen C, Erb M. K, Freigang M, Lapp H, Thiele S, Wenninger S, Jung E, Petri S, Weiler M, Kleinschnitz C, Walter M, Günther R, Campbell N, Belachew S, Hagenacker T. Smartphone-Based Assessment of Mobility and Manual Dexterity in Adult People with Spinal Muscular Atrophy. Journal of Neuromuscular Diseases 2024;11(5):1049 View
  10. 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