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Skip search results from other journals and go to results- 22 JMIR mHealth and uHealth
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Using Wear Time for the Analysis of Consumer-Grade Wearables’ Data: Case Study Using Fitbit Data
This intervention leveraged the combination of Fitbit and survey data collected using an app (TBI-Care QOL). It is important to note that participants were reminded to sync their Fitbit data every Monday and Friday if they had not already done so.
The details of this study protocol can be found in Cislo et al [19].
JMIR Mhealth Uhealth 2025;13:e46149
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No data were collected regarding the usability of the Fitbit: Health & Wellness app, as the app was primarily used to continuously synchronize Fitbit data with the My Data Helps app. Clinician semistructured interviews were conducted following the data collection period for the intervention (June-July 2023).
JMIR Cancer 2025;11:e60034
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The 2023 survey results showed that Apple (210/475, 44%) was the most popular WAT brand, followed by Fitbit (101/475, 21%), Garmin (92/475, 19%), Samsung (47/475, 10%), and other brands (22/475, 5%).
J Med Internet Res 2025;27:e56251
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Consumer-based wearable devices such as Fitbit (Google) have become popular for objectively measuring physical activity and sleep due to the advancements in microtechnology, wireless communication, battery capacity, and multidimension measurements. In addition, Fitbit devices use Bluetooth for easy data transfer to Fitbit servers through a smartphone or tablet, allowing for synchronization of real-time data.
JMIR Pediatr Parent 2025;8:e59159
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As this type of device is meant to be used in non–laboratory-controlled conditions or free-living conditions, this study aimed to evaluate the accuracy and validity of the PPG HR data from the Fitbit Charge 4 (FC4; Fitbit LLC) across multiple physical activity types. Therefore, the objectives of this study were to (1) assess the accuracy and reliability of FC4 HR measurement in ecological conditions and (2) quantify the potential impact of activity type on accuracy.
JMIR Mhealth Uhealth 2025;13:e54871
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Participants were provided with Fitbit Charge 2 devices and asked to wear them as much as possible. Fitbit collected physiological data (eg, HR), activity data (eg, step count), and sleep. The study hypothesized that HR and behavioral data could signal episodes of acute marijuana intoxication. Fitbit data were retrieved from the Fitbit server at the end of the study using the Fitbit application programming interface.
JMIR AI 2025;4:e52270
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Fitbit (Google Inc) consumer activity trackers are a valid and reliable method of measuring physical activity (steps, distance walked, energy expenditure, physical activity intensity, and sedentary behavior). When compared with laboratory-based tests of physical activity, Fitbit activity trackers have been shown to have large significant correlation coefficients of between 96.5 and 99.1 [10].
JMIR Diabetes 2024;9:e60066
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The continuous monitoring of the heart rate was assessed with the Fitbit Charge HR (Fitbit Inc). The Fitbit Charge HR is a “wearable” commonly known as a fitness tracker. Every single minute of the HR data is stored as a separate measurement. The Fitbit Charge HR also measures the number of steps taken, stairs walked, calories burned, and minutes slept. It was advised to only wear the Fitbit at night if patients were comfortable wearing the device during sleep.
JMIR Cardio 2024;8:e56848
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With advances in sensors, the Internet of Things, sensing technology, and artificial intelligence, wearables like wristbands (eg, Fitbit), smartwatches (Apple and Samsung smartwatches), smart rings (Oura rings), and smart belts (Polar belt) are capable of tracking physiological signals like heart rate (HR), HR variability (HRV), electrodermal activity, body temperature, and body movements (via accelerometers) constantly, and based on which, computing and reporting human status in real-time.
JMIR Form Res 2024;8:e60759
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The Fitbit Charge 4 (Fitbit Inc) is a triaxial consumer-based wearable worn on the nondominant wrist of the participant. This device records daily step count (accelerometry), as well as RHR, HRV, RR, and Sp O2 (photoplethysmography). These variables were extracted as day-by-day outcomes from the Fitbit platform, as calculated by the proprietary algorithms. Fitbit defines RHR as the heart rate while in a relaxed state during both sleep and being awake.
JMIR Mhealth Uhealth 2024;12:e56027
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