An Energy Efficient Wearable Smart IoT System to Predict Cardiac Arrest

Recently, many people have become more concerned about having a sudden cardiac arrest. With the increase in popularity of smart wearable devices, an opportunity to provide an Internet of Things (IoT) solution has become more available. Unfortunately, out of hospital survival rates are low for people...

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Bibliographic Details
Published in:	Advances in human-computer interaction Vol. 2019; no. 2019; pp. 1 - 21
Main Authors:	Ucci, Donald R., Young, Roger, ElSaadany, Yosuf Amr, Majumder, AKM Jahangir Alam
Format:	Journal Article
Language:	English
Published:	Cairo, Egypt Hindawi Publishing Corporation 01.01.2019 Hindawi John Wiley & Sons, Inc Wiley
Subjects:	Analytics Architectural engineering Big Data Body temperature Cardiac arrest Cardiovascular disease Cloud computing Communication Communications systems Data processing Energy efficiency Energy management Engineering Fourier transforms Health care policy Heart Heart rate International conferences Internet of Things Learning algorithms Machine learning Patients Power management Quality of life R&D Research & development Sensors Signal processing Smartphones Wearable computers Wearable technology Wireless networks
ISSN:	1687-5893, 1687-5907
Online Access:	Get full text
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