Published on in Vol 8 , No 10 (2020) :October
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/22108, first published
.

Journals
- Hsieh K, Fanning J, Frechette M, Sosnoff J. Usability of a Fall Risk Mobile Health Application for People with Multiple Sclerosis: A Mixed Methods Study (Preprint). JMIR Human Factors 2020 View
- Inojosa H, Akgün K, Haacke K, Ziemssen T. MSProDiscuss – Entwicklung eines digitalen Tools zur standardisierten Patientenanamnese, um Progredienz bei Multipler Sklerose zu identifizieren. Fortschritte der Neurologie · Psychiatrie 2021;89(07/08):374 View
- Palotai M, Wallack M, Kujbus G, Dalnoki A, Guttmann C. Usability of a Mobile App for Real-Time Assessment of Fatigue and Related Symptoms in Patients With Multiple Sclerosis: Observational Study. JMIR mHealth and uHealth 2021;9(4):e19564 View
- Abou L, Wong E, Peters J, Dossou M, Sosnoff J, Rice L. Smartphone applications to assess gait and postural control in people with multiple sclerosis: A systematic review. Multiple Sclerosis and Related Disorders 2021;51:102943 View
- Mokhberdezfuli M, Ayatollahi H, Naser Moghadasi A, Taiar R. A Smartphone-based Application for Self-Management in Multiple Sclerosis. Journal of Healthcare Engineering 2021;2021:1 View
- Freeman L, Kee A, Tian M, Mehta R. Retrospective Claims Analysis of Treatment Patterns, Relapse, Utilization, and Cost Among Patients with Multiple Sclerosis Initiating Second-Line Disease-Modifying Therapy. Drugs - Real World Outcomes 2021;8(4):497 View
- Alonso R, Eizaguirre M, López P, Silva B, Rojas J, Sinay V, Tkachuk V, Patrucco L, Carra A, Bruno D, Pagani Cassara F, Fernández Liguori N, Tavolini D, Camerlingo S, Garcea O, Galiani A, Mainella C, Barboza A, Luetic G, Carnero Contentti E. Argentinean consensus recommendations for the use of telemedicine in clinical practice in adult people with multiple sclerosis. Neurological Sciences 2023;44(2):667 View
- . MindKind: A mixed-methods protocol for the feasibility of global digital mental health studies in young people. Wellcome Open Research 2022;6:275 View
- 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
- Daniore P, Nittas V, von Wyl V. Enrollment and Retention of Participants in Remote Digital Health Studies: Scoping Review and Framework Proposal. Journal of Medical Internet Research 2022;24(9):e39910 View
- Gopal A, Hsu W, Allen D, Bove R. Remote Assessments of Hand Function in Neurological Disorders: Systematic Review. JMIR Rehabilitation and Assistive Technologies 2022;9(1):e33157 View
- 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
- Bonnechère B, Rintala A, Spooren A, Lamers I, Feys P. Is mHealth a Useful Tool for Self-Assessment and Rehabilitation of People with Multiple Sclerosis? A Systematic Review. Brain Sciences 2021;11(9):1187 View
- Creagh A, Dondelinger F, Lipsmeier F, Lindemann M, De Vos M. Longitudinal Trend Monitoring of Multiple Sclerosis Ambulation Using Smartphones. IEEE Open Journal of Engineering in Medicine and Biology 2022;3:202 View
- Gupta A. Digital Phenotyping in Clinical Neurology. Seminars in Neurology 2022;42(01):048 View
- Soulard J, Vaillant J, Baillet A, Gaudin P, Vuillerme N. Gait and Axial Spondyloarthritis: Comparative Gait Analysis Study Using Foot-Worn Inertial Sensors. JMIR mHealth and uHealth 2021;9(11):e27087 View
- . MindKind: A mixed-methods protocol for the feasibility of global digital mental health studies in young people. Wellcome Open Research 2021;6:275 View
- Salchow-Hömmen C, Skrobot M, Jochner M, Schauer T, Kühn A, Wenger N. Review—Emerging Portable Technologies for Gait Analysis in Neurological Disorders. Frontiers in Human Neuroscience 2022;16 View
- Pratap A, Homiar A, Waninger L, Herd C, Suver C, Volponi J, Anguera J, Areán P. Real-world behavioral dataset from two fully remote smartphone-based randomized clinical trials for depression. Scientific Data 2022;9(1) View
- van Oirschot P, Heerings M, Wendrich K, den Teuling B, Dorssers F, van Ee R, Martens M, Jongen P. A Two-Minute Walking Test With a Smartphone App for Persons With Multiple Sclerosis: Validation Study. JMIR Formative Research 2021;5(11):e29128 View
- Beukenhorst A, Burke K, Scheier Z, Miller T, Paganoni S, Keegan M, Collins E, Connaghan K, Tay A, Chan J, Berry J, Onnela J. Using Smartphones to Reduce Research Burden in a Neurodegenerative Population and Assessing Participant Adherence: A Randomized Clinical Trial and Two Observational Studies. JMIR mHealth and uHealth 2022;10(2):e31877 View
- van Beek J, Lehnick D, Pastore-Wapp M, Wapp S, Kamm C, Nef T, Vanbellingen T. Tablet app-based dexterity training in multiple sclerosis (TAD-MS): a randomized controlled trial. Disability and Rehabilitation: Assistive Technology 2022:1 View
- Rosenlund M, Kinnunen U, Saranto K. The Use of Digital Health Services Among Patients and Citizens Living at Home: Scoping Review. Journal of Medical Internet Research 2023;25:e44711 View
- 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
- Howard Z, Win K, Guan V. Mobile apps used for people living with multiple sclerosis: A scoping review. Multiple Sclerosis and Related Disorders 2023;73:104628 View
- Young F, Mason R, Morris R, Stuart S, Godfrey A. IoT-Enabled Gait Assessment: The Next Step for Habitual Monitoring. Sensors 2023;23(8):4100 View
- De Anda-Duran I, Hwang P, Popp Z, Low S, Ding H, Rahman S, Igwe A, Kolachalama V, Lin H, Au R. Matching science to reality: how to deploy a participant-driven digital brain health platform. Frontiers in Dementia 2023;2 View
- Taylor J, Heuer H, Clark A, Wise A, Manoochehri M, Forsberg L, Mester C, Rao M, Brushaber D, Kramer J, Welch A, Kornak J, Kremers W, Appleby B, Dickerson B, Domoto‐Reilly K, Fields J, Ghoshal N, Graff‐Radford N, Grossman M, Hall M, Huey E, Irwin D, Lapid M, Litvan I, Mackenzie I, Masdeu J, Mendez M, Nevler N, Onyike C, Pascual B, Pressman P, Rankin K, Ratnasiri B, Rojas J, Tartaglia M, Wong B, Gorno‐Tempini M, Boeve B, Rosen H, Boxer A, Staffaroni A. Feasibility and acceptability of remote smartphone cognitive testing in frontotemporal dementia research. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring 2023;15(2) View
Books/Policy Documents
- Luxton R. Advanced Sensor Technology. View