e.g. mhealth
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Skip search results from other journals and go to results- 24 JMIR Formative Research
- 24 JMIR mHealth and uHealth
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Two data collections with convenience cohorts were conducted to determine the feasibility of using the Garmin Fenix 6 smartwatch for monitoring the health of people wearing PPE. The goals of these efforts were to:
Determine if a smartwatch is an appropriate configuration for monitoring individuals wearing PPE, including longer-term wear to determine recovery.
JMIR Form Res 2025;9:e72324
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This protocol collects data passively through a smartphone (Beiwe app [14]) and smartwatch (Labfront application [15]). It collects data prospectively and actively through participant survey completion, EMAs, and participant data logging in the Huckleberry app [16]. The use of the Beiwe app addresses the nonfixed study duration for EMAs and smartphone data by allowing flexibility in study length.
JMIR Res Protoc 2025;14:e77175
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The smartwatch-based HBCR program was delivered through a smartphone app. At the time of discharge, participants in the intervention group were provided with a smartwatch pre-installed with the intervention application. Additionally, they were instructed to download the corresponding mobile app onto their personal smartphones via the designated app stores.
JMIR Mhealth Uhealth 2025;13:e70848
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Reasons for refusing participation included already owning a smartwatch, unwillingness to wear a smartwatch, disliking the smartwatch’s feeling or appearance, not perceiving the need for a smartwatch to measure physical activity, and considering the smartwatch as an additional burden alongside medical needs.
Of the 15 children included in phase 2, 7 (47%) were male, and 12 (80%) were diagnosed with a hematological malignancy (Table 1).
JMIR Pediatr Parent 2025;8:e75322
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Patients can be collectors and owners of large, diverse, long-term datasets through biosensors (wearable devices, including activity trackers), and “biosensor” (short form of biological sensor) data have been defined as physiological measures combined with biological components detected by an analytical device (eg, glucometer, pulse oximeter, and smartwatch) [21].
J Med Internet Res 2025;27:e57418
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This study seeks to examine the key factors that determine continuous smartwatch use and users’ comfort levels in sharing their health data collected from a smartwatch with health care practitioners and public health authorities. By identifying these factors, strategies may be developed to enhance user engagement and data sharing, ultimately improving the integration of smartwatch sensor data into health care practices and public health authorities.
J Med Internet Res 2025;27:e67414
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Participants then received the smartwatch Garmin Vivosmart 4 to be worn at home for 5 consecutive days, including at least 1 weekend day, on the wrist of the body side least affected by the disease [31]. Participants were instructed to wear the smartwatch at all times during the day and night and remove it only when involved in water activities (eg, bathing, showering, and swimming). Participants were also asked to perform daily activities as usual.
JMIR Mhealth Uhealth 2025;13:e64213
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Ciman and Wac [26] found that smartphone screen on and off patterns could estimate sleep duration, sleep onset, wake times, and even sleep deprivation patterns, with only a 7% margin of error compared to smartwatch data. In 2019, a study conducted in the Netherlands reported a strong correlation (R2=0.9) between smartphone touch data and traditional sleep measurement methods, enabling accurate predictions of sleep onset and wake times [28].
J Med Internet Res 2025;27:e60423
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