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The Impact of Heart Rate Variability Monitoring on Preventing Severe Cardiovascular Events
The increase in the incidence of cardiovascular diseases worldwide raises concerns about the urgent need to increase definite measures for the self-determination of different parameters, especially those defining cardiac function. Heart rate variability (HRV) is a non-invasive method used to evaluat...
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/PMC10378206/ https://www.ncbi.nlm.nih.gov/pubmed/37510126 http://dx.doi.org/10.3390/diagnostics13142382 |
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author | Turcu, Ana-Maria Ilie, Adina Carmen Ștefăniu, Ramona Țăranu, Sabinne Marie Sandu, Ioana Alexandra Alexa-Stratulat, Teodora Pîslaru, Anca Iuliana Alexa, Ioana Dana |
author_facet | Turcu, Ana-Maria Ilie, Adina Carmen Ștefăniu, Ramona Țăranu, Sabinne Marie Sandu, Ioana Alexandra Alexa-Stratulat, Teodora Pîslaru, Anca Iuliana Alexa, Ioana Dana |
author_sort | Turcu, Ana-Maria |
collection | PubMed |
description | The increase in the incidence of cardiovascular diseases worldwide raises concerns about the urgent need to increase definite measures for the self-determination of different parameters, especially those defining cardiac function. Heart rate variability (HRV) is a non-invasive method used to evaluate autonomic nervous system modulation on the cardiac sinus node, thus describing the oscillations between consecutive electrocardiogram R-R intervals. These fluctuations are undetectable except when using specialized devices, with ECG Holter monitoring considered the gold standard. HRV is considered an independent biomarker for measuring cardiovascular risk and for screening the occurrence of both acute and chronic heart diseases. Also, it can be an important predictive factor of frailty or neurocognitive disorders, like anxiety and depression. An increased HRV is correlated with rest, exercise, and good recovery, while a decreased HRV is an effect of stress or illness. Until now, ECG Holter monitoring has been considered the gold standard for determining HRV, but the recent decade has led to an accelerated development of technology using numerous devices that were created specifically for the pre-hospital self-monitoring of health statuses. The new generation of devices is based on the use of photoplethysmography, which involves the determination of blood changes at the level of blood vessels. These devices provide additional information about heart rate (HR), blood pressure (BP), peripheral oxygen saturation (SpO(2)), step counting, physical activity, and sleep monitoring. The most common devices that have this technique are smartwatches (used on a large scale) and chest strap monitors. Therefore, the use of technology and the self-monitoring of heart rate and heart rate variability can be an important first step in screening cardiovascular pathology and reducing the pressure on medical services in a hospital. The use of telemedicine can be an alternative, especially among elderly patients who are associated with walking disorders, frailty, or neurocognitive disorders. |
format | Online Article Text |
id | pubmed-10378206 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-103782062023-07-29 The Impact of Heart Rate Variability Monitoring on Preventing Severe Cardiovascular Events Turcu, Ana-Maria Ilie, Adina Carmen Ștefăniu, Ramona Țăranu, Sabinne Marie Sandu, Ioana Alexandra Alexa-Stratulat, Teodora Pîslaru, Anca Iuliana Alexa, Ioana Dana Diagnostics (Basel) Review The increase in the incidence of cardiovascular diseases worldwide raises concerns about the urgent need to increase definite measures for the self-determination of different parameters, especially those defining cardiac function. Heart rate variability (HRV) is a non-invasive method used to evaluate autonomic nervous system modulation on the cardiac sinus node, thus describing the oscillations between consecutive electrocardiogram R-R intervals. These fluctuations are undetectable except when using specialized devices, with ECG Holter monitoring considered the gold standard. HRV is considered an independent biomarker for measuring cardiovascular risk and for screening the occurrence of both acute and chronic heart diseases. Also, it can be an important predictive factor of frailty or neurocognitive disorders, like anxiety and depression. An increased HRV is correlated with rest, exercise, and good recovery, while a decreased HRV is an effect of stress or illness. Until now, ECG Holter monitoring has been considered the gold standard for determining HRV, but the recent decade has led to an accelerated development of technology using numerous devices that were created specifically for the pre-hospital self-monitoring of health statuses. The new generation of devices is based on the use of photoplethysmography, which involves the determination of blood changes at the level of blood vessels. These devices provide additional information about heart rate (HR), blood pressure (BP), peripheral oxygen saturation (SpO(2)), step counting, physical activity, and sleep monitoring. The most common devices that have this technique are smartwatches (used on a large scale) and chest strap monitors. Therefore, the use of technology and the self-monitoring of heart rate and heart rate variability can be an important first step in screening cardiovascular pathology and reducing the pressure on medical services in a hospital. The use of telemedicine can be an alternative, especially among elderly patients who are associated with walking disorders, frailty, or neurocognitive disorders. MDPI 2023-07-15 /pmc/articles/PMC10378206/ /pubmed/37510126 http://dx.doi.org/10.3390/diagnostics13142382 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 | Review Turcu, Ana-Maria Ilie, Adina Carmen Ștefăniu, Ramona Țăranu, Sabinne Marie Sandu, Ioana Alexandra Alexa-Stratulat, Teodora Pîslaru, Anca Iuliana Alexa, Ioana Dana The Impact of Heart Rate Variability Monitoring on Preventing Severe Cardiovascular Events |
title | The Impact of Heart Rate Variability Monitoring on Preventing Severe Cardiovascular Events |
title_full | The Impact of Heart Rate Variability Monitoring on Preventing Severe Cardiovascular Events |
title_fullStr | The Impact of Heart Rate Variability Monitoring on Preventing Severe Cardiovascular Events |
title_full_unstemmed | The Impact of Heart Rate Variability Monitoring on Preventing Severe Cardiovascular Events |
title_short | The Impact of Heart Rate Variability Monitoring on Preventing Severe Cardiovascular Events |
title_sort | impact of heart rate variability monitoring on preventing severe cardiovascular events |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10378206/ https://www.ncbi.nlm.nih.gov/pubmed/37510126 http://dx.doi.org/10.3390/diagnostics13142382 |
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