Published on 24.06.15 in Vol 2, No 1 (2015): Jan-Jun
Works citing "Usability and Acceptability of ASSESS MS: Assessment of Motor Dysfunction in Multiple Sclerosis Using Depth-Sensing Computer Vision"
According to Crossref, the following articles are citing this article (DOI 10.2196/humanfactors.4129):
(note that this is only a small subset of citations)
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D'Souza M, Van Munster CEP, Dorn JF, Dorier A, Kamm CP, Steinheimer S, Dahlke F, Uitdehaag BMJ, Kappos L, Johnson M. Autoencoder as a New Method for Maintaining Data Privacy While Analyzing Videos of Patients With Motor Dysfunction: Proof-of-Concept Study. Journal of Medical Internet Research 2020;22(5):e16669
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D’Souza M, Steinheimer S, Dorn J, Morrison C, Boisvert J, Kravalis K, Burggraaff J, van Munster CE, Diederich M, Sellen A, Kamm CP, Dahlke F, Uitdehaag BM, Kappos L. Reference videos reduce variability of motor dysfunction assessments in multiple sclerosis. Multiple Sclerosis Journal - Experimental, Translational and Clinical 2018;4(3):205521731879239
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Puh U, Hoehlein B, Deutsch JE. Validity and Reliability of the Kinect for Assessment of Standardized Transitional Movements and Balance. Physical Medicine and Rehabilitation Clinics of North America 2019;30(2):399
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. Connected health and multiple sclerosis. Revue Neurologique 2018;174(6):480
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Brichetto G, Pedullà L, Podda J, Tacchino A. Beyond center-based testing: Understanding and improving functioning with wearable technology in MS. Multiple Sclerosis Journal 2019;25(10):1402
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Morrison C, Huckvale K, Corish B, Dorn J, Kontschieder P, O’Hara K, Team AM, Criminisi A, Sellen A. Assessing Multiple Sclerosis With Kinect: Designing Computer Vision Systems for Real-World Use. Human–Computer Interaction 2016;31(3-4):191
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Burggraaff J, Dorn J, D'Souza M, Morrison C, Kamm CP, Kontschieder P, Tewarie P, Steinheimer S, Sellen A, Dahlke F, Kappos L, Uitdehaag B. Video-Based Pairwise Comparison: Enabling the Development of Automated Rating of Motor Dysfunction in Multiple Sclerosis. Archives of Physical Medicine and Rehabilitation 2020;101(2):234
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Parmar K, Stadelmann C, Rocca MA, Langdon D, D'Angelo E, D’Souza M, Burggraaff J, Wegner C, Sastre-Garriga J, Barrantes-Freer A, Dorn J, Uitdehaag BM, Montalban X, Wuerfel J, Enzinger C, Rovira A, Tintore M, Filippi M, Kappos L, Sprenger T. The role of the cerebellum in multiple sclerosis—150 years after Charcot. Neuroscience & Biobehavioral Reviews 2018;89:85
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Ploderer B, Fong J, Klaic M, Nair S, Vetere F, Cofré Lizama LE, Galea MP. How Therapists Use Visualizations of Upper Limb Movement Information From Stroke Patients: A Qualitative Study With Simulated Information. JMIR Rehabilitation and Assistive Technologies 2016;3(2):e9
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Marziniak M, Brichetto G, Feys P, Meyding-Lamadé U, Vernon K, Meuth SG. The Use of Digital and Remote Communication Technologies as a Tool for Multiple Sclerosis Management: Narrative Review. JMIR Rehabilitation and Assistive Technologies 2018;5(1):e5
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Morrison C, Huckvale K, Corish B, Banks R, Grayson M, Dorn J, Sellen A, Lindley S. Visualizing Ubiquitously Sensed Measures of Motor Ability in Multiple Sclerosis. ACM Transactions on Interactive Intelligent Systems 2018;8(2):1
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Rasche L, Scheel M, Otte K, Althoff P, van Vuuren AB, Gieß RM, Kuchling J, Bellmann-Strobl J, Ruprecht K, Paul F, Brandt AU, Schmitz-Hübsch T. MRI Markers and Functional Performance in Patients With CIS and MS: A Cross-Sectional Study. Frontiers in Neurology 2018;9
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van Munster CE, D’Souza M, Steinheimer S, Kamm CP, Burggraaff J, Diederich M, Kravalis K, Dorn J, Walsh L, Dahlke F, Kappos L, Uitdehaag BM. Tasks of activities of daily living (ADL) are more valuable than the classical neurological examination to assess upper extremity function and mobility in multiple sclerosis. Multiple Sclerosis Journal 2019;25(12):1673
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D’Souza M, Papadopoulou A, Girardey C, Kappos L. Standardization and digitization of clinical data in multiple sclerosis. Nature Reviews Neurology 2021;17(2):119
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Asan O, Choudhury A. Research Trends in Artificial Intelligence Applications in Human Factors Health Care: Mapping Review. JMIR Human Factors 2021;8(2):e28236
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Papatheodorou N, Pino A, Kouroupetroglou GT, Constantinides V, Andreadou E, Papageorgiou CC. Upper Limb Motor Skills Performance Evaluation Based on Point-and-Click Cursor Trajectory Analysis: Application in Early Multiple Sclerosis Detection. IEEE Access 2019;7:28999
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Röhling HM, Althoff P, Arsenova R, Drebinger D, Gigengack N, Chorschew A, Kroneberg D, Rönnefarth M, Ellermeyer T, Rosenkranz SC, Heesen C, Behnia B, Hirano S, Kuwabara S, Paul F, Brandt AU, Schmitz-Hübsch T. Proposal for Post Hoc Quality Control in Instrumented Motion Analysis Using Markerless Motion Capture: Development and Usability Study. JMIR Human Factors 2022;9(2):e26825
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Röhling HM, Otte K, Rekers S, Finke C, Rust R, Dorsch E, Behnia B, Paul F, Schmitz-Hübsch T. RGB-Depth Camera-Based Assessment of Motor Capacity: Normative Data for Six Standardized Motor Tasks. International Journal of Environmental Research and Public Health 2022;19(24):16989
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van Munster CE, Burggraaff J, Steinheimer S, Kamm CP, D’Souza M, Diederich M, Dorn J, Walsh L, Dahlke F, Kappos L, Uitdehaag BM. Assessment of Multiple Aspects of Upper Extremity Function Independent From Ambulation in Patients With Multiple Sclerosis. International Journal of MS Care 2023;25(5):226
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