Prototyping of Mobile Health Monitoring System for elderly : Using Android Python with SL4A And Logistic Regression Technique Abstract— In this paper we 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 . Keywords; Mobile Health Monitoring, Smartphone, Android, sensors, Python ,SL4A. I. MOTIVATION & INTRODUCTION According to the Algerian National Office Of Statistics [1][2], 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. In general, the greater part of elderly suffer from various chronic diseases, based on World Health Statistics (WHO) and other sources, chronicle diseases and psychological pressures are behind the death of 80 percent of elderly people in Algeria [3]. Recent technological advances in wireless communications, sensor miniaturization and Smartphone processing power, offer great potential in the development of wearable systems for mobility monitoring[5]. An important area of the mobile healthcare service is the mobile monitoring of the patient’s vital signs outside the clinical environment. Mobile healthcare can monitor common vital signs such as blood pressure, electrocardiogram (ECG), pulse rate, blood oxygenation (SpO2), breathing rate, body temperature, body activity and weight, and other measures; this could also be useful in management of chronic disorders and to provide feedback about someone’s health in the form of behavioral feedback in order to prevent diseases[6] [8]. In this paper, we describe a new Mobile Health Monitoring system architecture for elderly patients, it uses a wireless body area networks (WBAN) to collect and send data to the intelligent server through GPRS/UMTS[4]. The rest of the paper is organized as follows: Section 2 provides the short descriptions of the related works; in Section 3 we describe the overall architecture of the system and the functions of major components. In section 4, the implementation of the prototype is presented. Section 5 summarizes and concludes the paper. II. RELATED WORKS The first projects that introduced the mobile health monitoring is presented in [9], MobiHealth project is a health service platform based on a mobile phone as a base station for the wireless sensors worn on the body. It forwards their measurements wirelessly using UMTS or GPRS to a service centre, it provides three services: collecting and storage of the received data, forwarding of data to a doctor or medical centre, and analysis of the data received and the sending of feedbacks to a predefined destination using SMS. Choi et al. [10] proposed a system for ubiquitous health monitoring in the Bedroom via a Bluetooth Network and Wireless LAN, the system uses Bluetooth and wireless LAN technologies, information gathered from sensors connected to the patient's bed is transmitted to a monitoring station outside of the room where the data is processed and analyzed. Using the technologies of wireless body area networks (WBAN), Jovanov et al. [7] presented a Wearable health systems using WBAN for patient monitoring. The first level consists of physiological sensors, second level is the personal server, and the third level is the health care servers and related services. Another example is the WiMoCA from Farella et al. [11] that is a custom-made WBSN where the sensing node consists of a triaxial integrated MEMS (micro-electro-mechanical system) accelerometer. The WiMoCa system's ability has to handle diverse application requirements such as posture detection system, bio-feedback application, and gait analysis. Morón et al. [12] presented a mobile monitoring system, which can provide medical feedback to the patients through mobile devices based on the biomedical and environmental data collected by deployed sensors, sensors compiles information about patient’s location and health status. These data are encrypted to be sent to a server through the mobile communications networks, the system provides access to patient’s data, even from a smart phone by a J2ME application. Dai et al. [13] designed a wireless physiological multi- parameter monitoring system based on mobile communication networks; this system monitors vital signs such as ECG, SP02, body temperature and respiration. Data is transmitted via mobile communications networks to a mobile monitoring station and then to the hospitals central management system Abderrahim BOUROUIS STIC laboratory, Abou-bekr BELKAID University Tlemcen,Algeria a_bourouis@mail.univ-tlemcen.dz Mohamed FEHAM STIC laboratory Abou-bekr BELKAID University Tlemcen,Algeria m_feham@mail.univ-tlemcen.dz Abdelhamid BOUCHACHIA Software Engineering University of Klagenfurt, Austria hamid@isys.uni-klu.ac.at Abderrahim Bourouis et al , Int. J. EnCoTe, 2012, v0102, 25 - 28 ISSN : 2277 - 9337 IJECST | March - April 2012 Available online@www.ijecst.com 25