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

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

doi:10.1109/GLOCOM.2017.8255023

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 proceeding › Conference contribution › peer-review

Abstract

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 language	English
Title of host publication	GLOBECOM 2017 - 2017 IEEE Global Communications Conference
Place of Publication	Singapore, Singapore
Publisher	Institute of Electrical and Electronics Engineers
Pages	1-6
Number of pages	6
ISBN (Electronic)	978-1-5090-5019-2
ISBN (Print)	978-1-5090-5020-8
DOIs	https://doi.org/10.1109/GLOCOM.2017.8255023
Publication status	Published - 4 Dec 2017

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10.1109/GLOCOM.2017.8255023

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title = "An IoT-Based E-Health Monitoring System Using ECG Signal",

abstract = "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.",

author = "Maryem Neyja and Shahid Mumtaz and Huq, {Kazi Mohammed Saidul} and Sherif Busari and Jonathan Rodriguez and Zhenyu Zhou",

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An IoT-Based E-Health Monitoring System Using ECG Signal. / Neyja, Maryem ; Mumtaz, Shahid ; Huq, Kazi Mohammed Saidul et al.

GLOBECOM 2017 - 2017 IEEE Global Communications Conference. Singapore, Singapore : Institute of Electrical and Electronics Engineers, 2017. p. 1-6.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Mumtaz, Shahid

AU - Huq, Kazi Mohammed Saidul

AU - Busari, Sherif

AU - Rodriguez, Jonathan

AU - Zhou, Zhenyu

PY - 2017/12/4

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AB - 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.

U2 - 10.1109/GLOCOM.2017.8255023

DO - 10.1109/GLOCOM.2017.8255023

M3 - Conference contribution

SN - 978-1-5090-5020-8

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BT - GLOBECOM 2017 - 2017 IEEE Global Communications Conference

PB - Institute of Electrical and Electronics Engineers

CY - Singapore, Singapore

ER -

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

Abstract

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