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Evaluating the Accuracy and Reliability of Real-World Digital Mobility Outcomes in Older Adults After Hip Fracture: Cross-Sectional Observational Study

Evaluating the Accuracy and Reliability of Real-World Digital Mobility Outcomes in Older Adults After Hip Fracture: Cross-Sectional Observational Study

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].

Martin A Berge, Anisoara Paraschiv-Ionescu, Cameron Kirk, Arne Küderle, Encarna Micó-Amigo, Clemens Becker, Andrea Cereatti, Silvia Del Din, Monika Engdal, Judith Garcia-Aymerich, Karoline B Grønvik, Clint Hansen, Jeffrey M Hausdorff, Jorunn L Helbostad, Carl-Philipp Jansen, Lars Gunnar Johnsen, Jochen Klenk, Sarah Koch, Walter Maetzler, Dimitrios Megaritis, Arne Müller, Lynn Rochester, Lars Schwickert, Kristin Taraldsen, Beatrix Vereijken

JMIR Form Res 2025;9:e67792

Validation of Gait Kinematics With Ramp and Stair Ascent and Descent Revealed by Markerless Motion Capture in Simulated Living Space: Test-Retest Reliability Study

Validation of Gait Kinematics With Ramp and Stair Ascent and Descent Revealed by Markerless Motion Capture in Simulated Living Space: Test-Retest Reliability Study

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].

Daiki Shimotori, Kenji Kato, Tatsuya Yoshimi, Izumi Kondo

JMIR Rehabil Assist Technol 2025;12:e66886

Comparison of Efficiency of Closed Kinetic Chain Exercises Versus Proprioceptive Exercises in Improving Balance and Gait in People With Hemophilia: Protocol for a Randomized Controlled Trial

Comparison of Efficiency of Closed Kinetic Chain Exercises Versus Proprioceptive Exercises in Improving Balance and Gait in People With Hemophilia: Protocol for a Randomized Controlled Trial

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].

Tugce Poyraz Isleyen, Ela Tarakci, Gokce Leblebici, Ipek Yeldan, Bulent Zulfikar

JMIR Res Protoc 2025;14:e66770

Investigating Measurement Equivalence of Smartphone Sensor–Based Assessments: Remote, Digital, Bring-Your-Own-Device Study

Investigating Measurement Equivalence of Smartphone Sensor–Based Assessments: Remote, Digital, Bring-Your-Own-Device Study

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.

Lito Kriara, Frank Dondelinger, Luca Capezzuto, Corrado Bernasconi, Florian Lipsmeier, Adriano Galati, Michael Lindemann

J Med Internet Res 2025;27:e63090

Reliability of Average Daily Steps Measured Through a Consumer Smartwatch in Parkinson Disease Phenotypes, Stages, and Severities: Cross-Sectional Study

Reliability of Average Daily Steps Measured Through a Consumer Smartwatch in Parkinson Disease Phenotypes, Stages, and Severities: Cross-Sectional Study

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].

Edoardo Bianchini, Domiziana Rinaldi, Lanfranco De Carolis, Silvia Galli, Marika Alborghetti, Clint Hansen, Antonio Suppa, Marco Salvetti, Francesco Ernesto Pontieri, Nicolas Vuillerme

JMIR Form Res 2025;9:e63153

On the Necessity of Multidisciplinarity in the Development of at-Home Health Monitoring Platforms for Older Adults: Systematic Review

On the Necessity of Multidisciplinarity in the Development of at-Home Health Monitoring Platforms for Older Adults: Systematic Review

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]

Chris Lochhead, Robert B Fisher

JMIR Hum Factors 2025;12:e59458

Remote Monitoring of Chemotherapy-Induced Peripheral Neuropathy by the NeuroDetect iOS App: Observational Cohort Study of Patients With Cancer

Remote Monitoring of Chemotherapy-Induced Peripheral Neuropathy by the NeuroDetect iOS App: Observational Cohort Study of Patients With Cancer

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].

Ciao-Sin Chen, Michael P Dorsch, Sarah Alsomairy, Jennifer J Griggs, Reshma Jagsi, Michael Sabel, Amro Stino, Brian Callaghan, Daniel L Hertz

J Med Internet Res 2025;27:e65615

Functional Monitoring of Patients With Knee Osteoarthritis Based on Multidimensional Wearable Plantar Pressure Features: Cross-Sectional Study

Functional Monitoring of Patients With Knee Osteoarthritis Based on Multidimensional Wearable Plantar Pressure Features: Cross-Sectional Study

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.

Junan Xie, Shilin Li, Zhen Song, Lin Shu, Qing Zeng, Guozhi Huang, Yihuan Lin

JMIR Aging 2024;7:e58261

Ability of Heart Rate Recovery and Gait Kinetics in a Single Wearable to Predict Frailty: Quasiexperimental Pilot Study

Ability of Heart Rate Recovery and Gait Kinetics in a Single Wearable to Predict Frailty: Quasiexperimental Pilot Study

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.

Reshma Aziz Merchant, Bernard Loke, Yiong Huak Chan

JMIR Form Res 2024;8:e58110