DSTN Scholars

DSTN > Scholars > Kpadjouda Ginette Emma Abiola
Title: Remote monitoring systems for patients with cardiovascular disorders in low-income African countries using body sensors.
DSTN > Scholars > Kpadjouda Ginette Emma Abiola

Issue :
Knowing what we are capable of producing, understanding their economic, nutritional and sensory benefits is of the utmost importance. All this is supported by the theory that nutritional and sensory needs This study aims to facilitate the matching of connected medical devices used for cardiovascular clinical constants data collection with the socio-economic and technological context of individuals.

Indeed, a connected device using a 3G or higher network would not be useful in some rural or even urban areas. Thinking about more energy-efficient devices and network communication protocols that take this context into account is essential to improve patient care at home. Thus, our scientific objective is: the study and design of systems based on wearable medical devices, adapted to areas with poor network coverage (e.g. GSM) and potentially lacking a power grid capable of regularly supplying the devices with energy.

Expected result / Main objective : 

  • Creation of a publicly accessible dataset on cardiovascular disease and the sub-Saharan population strains affected.
  • Design of portable sensor prototypes and network communication protocols for underserved areas. 
  • Implementation of a remote monitoring system for cardiovascular patients using wearable sensor devices and IoT.
Supervisor Dr. (MC) Jules DEGILA, CEA SMIA Co-supervisor Co-supervisor: Dr. Mouhamadou Lamine BA, CEA MITIC Other contributors to PhD supervision Partners of the Université Gaston Berger de Saint Louis.
Contribution / added value to the affiliated project : The results of the proposed project for society and for Africa in particular could be stated as follows: 
  • Effectiveness and efficiency of programs, policies and funding by enhancing the quality of decisions made by competent authorities through the sharing of datasets that can be used to feed artificial intelligence (AI) systems to combat cardiovascular disease. 
  • Reduced risk of cardiovascular disease. 
  • Reduction in the number of deaths from cardiovascular disease. 
  • Improving the lack of healthcare infrastructure and human resources in underserved areas of Africa. 
  • Design and proposal of medical tools accessible to low-income African citizens.
This project will lead to the following results, which may be useful to people working in the industry: Portable monitoring devices for physiological parameters of patients with cardiovascular diseases for large-scale production.