=Paper=
{{Paper
|id=Vol-2544/shortpaper9
|storemode=property
|title=A Context-Aware Machine-to-Machine-Enabled Pervasive Cardiac Telemetry for Personalizing Health Care Delivery
|pdfUrl=https://ceur-ws.org/Vol-2544/shortpaper9.pdf
|volume=Vol-2544
|authors=Aude-Elvis Odeloui,Thierry Edoh
|dblpUrl=https://dblp.org/rec/conf/irehi/OdelouiE18
}}
==A Context-Aware Machine-to-Machine-Enabled Pervasive Cardiac Telemetry for Personalizing Health Care Delivery==
<pdf width="1500px">https://ceur-ws.org/Vol-2544/shortpaper9.pdf</pdf>
<pre>
               A Context-Aware Machine-to-Machine-Enabled
             Pervasive Cardiac Telemetry for Personalizing Health
                                Care Delivery

                                        Aude-Elvis Odeloui, Thierry Edoh

                              aeodeloui@gouv.bj, oscar.edoh@gmail.com



                  Abstract. Personalized health care is incoming and shows promise to improve
                  health care delivery. Internet of Things (IoT) enabled personalized care enables
                  patient-centric care delivery where medical doctors provide care based on data
                  emanated from the patient and on the patient medical/health record. Cardiovas-
                  cular diseases, known as non-communicable diseases, are a leading death cause
                  worldwide. Developing countries are bearing the heaviest heart diseases burden.
                  Additionally, these countries are facing numerous challenges such as poor ac-
                  cess to health care services delivery, lack of adequate medicine, lack of health
                  insurance that aggravate the poor care accessibility issues. Several outpatients
                  living in rural are severely facing accessibility issues due to their remote resi-
                  dences. They are living very far from specialized hospitals or clinics.
                  This work aims at presenting a novel cardiac telemetry approach combining the
                  paradigm of context-awareness and the IoT Technology to provide personalized
                  care to remote outpatient and, thus, to improve on one hand the patient monitor-
                  ing and on other increase access to health care services as well as provide per-
                  sonalized care, which shows promise to improve the quality of the care.
                  Regarding the telecommunication issues facing most developing, especially the
                  rural regions, store and forward approach is adopted for data exchanges and
                  machine-to-machine (M2M) communication is selected to support communica-
                  tion in the entire system since M2M communication is technology independent,
                  interoperable, and enables remote communication.


                  Keywords: Patient telemonitoring, Machine-to-Machine, Patient-centric Care,
                  Patient-Centered, Care, Internet of Health Things, Device-to-Device, Data Ana-
                  lytics, Telemetry, Telecardiology, Mobile cardiovascular



Copyright © 2019 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)
IREHI 2018 : 2nd IEEE International Rural and Elderly Health Informatics Conference

</pre>