e.g. mhealth
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Skip search results from other journals and go to results- 13 JMIR mHealth and uHealth
- 8 JMIR Research Protocols
- 8 Journal of Medical Internet Research
- 7 JMIR Rehabilitation and Assistive Technologies
- 6 JMIR Formative Research
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- 3 JMIR Human Factors
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Gait after a hip fracture has mostly been assessed using patient-reported outcome measures that are prone to response bias or via standardized walking tests in clinical settings and laboratory assessments [15]. Traditional supervised gait assessments using sophisticated technology in laboratory settings, such as gold standard instrumented gait analysis, allow for accurate spatiotemporal measurements of gait in a controlled laboratory environment [14,16].
JMIR Form Res 2025;9:e67792
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Gait serves as an indicator of an individual’s health status and physical function [1]. In particular, gait speed has been widely used as a general assessment parameter due to its simple measurement [2], and issue with gait speed have been associated with cognitive decline [3], survival rates [4], and body-related quality of life [5]. However, gait is a complex biomechanical process that requires comprehensive assessment of cadence, rhythm, variability, and asymmetry [6].
JMIR Rehabil Assist Technol 2025;12:e66886
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Secondary outcome measures are kinematic assessment of gait, one-leg stand test, 6-minute walk distance (6 MWD), proprioception assessment, and Functional Independence Score in Hemophilia. All patients will have completed their factor replacement 1 hour before the assessment section.
Postural sway will be evaluated using the Biodex balance system, which is a reliable method (Figure 2) [20].
JMIR Res Protoc 2025;14:e66770
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Gait and balance were assessed with 3 different active tests. The SBT instructed participants to stand as still as possible for 30 seconds with both feet on the ground and with their eyes open. The UTT prompted participants to perform at least 5 U-turns on an even ground 4 meters apart within 60 seconds and, thus, assesses both gait and dynamic balance. By comparison, the 2 MWT assessed gait during straight walking without turning on an even ground for 2 minutes.
J Med Internet Res 2025;27:e63090
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Gait disturbances are common in people with Parkinson disease (PD), and include shuffling gait, shortened step length, altered automaticity, decreased arm swing, and freezing of gait [2]. These represent a particularly disabling group of symptoms, significantly hampering the quality of life of people with PD [3] and increasing the risk of falls [4].
Daily steps are an easy-to-collect and useful measure of ambulatory activity and mobility [5].
JMIR Form Res 2025;9:e63153
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This can be in direct terms, for example monitoring systems that assist care professionals carrying out their duties within care settings [12] and also indirectly with at-home monitoring devices designed to reduce the occurrence of injuries by, for example, assessing gait [13,14] and predicting fall events [3,15], with the goal of reducing the potential burden on secondary care and ultimately reducing the burden on the care-home sector and keeping people at home, healthy, and independent for longer [9,16,17]
JMIR Hum Factors 2025;12:e59458
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Smartphone and wearable sensor-based technology have been increasingly used to advance the detection and monitoring of various diseases [10], for example, smartphone apps can monitor gait and balance changes and provide valuable insights for patients with progressive Parkinson disease [11].
J Med Internet Res 2025;27:e65615
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Specifically, the primary focus of the study revolves around enhancing balance, and gait, and alleviating the fear of falling among elderly patients with PD. This is gauged through the utilization of the 3 POMA scales (POMA balance, POMA Gait, and POMA Total) after the 10 treatment sessions, as a result of the Irish dance intervention.
JMIR Aging 2025;8:e62930
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Studies [20-24] have shown that patients with KOA are prone to abnormal gait or gait dysfunction due to pain, stiffness, limited joint range of motion, and other symptoms, and their gait patterns are specifically characterized by unstable gait and high variability.
JMIR Aging 2024;7:e58261
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In this study, the gait analyzer’s output was validated using a gait lab equipped with a force plate and motion capture system to ensure accuracy. Cross-validation revealed an average deviation of 9% between the gait analyzer’s results and those obtained in the gait lab for key parameters such as cadence, toe-off moment, and swing power.
For this study, the gait analyzer was used to measure gait mechanics, including cadence, toe-off moment, and swing power.
JMIR Form Res 2024;8:e58110
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