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Comparing In-Person, Standard Telehealth, and Remote Musculoskeletal Examination With a Novel Augmented Reality Exercise Game System: Pilot Cross-Sectional Comparison Study

Comparing In-Person, Standard Telehealth, and Remote Musculoskeletal Examination With a Novel Augmented Reality Exercise Game System: Pilot Cross-Sectional Comparison Study

For musculoskeletal examinations, health care providers using existing telemedicine systems may attempt to remotely evaluate patients’ range of motion and concentric and eccentric strength by asking them to move a joint or extremity across its full range of motion, raise a limb against gravity, or lift objects of known weight [12].

Richard Wu, Keerthana Chakka, Sara Belko, Ninad Khargonkar, Kevin Desai, Balakrishnan Prabhakaran, Thiru Annaswamy

JMIR Serious Games 2025;13:e57443

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

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

However, these materials typically do not enable therapists to accurately determine and measure their patients’ range of motion or strength during functional hand movements and exercises, which can contribute to inconsistencies in treatment protocols across therapists and settings.

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

JMIR Rehabil Assist Technol 2025;12:e62809

Quantifying Similarities Between MediaPipe and a Known Standard to Address Issues in Tracking 2D Upper Limb Trajectories: Proof of Concept Study

Quantifying Similarities Between MediaPipe and a Known Standard to Address Issues in Tracking 2D Upper Limb Trajectories: Proof of Concept Study

While well-established, research-grade markerless systems exist, balancing resources, cost, and output are important to consider when using motion-tracking software. The development of artificial intelligence (AI)–based systems for motion tracking, such as Open Pose [9], Deep Lab Cut [10], and Media Pipe [11] are “lightweight” approaches that allow the tailoring of computational difficulty and accuracy according to their application.

Vaidehi Wagh, Matthew W Scott, Sarah N Kraeutner

JMIR Form Res 2024;8:e56682

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

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

The search included publications from all years in the CINAHL, Embase, MEDLINE, and Scopus databases using the terms “Motion Capture,” “Motion Analysis,” “Movement Analysis,” and “Pose Estimation” in combination with “Dementia,” “Mild cognitive impairment,” and “Parkinson’s disease.” The details of the search activity can be found in Multimedia Appendix 1.

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

JMIR Aging 2024;7:e52582

Movement Component Analysis of Reaching Strategies in Individuals With Stroke: Preliminary Study

Movement Component Analysis of Reaching Strategies in Individuals With Stroke: Preliminary Study

These efforts include movement tests with 3 D motion analysis and robotic measurements, which have shown that various aspects of human upper limb motion can be quantified using these technologies [12-15]. Central to these analyses is the study of hand movements, as the hand serves as the primary end effector of the upper limb. What individuals can achieve with their upper limbs is determined by these hand displacements and their manipulation abilities.

Hirofumi Ota, Masahiko Mukaino, Yukari Inoue, Shoh Matsuura, Senju Yagi, Yoshikiyo Kanada, Eiichi Saitoh, Yohei Otaka

JMIR Rehabil Assist Technol 2023;10:e50571

The Variability of Lumbar Sequential Motion Patterns: Observational Study

The Variability of Lumbar Sequential Motion Patterns: Observational Study

Physiological motion of the lumbar spine is of interest for musculoskeletal health care professionals. Motion of the lumbar spine is dependent on multiple structures, for example facet joint orientation, spinal-pelvic relations, intervertebral disc loading, and muscle recruitment. Although the concept of physiological motion is used in many instances, a proper definition is still lacking. Over the last 90 years, several attempts to define physiological motion have been made.

Inge Caelers, Toon Boselie, Wouter van Hemert, Kim Rijkers, Rob De Bie, Henk van Santbrink

JMIR Biomed Eng 2023;8:e41906

Differences in Brain Activity and Body Movements Between Virtual Reality and Offline Exercise: Randomized Crossover Trial

Differences in Brain Activity and Body Movements Between Virtual Reality and Offline Exercise: Randomized Crossover Trial

Calorie consumption during each session was calculated using each participant’s weights, motion retention time (from the start to the end of the movement), and the metabolic equivalent of task (MET) of the Pilates motion, according to the MET formula [38]. The MET formula has been adopted in various clinical studies, and its reliability has been demonstrated through meta-analyses [39,40].

Hee Jin Kim, Jea Woog Lee, Gangta Choi, Junghoon Huh, Doug Hyun Han

JMIR Serious Games 2023;11:e40421

Impact of Personalized Avatars and Motion Synchrony on Embodiment and Users’ Subjective Experience: Empirical Study

Impact of Personalized Avatars and Motion Synchrony on Embodiment and Users’ Subjective Experience: Empirical Study

This experiment had a 2 (motion; sync vs async) × 2 (appearance; personalized vs generic) within-subject design to examine the main effects of motion synchrony and appearance similarity and the interaction effect between them. In the motion “sync” condition, the virtual avatar’s body moved according to the participant’s movement, whereas in the motion “async” condition, the virtual avatar moved according to prerecorded movements, regardless of the participant’s movement.

Myeongul Jung, Sangyong Sim, Jejoong Kim, Kwanguk Kim

JMIR Serious Games 2022;10(4):e40119