Intelligent m-Health App to Evaluate the Elderly Physical Condition


The age of the population in the developed countries is increasing as well as the life expectancy for this population. This suppose a challenge for the health care system that requires of new tools to be able to face the increasing expenses that this ageing in the population suppose. With this regard, it has been demonstrated that promoting physical activity in the elderly, could prevent functional decline, frailty, falls, and fractures and reduce the risk of premature mortality. However, in order to obtain the maximum benefits of this physical activity, the activity prescription and health coaching support requires to be tailored to the functional and personal characteristics of each individual [23]. Therefore, it is of vital relevance to have tools to asses the elderly physical condition in an easy way using low cost and simple tools. In this contribution we present a preliminary version of a mobile health application, m-health app, specially aimed for the elderly population. The proposed approach offers to the health practitioners a reliable, real-time, affordable and easy to use tool to evaluate senior patients physical condition. This m-Health System could be a promising approach not only for physical assessment but as well as a tool in intervention programs to asses the patient evolution.




Urena, R. et al. (2018) Intelligent m-Health App to Evaluate the Elderly Physical Condition. In: Hamido Fujita, Enrique Herrera-Viedma (Eds.) New Trends in Intelligent Software Methodologies, Tools and Techniques. Frontiers in Artificial Intelligence and Applications, 303, pp. 87-110


Research Institute

Institute of Artificial Intelligence (IAI)