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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Actigraphy, typically with a wrist monitor, can measure several metrics of sleep based on motion (ie, accelerometer) and most measure ambient light. Some studies ask participants to actively press a button on the watch as an event marker indicating when they are going to bed and when they wake up.
JMIR Form Res 2025;9:e67455
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(A) A participant wearing a waist bag containing a smartphone positioned at the L3 vertebra region for collecting accelerometer data and (B) the positioning of the Go Pro HERO8 camera mounted on a tripod to capture a 5-meter walking segment.
The study was conducted at Yuquan Hospital of Tsinghua University, a major medical center in Beijing, China, specializing in neurological disorders and geriatric care. Participants were not recruited through conventional research recruitment processes.
JMIR Form Res 2025;9:e58864
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The GENEActiv Original (Activ Insights) wristband was configured to collect accelerometer data at 20 Hz. Each participant received 2 wristbands on study day 1 and wore both for 14 days. Each participant received a new pair of wristbands around day 14 and shipped the first set back to study sites for data collection. Participants were instructed to wear 1 wristband on the nondominant wrist continuously and the other on the dominant wrist during sleep hours.
J Med Internet Res 2025;27:e72216
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The “raw accelerometer” and “accelerometer+gyroscope” configurations take in the raw inertial measurement unit (IMU) signals (gyroscope with bias removal), whereas the “pre-processed accelerometer” configuration preprocesses the raw accelerometer signal into low- and high-pass parts, after which they are treated as independent data streams.
Prior work with the MAIJU recordings has been published with the highest available configuration setup (4 sensors; accelerometer and gyroscope; 52 Hz sampling).
JMIR Mhealth Uhealth 2025;13:e58078
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After survey completion, participants were mailed an accelerometer and were asked to wear the accelerometer for 7 consecutive days, 24 hours per day, and then mail it back. Participants who returned the accelerometer were eligible to be randomized.
Participants were randomized by the study project manager into the intervention group or control (usual care) group using minimization, implemented using QMinim [34].
JMIR Ment Health 2025;12:e64507
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To quantify physical activity, the number of steps, measured using an accelerometer, is widely used and is a valid and reliable variable for assessing physical activity in clinical rehabilitation settings [4,5]. Numerous studies have established a close association between the number of steps taken and health-related quality of life [6], self-efficacy [7], and the risk of stroke recurrence [8].
JMIR Form Res 2025;9:e63064
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Compared with researcher-focused accelerometer devices, consumer wearables (which also contain triaxial accelerometers) could yield more widely scalable, and clinician and user-friendly, systems for developing and testing potential applications. Our prior pilot study demonstrated that it is possible to collect 24-hour accelerometer data from the Apple Watch and generate standard 24-hour sleep/wake rhythm measures [6]. However, this prior study was limited to a convenience sample of young adults.
JMIR Aging 2025;8:e67294
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With the use of an accelerometer worn on the wrist, real-time information about physical activity and circadian rhythmicity patterns can be collected in a person’s natural environment. Such data may allow detection of variation in activity that may be missed during clinical visits [6,7].
JMIR Mhealth Uhealth 2025;13:e57599
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The increasing popularity of wearable devices has led to a surge in the collection of various physiological signals, including accelerometer data from wristbands, smartwatches, and other sensors [2]. While these wearables offer valuable insights into our daily activities, inertial measurement units (IMUs) stand out for their unique ability to capture 3-dimensional motion data, including acceleration, angular velocity, and orientation.
JMIR Mhealth Uhealth 2025;13:e60521
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Prior research has explored monitoring nighttime movement and identifying sleep-related disorders or sleep stages via the use of unobtrusive sensor systems equipped with accelerometer or pressure sensors, connected to beds [15-18]. However, only a limited number of researchers have directed the focus of nighttime movement monitoring with accelerometer sensors connected to the bed toward the exploration of detecting nighttime movement to support NH continence care.
JMIR Nursing 2024;7:e58094
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