Evidence map›Paper›PMID 30109153›Full record

ArticleHealthcare informatics research2018

Electrocardiogram Sampling Frequency Range Acceptable for Heart Rate Variability Analysis.

Ohhwan Kwon, Jinwoo Jeong, Hyung Bin Kim, In Ho Kwon, Song Yi Park, Ji Eun Kim, Yuri Choi

Abstract read
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Article in Healthcare informatics research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

59 citing papers in PubMed.

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  9. Distributed fMRI Patterns Coupled to Low-Frequency Cardiorespiratory Dynamics Provide Markers of Aging.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Ohhwan KwonDepartment of Emergency Medicine, Dong-A University Medical Center, Busan, Korea.
Jinwoo JeongDepartment of Emergency Medicine, Dong-A University Medical Center, Busan, Korea.
Hyung Bin KimDepartment of Emergency Medicine, Pusan National University Hospital, Busan, Korea.
In Ho KwonDepartment of Emergency Medicine, Dong-A University Medical Center, Busan, Korea.
Song Yi ParkDepartment of Emergency Medicine, Dong-A University Medical Center, Busan, Korea.
Ji Eun KimDepartment of Emergency Medicine, Dong-A University Medical Center, Busan, Korea.
Yuri ChoiDepartment of Emergency Medicine, Dong-A University Medical Center, Busan, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesHeart 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.

methodsThe 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.

resultsDown-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.

conclusionsA 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.

Indexed as

Computer-Assisted Signal ProcessingElectrocardiographyEmergenciesHeart RatePoisoning

Identifiers

PMID30109153
PMCPMC6085204

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.