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Updated: Jan 16, 2026

Assessing the Accuracy of Fitness Smartwatch Data for Cardiovascular and Physical Activity Monitoring: A Validation Study in Digital Health
Published on: February 21, 2025
The Contribution of Wearable Devices and Artificial Intelligence to Promoting Healthy Aging
Natarajan Sisubalan1, Natarajan Vijay2, Periyanaina Kesika3,4
1PG and Research Department of Botany, Pachaiyappa's College, Affiliated to University of Madras, Chennai 600030, India.
Introduction:
Healthy aging involves consistently maximizing opportunities to maintain and enhance physical and mental well-being, fostering independence, and sustaining a high quality of life. This review examines recent technological innovations aimed at promoting the well-being of older adults. The scope encompasses wearable devices and telemedicine, showcasing their potential to enhance the health and overall well-being of older individuals. The review highlights the crucial role of assistive technologies, including mobility aids, hearing aids, and adaptive home devices, in addressing the specific challenges associated with aging.
Methods:
The relevant literature was collected and selected based on the objective of the study and reviewed.
Results:
Digital technologies, including brain-computer interfaces (BCIs), are explored as potential solutions to enhance communication between healthcare providers and aging patients, considering engagement levels and active interaction. Sophisticated BCIs, such as electroencephalograms, electrocorticography, and signal modeling for real-time identification, play a crucial role in event detection, with machine learning algorithms enhancing signal processing for accurate decoding. The exploration of smart wearable systems for health monitoring emerges as a dynamic and promising field in the context of aging.
Discussion:
Fitbit® showcases accurate step counting, making it suitable for monitoring physical activity in older adults engaged in slow walking. ActiGraph™ is evaluated for accuracy in monitoring physical activity in older adults, with results indicating reliable concurrence with Fitbit® devices. The study identifies several limitations, including sample size constraints, challenges in keeping pace with technological advancements, and the need for further investigation into the suitability of fitness trackers for individuals with significant mobility impairments.
Conclusion:
The evolving landscape of wearable technologies, exemplified by Fitbit®, Acti- Graph™, and other interventions, holds substantial promise for reshaping healthcare approaches for the aging population. Addressing the limitations will be crucial as research progresses to ensure the effective and ethical integration of wearables into geriatric care, maximizing their potential benefits.
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