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The validity and reliability of an open source biosensing board to quantify heart rate variability
BACKGROUND: Heart rate variability (HRV) is a popular tool to quantify autonomic function. However, this typically requires an expensive 3–12 lead electrocardiogram (ECG) and BioAmp system. This investigation sought to determine the validity and reliability of an OpenBCI cyton biosensing board (open...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8173091/ https://www.ncbi.nlm.nih.gov/pubmed/34124405 http://dx.doi.org/10.1016/j.heliyon.2021.e07148 |
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author | Burma, Joel S. Lapointe, Andrew P. Soroush, Ateyeh Oni, Ibukunoluwa K. Smirl, Jonathan D. Dunn, Jeff F. |
author_facet | Burma, Joel S. Lapointe, Andrew P. Soroush, Ateyeh Oni, Ibukunoluwa K. Smirl, Jonathan D. Dunn, Jeff F. |
author_sort | Burma, Joel S. |
collection | PubMed |
description | BACKGROUND: Heart rate variability (HRV) is a popular tool to quantify autonomic function. However, this typically requires an expensive 3–12 lead electrocardiogram (ECG) and BioAmp system. This investigation sought to determine the validity and reliability of an OpenBCI cyton biosensing board (open source) for accurately quantifying HRV. NEW METHOD: A cyton board with a 3-lead ECG was employed to acquire heart rate waveform data, which was processed to obtain HRV within both time- and frequency-domains. The concurrent validity was compared to a simultaneous recording from an industry-standard 3-lead ECG (ADInstruments) (n = 15). The reliability of the cyton board was compared between three days within a 7-day timespan (n = 10). Upright quiet-stance short-term HRV metrics were quantified in time- and frequency-domains. RESULTS: The two devices displayed excellent limits of agreements (all log mean differences ±0.4) and very high between-device variable associations (all r(2) > 0.98). Between the three time points in the same subjects, no differences were noted within time- (all p > 0.71) or frequency-domains (all p > 0.88) across testing points. Finally, all HRV metrics exhibited excellent levels of reliability through high Cronbach's Alpha (all ≥0.916) and intraclass correlation coefficients (all ≥0.930); and small standard error of the measurement (all ≤0.7) and typical error of the measurement (all ≤0.1) metrics. COMPARISON WITH EXISTING METHODS: The cyton board with 3-lead ECG was compared with an industry-standard ADInstruments ECG during HRV assessments. There were no significant differences between devices with respect to time- and frequency-domains. The cyton board displayed high-levels of between-day reliability and provided values harmonious to previous ECG literature highlighting the applicability for longitudinal studies. CONCLUSION: With proper background knowledge regarding ECG principles and a small degree of set-up complexity, an open source cyton board can be created and employed to perform multimodal HRV assessments at a fraction of the cost (~4%) of an industry-standard ECG setup. |
format | Online Article Text |
id | pubmed-8173091 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-81730912021-06-11 The validity and reliability of an open source biosensing board to quantify heart rate variability Burma, Joel S. Lapointe, Andrew P. Soroush, Ateyeh Oni, Ibukunoluwa K. Smirl, Jonathan D. Dunn, Jeff F. Heliyon Research Article BACKGROUND: Heart rate variability (HRV) is a popular tool to quantify autonomic function. However, this typically requires an expensive 3–12 lead electrocardiogram (ECG) and BioAmp system. This investigation sought to determine the validity and reliability of an OpenBCI cyton biosensing board (open source) for accurately quantifying HRV. NEW METHOD: A cyton board with a 3-lead ECG was employed to acquire heart rate waveform data, which was processed to obtain HRV within both time- and frequency-domains. The concurrent validity was compared to a simultaneous recording from an industry-standard 3-lead ECG (ADInstruments) (n = 15). The reliability of the cyton board was compared between three days within a 7-day timespan (n = 10). Upright quiet-stance short-term HRV metrics were quantified in time- and frequency-domains. RESULTS: The two devices displayed excellent limits of agreements (all log mean differences ±0.4) and very high between-device variable associations (all r(2) > 0.98). Between the three time points in the same subjects, no differences were noted within time- (all p > 0.71) or frequency-domains (all p > 0.88) across testing points. Finally, all HRV metrics exhibited excellent levels of reliability through high Cronbach's Alpha (all ≥0.916) and intraclass correlation coefficients (all ≥0.930); and small standard error of the measurement (all ≤0.7) and typical error of the measurement (all ≤0.1) metrics. COMPARISON WITH EXISTING METHODS: The cyton board with 3-lead ECG was compared with an industry-standard ADInstruments ECG during HRV assessments. There were no significant differences between devices with respect to time- and frequency-domains. The cyton board displayed high-levels of between-day reliability and provided values harmonious to previous ECG literature highlighting the applicability for longitudinal studies. CONCLUSION: With proper background knowledge regarding ECG principles and a small degree of set-up complexity, an open source cyton board can be created and employed to perform multimodal HRV assessments at a fraction of the cost (~4%) of an industry-standard ECG setup. Elsevier 2021-05-27 /pmc/articles/PMC8173091/ /pubmed/34124405 http://dx.doi.org/10.1016/j.heliyon.2021.e07148 Text en © 2021 Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Burma, Joel S. Lapointe, Andrew P. Soroush, Ateyeh Oni, Ibukunoluwa K. Smirl, Jonathan D. Dunn, Jeff F. The validity and reliability of an open source biosensing board to quantify heart rate variability |
title | The validity and reliability of an open source biosensing board to quantify heart rate variability |
title_full | The validity and reliability of an open source biosensing board to quantify heart rate variability |
title_fullStr | The validity and reliability of an open source biosensing board to quantify heart rate variability |
title_full_unstemmed | The validity and reliability of an open source biosensing board to quantify heart rate variability |
title_short | The validity and reliability of an open source biosensing board to quantify heart rate variability |
title_sort | validity and reliability of an open source biosensing board to quantify heart rate variability |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8173091/ https://www.ncbi.nlm.nih.gov/pubmed/34124405 http://dx.doi.org/10.1016/j.heliyon.2021.e07148 |
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