Wearable Devices for Fall Prevention: Advances, Clinical Applications, Challenges, and Future Perspectives  A Narrative Review

Siva Bali Reddy Katasani; S Purna Chandra Shekhar; Anjani Kumar; Rajeswari Thatikonda

doi:10.36948/ijfmr.2024.v06i05.84853

Wearable Devices for Fall Prevention: Advances, Clinical Applications, Challenges, and Future Perspectives A Narrative Review

Author(s)	Dr. Siva Bali Reddy Katasani, Dr. S Purna Chandra Shekhar, Dr. Anjani Kumar, Dr. Rajeswari Thatikonda
Country	India
Abstract	Falls represent one of the leading causes of injury, disability, hospitalization, and mortality among older adults worldwide. As the global population continues to age, effective strategies for fall prevention have become a major public health priority. Conventional fall prevention programs, including balance training, muscle strengthening, environmental modifications, and education, have demonstrated effectiveness; however, they often rely on periodic clinical assessments that may not accurately capture an individual's day-to-day mobility and fall risk. Recent advances in wearable technology have introduced innovative opportunities for continuous monitoring, early risk detection, and timely intervention, thereby transforming fall prevention strategies. Wearable devices equipped with inertial measurement units, accelerometers, gyroscopes, pressure sensors, electromyography sensors, heart rate monitors, and smart textiles enable continuous assessment of gait, balance, posture, mobility, and physiological parameters. Integration of artificial intelligence, machine learning, cloud computing, and Internet of Things (IoT) technologies has further enhanced the accuracy of fall detection and prediction systems. These technologies facilitate real-time monitoring, personalized rehabilitation, remote healthcare delivery, and early identification of mobility impairments before falls occur. This narrative review summarizes recent developments in wearable technologies for fall prevention, including sensor technologies, machine learning algorithms, wearable system architectures, clinical applications, advantages, limitations, implementation challenges, and future research directions. The review also discusses the role of wearable devices in rehabilitation, home-based monitoring, neurological disorders, orthopedic conditions, and community-dwelling older adults. Although several challenges remain regarding battery life, user adherence, data privacy, clinical validation, and affordability, wearable technologies demonstrate substantial potential to improve patient safety, reduce healthcare costs, and promote independent living. Future integration with digital health platforms and precision medicine approaches is expected to further optimize individualized fall prevention strategies and support evidence-based rehabilitation.
Keywords	Wearable devices; Fall prevention; Fall detection; Elderly; Artificial intelligence; Sensors; Rehabilitation; Physiotherapy; Internet of Things; Digital health.
Field	Medical / Pharmacy
Published In	Volume 6, Issue 5, September-October 2024
Published On	2024-10-04
DOI	https://doi.org/10.36948/ijfmr.2024.v06i05.84853

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Wearable Devices for Fall Prevention: Advances, Clinical Applications, Challenges, and Future Perspectives A Narrative Review

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