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Mobile Cloud-Computing-Based Healthcare Service by Noncontact ECG Monitoring

Noncontact electrocardiogram (ECG) measurement technique has gained popularity these days owing to its noninvasive features and convenience in daily life use. This paper presents mobile cloud computing for a healthcare system where a noncontact ECG measurement method is employed to capture biomedica...

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Detalles Bibliográficos
Autores principales: Fong, Ee-May, Chung, Wan-Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3892841/
https://www.ncbi.nlm.nih.gov/pubmed/24316562
http://dx.doi.org/10.3390/s131216451
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author Fong, Ee-May
Chung, Wan-Young
author_facet Fong, Ee-May
Chung, Wan-Young
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collection PubMed
description Noncontact electrocardiogram (ECG) measurement technique has gained popularity these days owing to its noninvasive features and convenience in daily life use. This paper presents mobile cloud computing for a healthcare system where a noncontact ECG measurement method is employed to capture biomedical signals from users. Healthcare service is provided to continuously collect biomedical signals from multiple locations. To observe and analyze the ECG signals in real time, a mobile device is used as a mobile monitoring terminal. In addition, a personalized healthcare assistant is installed on the mobile device; several healthcare features such as health status summaries, medication QR code scanning, and reminders are integrated into the mobile application. Health data are being synchronized into the healthcare cloud computing service (Web server system and Web server dataset) to ensure a seamless healthcare monitoring system and anytime and anywhere coverage of network connection is available. Together with a Web page application, medical data are easily accessed by medical professionals or family members. Web page performance evaluation was conducted to ensure minimal Web server latency. The system demonstrates better availability of off-site and up-to-the-minute patient data, which can help detect health problems early and keep elderly patients out of the emergency room, thus providing a better and more comprehensive healthcare cloud computing service.
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spelling pubmed-38928412014-01-16 Mobile Cloud-Computing-Based Healthcare Service by Noncontact ECG Monitoring Fong, Ee-May Chung, Wan-Young Sensors (Basel) Article Noncontact electrocardiogram (ECG) measurement technique has gained popularity these days owing to its noninvasive features and convenience in daily life use. This paper presents mobile cloud computing for a healthcare system where a noncontact ECG measurement method is employed to capture biomedical signals from users. Healthcare service is provided to continuously collect biomedical signals from multiple locations. To observe and analyze the ECG signals in real time, a mobile device is used as a mobile monitoring terminal. In addition, a personalized healthcare assistant is installed on the mobile device; several healthcare features such as health status summaries, medication QR code scanning, and reminders are integrated into the mobile application. Health data are being synchronized into the healthcare cloud computing service (Web server system and Web server dataset) to ensure a seamless healthcare monitoring system and anytime and anywhere coverage of network connection is available. Together with a Web page application, medical data are easily accessed by medical professionals or family members. Web page performance evaluation was conducted to ensure minimal Web server latency. The system demonstrates better availability of off-site and up-to-the-minute patient data, which can help detect health problems early and keep elderly patients out of the emergency room, thus providing a better and more comprehensive healthcare cloud computing service. Molecular Diversity Preservation International (MDPI) 2013-12-02 /pmc/articles/PMC3892841/ /pubmed/24316562 http://dx.doi.org/10.3390/s131216451 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Fong, Ee-May
Chung, Wan-Young
Mobile Cloud-Computing-Based Healthcare Service by Noncontact ECG Monitoring
title Mobile Cloud-Computing-Based Healthcare Service by Noncontact ECG Monitoring
title_full Mobile Cloud-Computing-Based Healthcare Service by Noncontact ECG Monitoring
title_fullStr Mobile Cloud-Computing-Based Healthcare Service by Noncontact ECG Monitoring
title_full_unstemmed Mobile Cloud-Computing-Based Healthcare Service by Noncontact ECG Monitoring
title_short Mobile Cloud-Computing-Based Healthcare Service by Noncontact ECG Monitoring
title_sort mobile cloud-computing-based healthcare service by noncontact ecg monitoring
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3892841/
https://www.ncbi.nlm.nih.gov/pubmed/24316562
http://dx.doi.org/10.3390/s131216451
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