Smart Wearables in M-Health: Overcoming Barriers to Personalized Healthcare Solutions

The rapid growth of mobile health (M-Health) technology and smart wearables is revolutionizing personalized healthcare delivery. This paper explores the role of devices like fitness trackers, smartwatches, and biosensors in continuous health monitoring, early diagnosis, and tailored care. However, data privacy concerns, sensor data reliability, and device interoperability hinder widespread adoption. The paper comprehensively analyses wearable technology in M-Health, detailing its applications, benefits, and limitations in healthcare. It evaluates critical challenges, emerging solutions, and best practices in data management, security, and device compatibility. Empirical results demonstrate the effectiveness of wearables in healthcare, with performance metrics such as accuracy, precision, recall, F1-score, execution time, and memory usage analyzed to highlight their reliability and efficiency. Additionally, potential research directions are identified to enhance the usability, integration, and scalability of wearables in personalized healthcare. Addressing these challenges is key to enabling smart wearables to fully realize M-Health’s potential, offering accessible, personalized, and proactive healthcare solutions for diverse populations.