Realizing smart elderly care through exercise and biosensing: Innovative methods for health monitoring and promotion
Abstract
The incorporation of smart technology in elderly care is improving the way health is managed and promoted for the elderly populations. This paper examines a new elderly care model that employs biosensing and exercise-based solutions for effective care and monitoring of the elderly. An effective system is proposed to integrate various biosensors that can track vital signs like pulse rate, blood oxygen level, muscle activity, and balance, thus providing constant updates on the user’s well-being. To accomplish this, information is collected by advanced data analytics and machine learning algorithms to identify signs of potential adverse health changes and further, prescribe suitable exercise regimes that will enhance mobility, balance, and cardiovascular strength for patients. Furthermore, a cloud-supported biosensing data feed into the predictive models to aid health care providers in decision-making in anticipatory manage. This type of approach is then compared in clinical trials to determine positive changes in physical mobility, ability to prevent falling, and quality of life. This accounts for the strong evidence supporting the use of a biosensing-driven skeleton to improve the physical and medical health of elderly citizens with notably less intervention from professional medical care.
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