An IoT-Based E-Health Monitoring System Using ECG Signal

Maryem Neyja, Shahid Mumtaz, Kazi Mohammed Saidul Huq, Sherif Busari, Jonathan Rodriguez, Zhenyu Zhou

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


In this paper, we present an Internet of Things (IoT)-based health care system implementation scheme using Hidden Markov Model (HMM) chain and ElectroCardioGram (ECG) sensors within the context of e-Health. The scheme aims to facilitate improved monitoring and timely intervention for Cardio Vascular Diseases (CVD) patients thereby enhancing medical services for such patients. As real-time monitoring of patients from different locations remains a critical challenge for IoT-based health care systems, this implementation employs patient path estimator, patient table and alert management schemes within the hospital to facilitate the localisation and timely intervention for the treatment of CVD patients.
Original languageEnglish
Title of host publicationGLOBECOM 2017 - 2017 IEEE Global Communications Conference
Place of PublicationSingapore, Singapore
PublisherInstitute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)978-1-5090-5019-2
ISBN (Print)978-1-5090-5020-8
Publication statusPublished - 4 Dec 2017


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