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Electrocardiogram Sampling Frequency Range Acceptable for Heart Rate Variability Analysis

OBJECTIVES: Heart rate variability (HRV) has gained recognition as a noninvasive marker of autonomic activity. HRV is considered a promising tool in various clinical scenarios. The optimal electrocardiogram (ECG) sampling frequency required to ensure sufficient precision of R–R intervals for HRV ana...

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Autores principales: Kwon, Ohhwan, Jeong, Jinwoo, Kim, Hyung Bin, Kwon, In Ho, Park, Song Yi, Kim, Ji Eun, Choi, Yuri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Medical Informatics 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6085204/
https://www.ncbi.nlm.nih.gov/pubmed/30109153
http://dx.doi.org/10.4258/hir.2018.24.3.198
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author Kwon, Ohhwan
Jeong, Jinwoo
Kim, Hyung Bin
Kwon, In Ho
Park, Song Yi
Kim, Ji Eun
Choi, Yuri
author_facet Kwon, Ohhwan
Jeong, Jinwoo
Kim, Hyung Bin
Kwon, In Ho
Park, Song Yi
Kim, Ji Eun
Choi, Yuri
author_sort Kwon, Ohhwan
collection PubMed
description OBJECTIVES: Heart rate variability (HRV) has gained recognition as a noninvasive marker of autonomic activity. HRV is considered a promising tool in various clinical scenarios. The optimal electrocardiogram (ECG) sampling frequency required to ensure sufficient precision of R–R intervals for HRV analysis has not yet been determined. Here, we aimed to determine the acceptable ECG sampling frequency range by analyzing ECG signals from patients who visited an emergency department with the chief complaint of acute intoxication or overdose. METHODS: The study included 83 adult patients who visited an emergency department with the chief complaint of acute poisoning. The original 1,000-Hz ECG signals were down-sampled to 500-, 250-, 100-, and 50-Hz sampling frequencies with linear interpolation. R–R interval data were analyzed for time-domain, frequency-domain, and nonlinear HRV parameters. Parameters derived from the data on down-sampled frequencies were compared with those derived from the data on 1,000-Hz signals, and Lin's concordance correlation coefficients were calculated. RESULTS: Down-sampling to 500 or 250 Hz resulted in excellent concordance. Signals down-sampled to 100 Hz produced acceptable results for time-domain analysis and Poincaré plots, but not for frequency-domain analysis. Down-sampling to 50 Hz proved to be unacceptable for both time- and frequency-domain analyses. At 50 Hz, the root-mean-squared successive differences and the power of high frequency tended to have high values and random errors. CONCLUSIONS: A 250-Hz sampling frequency would be acceptable for HRV analysis. When frequency-domain analysis is not required, a 100-Hz sampling frequency would also be acceptable.
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spelling pubmed-60852042018-08-14 Electrocardiogram Sampling Frequency Range Acceptable for Heart Rate Variability Analysis Kwon, Ohhwan Jeong, Jinwoo Kim, Hyung Bin Kwon, In Ho Park, Song Yi Kim, Ji Eun Choi, Yuri Healthc Inform Res Original Article OBJECTIVES: Heart rate variability (HRV) has gained recognition as a noninvasive marker of autonomic activity. HRV is considered a promising tool in various clinical scenarios. The optimal electrocardiogram (ECG) sampling frequency required to ensure sufficient precision of R–R intervals for HRV analysis has not yet been determined. Here, we aimed to determine the acceptable ECG sampling frequency range by analyzing ECG signals from patients who visited an emergency department with the chief complaint of acute intoxication or overdose. METHODS: The study included 83 adult patients who visited an emergency department with the chief complaint of acute poisoning. The original 1,000-Hz ECG signals were down-sampled to 500-, 250-, 100-, and 50-Hz sampling frequencies with linear interpolation. R–R interval data were analyzed for time-domain, frequency-domain, and nonlinear HRV parameters. Parameters derived from the data on down-sampled frequencies were compared with those derived from the data on 1,000-Hz signals, and Lin's concordance correlation coefficients were calculated. RESULTS: Down-sampling to 500 or 250 Hz resulted in excellent concordance. Signals down-sampled to 100 Hz produced acceptable results for time-domain analysis and Poincaré plots, but not for frequency-domain analysis. Down-sampling to 50 Hz proved to be unacceptable for both time- and frequency-domain analyses. At 50 Hz, the root-mean-squared successive differences and the power of high frequency tended to have high values and random errors. CONCLUSIONS: A 250-Hz sampling frequency would be acceptable for HRV analysis. When frequency-domain analysis is not required, a 100-Hz sampling frequency would also be acceptable. Korean Society of Medical Informatics 2018-07 2018-07-31 /pmc/articles/PMC6085204/ /pubmed/30109153 http://dx.doi.org/10.4258/hir.2018.24.3.198 Text en © 2018 The Korean Society of Medical Informatics http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Kwon, Ohhwan
Jeong, Jinwoo
Kim, Hyung Bin
Kwon, In Ho
Park, Song Yi
Kim, Ji Eun
Choi, Yuri
Electrocardiogram Sampling Frequency Range Acceptable for Heart Rate Variability Analysis
title Electrocardiogram Sampling Frequency Range Acceptable for Heart Rate Variability Analysis
title_full Electrocardiogram Sampling Frequency Range Acceptable for Heart Rate Variability Analysis
title_fullStr Electrocardiogram Sampling Frequency Range Acceptable for Heart Rate Variability Analysis
title_full_unstemmed Electrocardiogram Sampling Frequency Range Acceptable for Heart Rate Variability Analysis
title_short Electrocardiogram Sampling Frequency Range Acceptable for Heart Rate Variability Analysis
title_sort electrocardiogram sampling frequency range acceptable for heart rate variability analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6085204/
https://www.ncbi.nlm.nih.gov/pubmed/30109153
http://dx.doi.org/10.4258/hir.2018.24.3.198
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