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Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis

A number of resources, every year, being spent to tackle early detection of cardiac abnormalities which is one of the leading causes of deaths all over the Globe. The challenges for healthcare systems includes early detection, portability and mobility of patients. This paper presents a categorical r...

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Autores principales: Shabaan, Muhammad, Arshad, Kaleem, Yaqub, Muhammad, Jinchao, Fung, Zia, M. Sultan, Boja, Girridhar Reddy, Iftikhar, Muazzam, Ghani, Usman, Ambati, Loknath Sai, Munir, Rizwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7392662/
https://www.ncbi.nlm.nih.gov/pubmed/32727453
http://dx.doi.org/10.1186/s12911-020-01199-7
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author Shabaan, Muhammad
Arshad, Kaleem
Yaqub, Muhammad
Jinchao, Fung
Zia, M. Sultan
Boja, Girridhar Reddy
Iftikhar, Muazzam
Ghani, Usman
Ambati, Loknath Sai
Munir, Rizwan
author_facet Shabaan, Muhammad
Arshad, Kaleem
Yaqub, Muhammad
Jinchao, Fung
Zia, M. Sultan
Boja, Girridhar Reddy
Iftikhar, Muazzam
Ghani, Usman
Ambati, Loknath Sai
Munir, Rizwan
author_sort Shabaan, Muhammad
collection PubMed
description A number of resources, every year, being spent to tackle early detection of cardiac abnormalities which is one of the leading causes of deaths all over the Globe. The challenges for healthcare systems includes early detection, portability and mobility of patients. This paper presents a categorical review of smartphone-based systems that can detect cardiac abnormalities by the analysis of Electrocardiogram (ECG) and Photoplethysmography (PPG) and the limitation and challenges of these system. The ECG based systems can monitor, record and forward signals for analysis and an alarm can be triggered in case of abnormality, however the limitation of smart phone’s processing capabilities, lack of storage and speed of network are major challenges. The systems based on PPG signals are non-invasive and provides mobility and portability. This study aims to critically review the existing systems, their limitation, challenges and possible improvements to serve as a reference for researchers and developers.
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spelling pubmed-73926622020-08-04 Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis Shabaan, Muhammad Arshad, Kaleem Yaqub, Muhammad Jinchao, Fung Zia, M. Sultan Boja, Girridhar Reddy Iftikhar, Muazzam Ghani, Usman Ambati, Loknath Sai Munir, Rizwan BMC Med Inform Decis Mak Review A number of resources, every year, being spent to tackle early detection of cardiac abnormalities which is one of the leading causes of deaths all over the Globe. The challenges for healthcare systems includes early detection, portability and mobility of patients. This paper presents a categorical review of smartphone-based systems that can detect cardiac abnormalities by the analysis of Electrocardiogram (ECG) and Photoplethysmography (PPG) and the limitation and challenges of these system. The ECG based systems can monitor, record and forward signals for analysis and an alarm can be triggered in case of abnormality, however the limitation of smart phone’s processing capabilities, lack of storage and speed of network are major challenges. The systems based on PPG signals are non-invasive and provides mobility and portability. This study aims to critically review the existing systems, their limitation, challenges and possible improvements to serve as a reference for researchers and developers. BioMed Central 2020-07-29 /pmc/articles/PMC7392662/ /pubmed/32727453 http://dx.doi.org/10.1186/s12911-020-01199-7 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Review
Shabaan, Muhammad
Arshad, Kaleem
Yaqub, Muhammad
Jinchao, Fung
Zia, M. Sultan
Boja, Girridhar Reddy
Iftikhar, Muazzam
Ghani, Usman
Ambati, Loknath Sai
Munir, Rizwan
Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis
title Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis
title_full Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis
title_fullStr Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis
title_full_unstemmed Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis
title_short Survey: smartphone-based assessment of cardiovascular diseases using ECG and PPG analysis
title_sort survey: smartphone-based assessment of cardiovascular diseases using ecg and ppg analysis
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7392662/
https://www.ncbi.nlm.nih.gov/pubmed/32727453
http://dx.doi.org/10.1186/s12911-020-01199-7
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