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Physical Activity and Enjoyment in Active Virtual Reality Games in Youth: Comparative Analysis of Gorilla Tag and Beat Saber

Brenden Boots, Daniel Berg, Easton Hewitt, Keith Naugle, Kelly Naugle

JMIR Serious Games 2025;13:e66593

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Home-Based Nonimmersive Virtual Reality Training After Discharge From Inpatient or Outpatient Stroke Rehabilitation: Parallel Feasibility Randomized Controlled Trial

Lisa Sheehy, Anne Taillon-Hobson, Heidi Sveistrup, Martin Bilodeau, Christine Yang, Vivian Welch, Hillel Finestone

JMIR Rehabil Assist Technol 2025;12:e64729

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A Game-Based Mechatronic Device for Digital Rehabilitation of Hand Function After a Stroke: Design, Prototyping, and Feasibility Study

Anuprita Kanitkar, Nariman Sepehri, Ariel Lezen, Sanjay Tejraj Parmar, Cherry Kit-Fong Hin, Tony Joseph Szturm

JMIR Neurotech 2025;4:e67779

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Detecting Freezing of Gait in Parkinson Disease Using Multiple Wearable Sensors Sets During Various Walking Tasks Relative to Medication Conditions (DetectFoG): Protocol for a Prospective Cohort Study

Sébastien Cordillet, Sophie Drapier, Frédérique Leh, Audeline Dumont, Florian Bidet, Isabelle Bonan, Karim Jamal

JMIR Res Protoc 2025;14:e58612

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Effectiveness of a New Device for Hand, Wrist, and Forearm Rehabilitation: Feasibility Randomized Controlled Trial

Adriana M Ríos Rincón, Christine Guptill, Yilina Liubaoerjijin, Mathieu Figeys, Farnaz Koubasi, Geoffrey Gregson, Antonio Miguel Cruz

JMIR Rehabil Assist Technol 2025;12:e62809

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Feasibility of At-Home Hand Arm Bimanual Intensive Training in Virtual Reality: Case Study

James E Gehringer, Anne Woodruff Jameson, Hailey Boyer, Jennifer Konieczny, Ryan Thomas, James Pierce III, Andrea B Cunha, Sandra Willett

JMIR Form Res 2024;8:e57588

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Implementation and Evaluation of a Gait Training Assistant for the Use of Crutches: Usability Study

Milan Anton Wolf, Leon Sauerwald, Felix Kosmalla, Florian Daiber, Antonio Krüger, Stefan Landgraeber

JMIR Hum Factors 2024;11:e51898

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Recognition of Daily Activities in Adults With Wearable Inertial Sensors: Deep Learning Methods Study

Alberto De Ramón Fernández, Daniel Ruiz Fernández, Miguel García Jaén, Juan M. Cortell-Tormo

JMIR Med Inform 2024;12:e57097

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Markerless Motion Capture to Quantify Functional Performance in Neurodegeneration: Systematic Review

Julian Jeyasingh-Jacob, Mark Crook-Rumsey, Harshvi Shah, Theresita Joseph, Subati Abulikemu, Sarah Daniels, David J Sharp, Shlomi Haar

JMIR Aging 2024;7:e52582

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Efficacy of Digital Dance on Brain Imagery, Cognition, and Health: Randomized Controlled Trial

Heng-Hsin Tung, Chen-Yuan Kuo, Pei-Lin Lee, Chih-Wen Chang, Kun-Hsien Chou, Ching-Po Lin, Liang-Kung Chen

J Med Internet Res 2024;26:e57694

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