Prototyping of Mobile Health Monitoring System for Elderly: Using Android Python With SL4A And Logistic Regression Technique
In this paper, the authors propose a prototype of pervasive mobile health system for monitoring elderly patients from indoor and outdoor environments. The system uses Sp02 and Heart Rate sensor worn by the patient and a Smartphone as a central node. The prototype is developed in Python using Scripting Layer For Android (SL4A) and regression technique in server side. According to the Algerian National Office Of Statistics, the percentage of the total population of persons over the age of 65 has increased and is expected to increase further, the number reached 2.7 million out of a population of 35.5 million Algerians and it will reach 20 percent in 2030.