Abstract
The development and the design of telemedicine services have taken a great consideration and care in the domain of wireless communication nowadays. The set of these researches is concerned with old people and lack of infrastructures of reception for those who are at risk or tend to have deterioration in their health condition. Thus, several works of research contributed to develop telemedicine services. They notably focus on the conception and the development of communication architectures between the actors of these systems, monitoring and the development of human’s quality is based on the storage of the collected data at home and analytical tools, and processing of these large quantities of data. Therefore, it is useful to detect and prevent the occurrence of critical situations of a remote person, the transmission of the messages and alarms to concerned actors to be ready to intervene in a case of emergency. Many works and systems undertaken in this field carry out the complete analysis and synthesis of signals on large servers (great capacities, better resolutions…). Moreover, these systems would have required large means and a large infrastructure in their deployment (installation, configuration…), which generates the disadvantage of the excessive expenditure. In this paper, we suggest to introduce and implement this complete treatment for revealing critical situations and pathologies on a simple mobile phone by respecting theirs constraints. The principal objective is to permit a taking off for medical and social dependant people as aged ones, handicapped, in order to the adaptation with their environment domestically and make up their incapacities. In this case, it is indispensable to make a diagnostic in a real time and well manage the patient’s computerized data between the various medical actors with the permanent security insurance of highly risky patients. Furthermore, the need to make a speed diagnostic of patients and to detect their health state, their parameters (medical information) of analyses with efficacy, allows us to gain time while monitoring the cardiac patient. It concerns the implementation of services on mobile terminals for transferring medical information and results of ECG analysis (calculated parameters) in a real time with ensuring the mobility, the permanent security and the reliability insurance in covered zone by the mobile network, PLMN (GSM/GPRS…). Our attention has been focused on the choice of a relevant work. It concerns an application on a mobile terminal (MIDlet) for detecting some cardiac pathologies and monitoring patient in a non-hospital setting. This paper recalls a complete architecture of an economic wireless transmission system with the implementation of an effective algorithm, adapted to the mobile terminal, allowing to the doctor to have the results of the ECG analysis. Thus, the stakes of setting up such systems are numerous, so much for patients, medical staff and the society in general.
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Acknowledgments
I deeply thank my supervisor and the person in charge of the laboratory STIC, Mohamed FEHAM, Professor at the university Abou Bekr Belkaid of Tlemcen, Algeria. The correctness of his advice, the motivation and the project financing, were very precious and brought a successful conclusion to this work. A special thank to the researchers of the laboratory who helped in this project.
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Merzougui, R., Feham, M. & Sedjelmaci, H. Design and Implementation of an Algorithm for Cardiac Pathologies Detection on Mobile Phone. Int J Wireless Inf Networks 18, 11–23 (2011). https://doi.org/10.1007/s10776-011-0129-1
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DOI: https://doi.org/10.1007/s10776-011-0129-1