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Combined Cardiac and Respiratory Monitoring from a Single Signal: A Case Study Employing the Fantasia Database
This study proposes a novel method for obtaining the electrocardiogram (ECG) derived respiration (EDR) from a single lead ECG and respiration-derived cardiogram (RDC) from a respiratory stretch sensor. The research aims to reconstruct the respiration waveform, determine the respiration rate from ECG...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490584/ https://www.ncbi.nlm.nih.gov/pubmed/37687857 http://dx.doi.org/10.3390/s23177401 |
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author | Brandwood, Benjamin M. Naik, Ganesh R. Gunawardana, Upul Gargiulo, Gaetano D. |
author_facet | Brandwood, Benjamin M. Naik, Ganesh R. Gunawardana, Upul Gargiulo, Gaetano D. |
author_sort | Brandwood, Benjamin M. |
collection | PubMed |
description | This study proposes a novel method for obtaining the electrocardiogram (ECG) derived respiration (EDR) from a single lead ECG and respiration-derived cardiogram (RDC) from a respiratory stretch sensor. The research aims to reconstruct the respiration waveform, determine the respiration rate from ECG QRS heartbeat complexes data, locate heartbeats, and calculate a heart rate (HR) using the respiration signal. The accuracy of both methods will be evaluated by comparing located QRS complexes and inspiration maxima to reference positions. The findings of this study will ultimately contribute to the development of new, more accurate, and efficient methods for identifying heartbeats in respiratory signals, leading to better diagnosis and management of cardiovascular diseases, particularly during sleep where respiration monitoring is paramount to detect apnoea and other respiratory dysfunctions linked to a decreased life quality and known cause of cardiovascular diseases. Additionally, this work could potentially assist in determining the feasibility of using simple, no-contact wearable devices for obtaining simultaneous cardiology and respiratory data from a single device. |
format | Online Article Text |
id | pubmed-10490584 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104905842023-09-09 Combined Cardiac and Respiratory Monitoring from a Single Signal: A Case Study Employing the Fantasia Database Brandwood, Benjamin M. Naik, Ganesh R. Gunawardana, Upul Gargiulo, Gaetano D. Sensors (Basel) Article This study proposes a novel method for obtaining the electrocardiogram (ECG) derived respiration (EDR) from a single lead ECG and respiration-derived cardiogram (RDC) from a respiratory stretch sensor. The research aims to reconstruct the respiration waveform, determine the respiration rate from ECG QRS heartbeat complexes data, locate heartbeats, and calculate a heart rate (HR) using the respiration signal. The accuracy of both methods will be evaluated by comparing located QRS complexes and inspiration maxima to reference positions. The findings of this study will ultimately contribute to the development of new, more accurate, and efficient methods for identifying heartbeats in respiratory signals, leading to better diagnosis and management of cardiovascular diseases, particularly during sleep where respiration monitoring is paramount to detect apnoea and other respiratory dysfunctions linked to a decreased life quality and known cause of cardiovascular diseases. Additionally, this work could potentially assist in determining the feasibility of using simple, no-contact wearable devices for obtaining simultaneous cardiology and respiratory data from a single device. MDPI 2023-08-25 /pmc/articles/PMC10490584/ /pubmed/37687857 http://dx.doi.org/10.3390/s23177401 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Brandwood, Benjamin M. Naik, Ganesh R. Gunawardana, Upul Gargiulo, Gaetano D. Combined Cardiac and Respiratory Monitoring from a Single Signal: A Case Study Employing the Fantasia Database |
title | Combined Cardiac and Respiratory Monitoring from a Single Signal: A Case Study Employing the Fantasia Database |
title_full | Combined Cardiac and Respiratory Monitoring from a Single Signal: A Case Study Employing the Fantasia Database |
title_fullStr | Combined Cardiac and Respiratory Monitoring from a Single Signal: A Case Study Employing the Fantasia Database |
title_full_unstemmed | Combined Cardiac and Respiratory Monitoring from a Single Signal: A Case Study Employing the Fantasia Database |
title_short | Combined Cardiac and Respiratory Monitoring from a Single Signal: A Case Study Employing the Fantasia Database |
title_sort | combined cardiac and respiratory monitoring from a single signal: a case study employing the fantasia database |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490584/ https://www.ncbi.nlm.nih.gov/pubmed/37687857 http://dx.doi.org/10.3390/s23177401 |
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