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Vibrotactile Feedback Strategies for Trunk-Stabilizing Exercises in a Home-Based Scenario: Qualitative Interview Study Among Physiotherapists

Vibrotactile Feedback Strategies for Trunk-Stabilizing Exercises in a Home-Based Scenario: Qualitative Interview Study Among Physiotherapists

This tactile feedback can be delivered through wearable systems. This study is part of a broader effort to develop a haptic physiotherapy assistant, including a wearable device that provides vibrotactile feedback. Among the wearable formats, the shirt stands out as particularly promising due to its ability to cover larger areas of the body, allowing for precise and distributed feedback during rehabilitation exercises.

Kaya Holzmeyer, Lisa-Marie Lüneburg, Luca Oppici, Philipp Flößel, Doris Lachmann, Jens Krzywinski, Susanne Narciss

JMIR Form Res 2025;9:e62903

Recovery of Patient-Reported Outcome Measures vs Gait Parameters Obtained by Instrumented Insoles After Tibial and Malleolar Fractures: Prospective Longitudinal Observational Study

Recovery of Patient-Reported Outcome Measures vs Gait Parameters Obtained by Instrumented Insoles After Tibial and Malleolar Fractures: Prospective Longitudinal Observational Study

Wearable devices such as instrumented insoles have been shown to provide excellent objective measures for monitoring rehabilitation progress after surgery and injury, whereas responses obtained from questionnaires reflect subjective patient perspectives [1-3]. It is currently unknown whether and how the trajectories of these separate measures differ throughout recovery. This information, however, is crucial for drawing correct conclusions from such data in clinical practice and research.

Elke Warmerdam, Marianne Huebner, Caroline Stoll, Andrey Ivanovic Lange, Bergita Ganse

JMIR Mhealth Uhealth 2025;13:e71022

Feasibility of Data Collection Via Consumer-Grade Wearable Devices in Adolescent Student Athletes: Prospective Longitudinal Cohort Study

Feasibility of Data Collection Via Consumer-Grade Wearable Devices in Adolescent Student Athletes: Prospective Longitudinal Cohort Study

The Fitbit Sense (Fitbit Inc) is a wrist-worn wearable device designed for continuous monitoring of various physiological parameters, such as heart rate, resting heart rate, step counts, daily minutes of vigorous activity, and sleep patterns and architecture. This wearable device was chosen because of its long battery life (up to 6 d) and its durability, including waterproofing.

Danielle Ransom, Brant Tudor, Sarah Irani, Mohamed Rehman, Stacy Suskauer, P Patrick Mularoni, Luis Ahumada

JMIR Form Res 2025;9:e54630

Recommendations for Successful Development and Implementation of Digital Health Technology Tools

Recommendations for Successful Development and Implementation of Digital Health Technology Tools

In the form of mobile health (m Health) apps, wearable devices, telemedicine, molecular technologies, enhanced electronic health records, and associated advanced analytics, these tools are being used to optimize and streamline clinical workflows [1]. Entirely new forms of health care are envisioned that are not only more participatory and personalized but also seamlessly integrated into patients’ daily routines and environments.

Rebecca Ting Jiin Loo, Francesco Nasta, Mirco Macchi, Anaïs Baudot, Frada Burstein, Riley Bove, Maike Greve, Holger Fröhlich, Sara Khalid, Arne Küderle, Susan L Moore, Valerie Storms, John Torous, Enrico Glaab

J Med Internet Res 2025;27:e56747

Trade-Offs Between Simplifying Inertial Measurement Unit–Based Movement Recordings and the Attainability of Different Levels of Analyses: Systematic Assessment of Method Variations

Trade-Offs Between Simplifying Inertial Measurement Unit–Based Movement Recordings and the Attainability of Different Levels of Analyses: Systematic Assessment of Method Variations

For at-home measurements of naturalistic activity, we have recently developed a multisensor wearable suit for infants (MAIJU, motor ability assessment of infants with a jumpsuit [28-32]), using 4 IMU sensors that collect triaxial accelerometer and gyroscope signals at 52 Hz. The data analysis uses a validated, deep learning–based analytical pipeline to provide a human-equivalent level classification of postures (7 categories) and generic movements (9 categories) for each second of the recording [29].

Manu Airaksinen, Okko Räsänen, Sampsa Vanhatalo

JMIR Mhealth Uhealth 2025;13:e58078

Longitudinal Digital Phenotyping of Multiple Sclerosis Severity Using Passively Sensed Behaviors and Ecological Momentary Assessments: Real-World Evaluation

Longitudinal Digital Phenotyping of Multiple Sclerosis Severity Using Passively Sensed Behaviors and Ecological Momentary Assessments: Real-World Evaluation

Previous works using passively sensed smartphone and wearable data to predict MS outcomes explored the feasibility of passive data collection and the preliminary association between sensed behaviors and standard rater-assessed clinical outcomes [6-14]. However, little is known regarding the clinical applicability of continuous longitudinal digital phenotyping to predict the severity of clinically relevant patient-reported symptoms in people with MS.

Zongqi Xia, Prerna Chikersal, Shruthi Venkatesh, Elizabeth Walker, Anind K Dey, Mayank Goel

J Med Internet Res 2025;27:e70871

Collecting Real-Life Psychophysiological Data via Wearables to Better Understand Child Behavior in a Children’s Psychiatric Center: Mixed Methods Study on Feasibility and Implementation

Collecting Real-Life Psychophysiological Data via Wearables to Better Understand Child Behavior in a Children’s Psychiatric Center: Mixed Methods Study on Feasibility and Implementation

After wearing the wearable for 5 consecutive days, children received a diploma and a first insight in the data was shown to their parents. The data were recorded locally on the device. By connecting the wearable to the computer, the accompanying software extracts and synchronizes all recorded data to the Empatica server (as is default). After downloading all data as a zip file containing several .csv files, the data were only locally stored at the UMCU and deleted from the server.

Karin Hagoort, Kirsten Smeets, Saskia Koldijk, Floortje Scheepers, Fleur Velders

JMIR Form Res 2025;9:e65559