e.g. mhealth
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Skip search results from other journals and go to results- 15 JMIR mHealth and uHealth
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The recent development of digital and wearable technologies has made it possible to continuously track PA in real life through sensors embedded in digital devices. This expansion provides researchers with a broader range of choices, as both research-grade and consumer-grade wearables, with varying costs and capacities to measure health conditions, are now available in the market.
J Med Internet Res 2025;27:e59878
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Toward Unsupervised Capacity Assessments for Gait in Neurorehabilitation: Validation Study
Moreover, combining the 10-MWT with wearable sensors, such as inertial measurement units, allows for the extraction of additional spatiotemporal gait parameters. These parameters are not only robust, but they enhance the interpretation of clinical assessment outcomes and aid in detecting motor recovery poststroke as well as predicting prognosis after stroke [24-26].
J Med Internet Res 2025;27:e66123
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This study focuses on the proximal effects of the JITAI on targeted outcomes collected via EMA among adherent participants, previously defined as those who wore the sensors for more than 70% of the time during the 2-week period and completed a majority of the strategies [16]. Our rationale for examining adherent participants is 2-fold.
JMIR Mhealth Uhealth 2025;13:e55379
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To accomplish this, TATRC will (1) identify which commercial off-the-shelf (COTS) sensors are most suitable to collect TCCC data elements required to populate the DD Form 1380; (2) conduct human subjects research using participants who perform TCCC skills in controlled, simulated environments; and (3) annotate all sensor suite data collected to build a TCCC dataset for current and future ML and AI algorithms to leverage.
JMIR Res Protoc 2025;14:e67673
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As such, this study makes use of integrated, environmentally deployed sensors to enrich this dataset in a nonintrusive manner. This setup allows for the formation of a technology, which can deliver circadian-aligned lighting and simultaneously monitor any resultant changes to well-being. Additionally, validated questionnaires are used to collect information on certain behavioral symptoms, which the sensors cannot themselves generate.
JMIR Mhealth Uhealth 2024;12:e56951
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Sensor-based digital health technologies (s DHTs), defined as connected digital medicine products that process data captured by mobile sensors using algorithms to generate measures of behavioral and/or physiological function [1], have been increasingly adopted in both research and health care in recent years [2,3]. s DHTs include products designed to capture data passively (such as continuous glucose monitors and wearables for monitoring sleep) or during active tasks (such as mobile spirometry or smartphone-based
J Med Internet Res 2024;26:e57628
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To do so, a randomized pilot study was designed to assess whether the information provided by the remote sensors helps early detection of functional changes, thereby promoting an adjusted multimodal intervention in prefrail and frail older adults compared to usual care during a 6-month period.
This is a multicenter, randomized, simple blind intervention study, with a duration of 11 months (5 months for recruitment and 6 for intervention).
J Med Internet Res 2024;26:e58312
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Bed-exit detection systems can be categorized as ambient, wearable types and various forms of mattress or pad systems, wearable devices, and video systems using infrared sensors or cameras. Although wearable devices are usually portable and easy to use, they are usually designed to detect a fall event instead of predicting it and sending an alert before the fall happens, which limits their application in fall prevention and makes them less effective in preventing falls [40-42].
J Med Internet Res 2024;26:e58380
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Within the waterproof housing, there are 3 main components: the main printed circuit board (PCB) with a wireless Bluetooth module, motion sensors (accelerator, gyroscope, and compass), and memory storage (Figure 1 A). A second PCB has a heart rate sensor using photoplethysmography. The wearable device has a rechargeable battery and is designed to allow wireless pairing with the Android smartphone app. Thereafter, the wearable device operates 100% autonomously 24/7 for up to 3 to 4 days.
JMIR Form Res 2024;8:e58110
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Wearable devices, equipped with motion-detecting sensors such as accelerometers, have the capability to capture movement data. These components can be leveraged to assist in assessing and improving an individual’s movement quality during specific activities [14]. As the capabilities of wearable technology continue to improve, it is important to identify how such devices can best be implemented in the general, nonelite, population.
JMIR Form Res 2024;8:e56784
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