Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Burma, Joel S., Lapointe, Andrew P., Soroush, Ateyeh, Oni, Ibukunoluwa K., Smirl, Jonathan D., Dunn, Jeff F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
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
_version_ 1783702652011413504
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
work_keys_str_mv AT burmajoels thevalidityandreliabilityofanopensourcebiosensingboardtoquantifyheartratevariability
AT lapointeandrewp thevalidityandreliabilityofanopensourcebiosensingboardtoquantifyheartratevariability
AT soroushateyeh thevalidityandreliabilityofanopensourcebiosensingboardtoquantifyheartratevariability
AT oniibukunoluwak thevalidityandreliabilityofanopensourcebiosensingboardtoquantifyheartratevariability
AT smirljonathand thevalidityandreliabilityofanopensourcebiosensingboardtoquantifyheartratevariability
AT dunnjefff thevalidityandreliabilityofanopensourcebiosensingboardtoquantifyheartratevariability
AT burmajoels validityandreliabilityofanopensourcebiosensingboardtoquantifyheartratevariability
AT lapointeandrewp validityandreliabilityofanopensourcebiosensingboardtoquantifyheartratevariability
AT soroushateyeh validityandreliabilityofanopensourcebiosensingboardtoquantifyheartratevariability
AT oniibukunoluwak validityandreliabilityofanopensourcebiosensingboardtoquantifyheartratevariability
AT smirljonathand validityandreliabilityofanopensourcebiosensingboardtoquantifyheartratevariability
AT dunnjefff validityandreliabilityofanopensourcebiosensingboardtoquantifyheartratevariability