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For: Pratap A, Grant D, Vegesna A, Tummalacherla M, Cohan S, Deshpande C, Mangravite L, Omberg L. Evaluating the Utility of Smartphone-Based Sensor Assessments in Persons With Multiple Sclerosis in the Real-World Using an App (elevateMS): Observational, Prospective Pilot Digital Health Study. JMIR Mhealth Uhealth 2020;8:e22108. [PMID: 33107827 DOI: 10.2196/22108] [Cited by in Crossref: 7] [Cited by in F6Publishing: 4] [Article Influence: 3.5] [Reference Citation Analysis]
Number Citing Articles
1 Abou L, Wong E, Peters J, Dossou MS, Sosnoff JJ, Rice LA. Smartphone applications to assess gait and postural control in people with multiple sclerosis: A systematic review. Mult Scler Relat Disord 2021;51:102943. [PMID: 33873026 DOI: 10.1016/j.msard.2021.102943] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Salchow-hömmen C, Skrobot M, Jochner MCE, Schauer T, Kühn AA, Wenger N. Review—Emerging Portable Technologies for Gait Analysis in Neurological Disorders. Front Hum Neurosci 2022;16:768575. [DOI: 10.3389/fnhum.2022.768575] [Reference Citation Analysis]
3 Inojosa H, Akgün K, Haacke K, Ziemssen T. [MSProDiscuss - Development of a Digital Anamnesis Tool to Identify Disease Progression in Multiple Sclerosis]. Fortschr Neurol Psychiatr 2021;89:374-81. [PMID: 33723837 DOI: 10.1055/a-1397-6851] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
4 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 Uhealth 2021;9:e27087. [PMID: 34751663 DOI: 10.2196/27087] [Reference Citation Analysis]
5 Daniore P, Nittas V, von Wyl V. Enrollment and retention of participants in remote digital health studies: a scoping review and framework proposal (Preprint). Journal of Medical Internet Research. [DOI: 10.2196/39910] [Reference Citation Analysis]
6 The MindKind Consortium. MindKind: A mixed-methods protocol for the feasibility of global digital mental health studies in young people. Wellcome Open Res 2021;6:275. [DOI: 10.12688/wellcomeopenres.17167.1] [Reference Citation Analysis]
7 Mokhberdezfuli M, Ayatollahi H, Naser Moghadasi A. A Smartphone-based Application for Self-Management in Multiple Sclerosis. J Healthc Eng 2021;2021:6749951. [PMID: 34221301 DOI: 10.1155/2021/6749951] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
8 Beukenhorst AL, Burke KM, Scheier Z, Miller TM, Paganoni S, Keegan M, Collins E, Connaghan KP, Tay A, Chan J, Berry JD, Onnela JP. Using Smartphones to Reduce Research Burden in a Neurodegenerative Population and Assessing Participant Adherence: A Randomized Clinical Trial and Two Observational Studies. JMIR Mhealth Uhealth 2022;10:e31877. [PMID: 35119373 DOI: 10.2196/31877] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Gupta AS. Digital Phenotyping in Clinical Neurology. Semin Neurol 2022. [PMID: 35016250 DOI: 10.1055/s-0041-1741495] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
10 The MindKind Consortium. MindKind: A mixed-methods protocol for the feasibility of global digital mental health studies in young people. Wellcome Open Res 2021;6:275. [DOI: 10.12688/wellcomeopenres.17167.2] [Reference Citation Analysis]
11 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 Sci 2021;11:1187. [PMID: 34573208 DOI: 10.3390/brainsci11091187] [Reference Citation Analysis]
12 Gopal A, Hsu WY, Allen DD, Bove R. Remote Assessments of Hand Function in Neurological Disorders: Systematic Review. JMIR Rehabil Assist Technol 2022;9:e33157. [PMID: 35262502 DOI: 10.2196/33157] [Reference Citation Analysis]
13 van Oirschot P, Heerings M, Wendrich K, den Teuling B, Dorssers F, van Ee R, Martens MB, Jongen PJ. A Two-Minute Walking Test With a Smartphone App for Persons With Multiple Sclerosis: Validation Study. JMIR Form Res 2021;5:e29128. [PMID: 34787581 DOI: 10.2196/29128] [Reference Citation Analysis]
14 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 Uhealth 2021;9:e19564. [PMID: 33861208 DOI: 10.2196/19564] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]