Circular is a relatively small player in the smart ring segment, which is currently led by the likes of Oura, Samsung, and RingConn. Yet, following a not-so-good start,. The Circular Ring 2, which recently...

Explore a revolutionary system tracks subtle health changes, providing vital signs monitoring in real-time for multiple individuals.

Alex Castro / The Verge Fitness trackers have come a long way from the simple bands that tracked steps and little else. Modern trackers can monitor everything from your heart health to how well you…

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<p>With multiple health sensors and 20% larger screen, Apple Watch Series 7 can easily be a 24/7 companion that can help you in nearly all aspects of your daily life.</p>

Background: The risk of developing heat-related illness (HRI) increases when personal protective equipment (PPE) is worn, especially in hot and humid environments. While cooling strategies are effective, they must be applied preemptively or delivered promptly, which can be difficult if individuals are working in dangerous environments or wearing contaminated PPE. Wearable sensors can be leveraged to continuously monitor health including heart rate, respiration rate, blood oxygen levels, and physical activity. Metrics can be acquired, and alerts can be generated to inform individuals, colleagues, and/or supervisors of deteriorating health status. Objective: Evaluate the use of wearable sensors for monitoring the real-time health of individuals wearing PPE to mitigate risk of developing an HRI and enable timely intervention. Methods: Individuals participating in planned field trainings/exercises were asked to wear Garmin Fenix 6 smartwatches before, during, and after the event to monitor health and recovery. These individuals wore PPE during the training/exercise. Results: Two pilot studies were conducted using the Garmin Fenix 6 smartwatch to assess wearability, data quality, and data accuracy. Conclusions: The Garmin Fenix 6 smartwatch is an appropriate choice for continuously monitoring the health of individuals wearing PPE. The watch is well tolerated for extended wear periods and does not interfere with PPE. Data quality and accuracy is sufficient for monitoring heart rate and predicting core body temperature. Clinical Trial: The work described in this paper is not part of an ongoing clinical trial. The University of North Carolina Institutional Review Board approved this protocol [22-0817].

Background: Social frailty poses a potential risk even for relatively healthy older adults, necessitating development of early detection and prevention strategies. Recently, consumer-grade wearable devices have attracted attention due to their ability to continuously collect physiological and activity-related data. These data can potentially be used to calculate digital biomarkers for screening social frailty in older adults. Objective: The objective of this study was to explore digital biomarkers associated with social frailty using sensor data recorded via Fitbit devices and evaluate their relationship with health outcomes in older adults. Methods: This cross-sectional study was conducted in 102 community-dwelling older adults. Participants attending frailty prevention programs wore devices from the Fitbit Inspire series on their nondominant wrist for at least 7 consecutive days, during which step count and heart rate data were collected. Standardized questionnaires were used to assess physical functions, cognitive functions, and social frailty, and based on the scores, the participants were categorized into 3 groups: robust, social prefrailty, and social frailty. The sensor data were analyzed to calculate nonparametric and extended cosinor rhythm metrics, along with heart rate–related metrics. Results: The final sample included 86 participants who were categorized as robust (n=28, 33%), social prefrailty (n=39, 45%), and social frailty (n=19, 22%). The mean age of the participants was 77.14 (SD 5.70) years, and 91% (78/86) were women. Multinomial logistic regression analysis revealed that a step-based rhythm metric (intradaily coefficient of variation) was significantly associated with social frailty (odds ratio 1.05, 95% CI 1.01-1.11; P=.01). The heart rate metrics, including the delta resting heart rate and time of transition from rest to activity, showed significant associations with both social prefrailty (odds ratio 0.82, 95% CI 0.68-0.99; P=.04) and social frailty (odds ratio 0.69, 95% CI 0.50-0.95; P=.01). Specifically, delta resting heart rate, defined as the difference between the overall average heart rate and resting heart rate, exhibited significant negative associations with social prefrailty (odds ratio 0.82, 95% CI 0.68-0.97; P=.02) and social frailty (odds ratio 0.74, 95% CI 0.58-0.94; P=.02). Furthermore, analysis using a linear regression model revealed a significant association between the intradaily coefficient of variation and the word list memory score, a measure of cognitive decline (β=−0.04; P=.02). Conclusions: This study identified associations between novel rhythm and heart rate metrics calculated from the step count and heart rate recorded by Fitbit devices and social frailty. These findings suggest that consumer-grade wearable devices, which are low cost and accessible, hold promise as tools for evaluating social frailty and its risk factors through enabling the calculation of digital biomarkers. Future research should include larger sample sizes and focus on the clinical applications of these findings.

The use of smartphone cameras to extract vital signs and blood glucose data through transdermal optical imaging is an innovative approach that holds immense promise for the future of healthcare.

Background: Background: Hospitalized frail older adults have an increased risk of developing hospital acquired disability associated with hospital practices of restricted physical activity and immobilization. The use of activity tracking wearable devices may allow to identify and prevent mobility decline reducing hospital acquired disability. Objective: Objectives: To identify the optimal wearable device and wear location for monitoring mobility in older hospitalized patients. Specific objectives included: 1) compare the feasibility and acceptability of ActiGraph wGT3X-BT, MOX1, MetaMotionC, and Fitbit Versa for continuous mobility monitoring, and 2) determine the concurrent validity of the selected device for detecting body posture and step count. Methods: Methods: Participants were recruited for this observational study in the acute medical care unit of an academic hospital in Hamilton, Ontario, Canada. Eligible patients were aged 60 years and older, able to undertake the mobility protocol, and had an anticipated length of stay greater than 4 days. The study was divided into two experiments. Experiment 1evaluated the feasibility of four wearable devices and validated the derived data for body posture and step count. Experiment 2 involved a mobility assessment session and a 24-hour monitoring period with the selected device from Experiment 1. Results: The ActiGraph wGT3X-BT emerged as the most feasible device, demonstrating superior usability, data acquisition, and management. The thigh-worn ActiGraph accurately detected sedentary behavior, while the ankle-worn device provided detailed information on step counts and body postures. Bland-Altman plots and Intraclass Correlation Coefficients (ICCs) indicated that the ankle-worn ActiGraph showed excellent reliability for step counting, with minimal bias and narrow limits of agreement. Patients expressed a high willingness to wear a continuous mobility tracking device at the hospital and at home. Conclusions: Thigh and ankle-worn ActiGraph are optimal for assessing and monitoring mobility in older hospitalized patients. These findings support the integration of wearable technology in hospital settings to enhance mobility monitoring and early intervention strategies. Further research is warranted to evaluate the long-term use of wearable data for predicting health outcomes post-hospitalization and informing clinical decision-making to promote early mobility.

Fitbit highlighted its latest update for the Charge 6, which brings bug fixes for a few more devices.

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County officials plan to enhance inmate health monitoring by integrating the Overwatch system.