Cited by 284Heart Rate Variability and Autonomic ControlECG Monitoring and AnalysisNon-Invasive Vital Sign Monitoring

ARTiiFACT: a tool for heart rate artifact processing and heart rate variability analysis.

Open access
Kaufmann, Tobias, Sütterlin, Stefan, Schulz, Stefan M., Vögele, Claus·2011·Behavior Research Methods

Abstract

The importance of appropriate handling of artifacts in interbeat interval (IBI) data must not be underestimated. Even a single artifact may cause unreliable heart rate variability (HRV) results. Thus, a robust artifact detection algorithm and the option for manual intervention by the researcher form key components for confident HRV analysis. Here, we present ARTiiFACT, a software tool for processing electrocardiogram and IBI data. Both automated and manual artifact detection and correction are available in a graphical user interface. In addition, ARTiiFACT includes time- and frequency-based HRV analyses and descriptive statistics, thus offering the basic tools for HRV analysis. Notably, all program steps can be executed separately and allow for data export, thus offering high flexibility and interoperability with a whole range of applications.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3758/s13428-011-0107-7

Cites

28 of 28 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Kaufmann, T., Sütterlin, S., Schulz, S. M., & Vögele, C.
Affiliations
  • University of Würzburg (DE)
  • University of Luxembourg (LU)
Corresponding author
Kaufmann, Tobias
Venue
Behavior Research Methods
Published
2011-05-14
Volume
43
Issue
4
Pages
1161-1170
ISSN
  • 1554-351X (ISSN-L)
  • 1554-3528
OpenAlex
W2073800110
Cited by
284
References
28
Citations by year
2026: 7 · 2025: 12 · 2024: 23 · 2023: 21 · 2022: 28 · 2021: 24 · 2020: 32 · 2019: 32 · 2018: 19 · 2017: 24 · 2016: 23 · 2015: 15 · 2014: 13 · 2013: 6 · 2012: 1
FWCI
5.02
Type
journal article
Language
en
Open access
Locations
  • Behavior Research Methods (publishedVersion)
  • PubMed (publishedVersion)
  • Lirias (KU Leuven) (submittedVersion)
  • Open Repository and Bibliography (University of Luxembourg) (submittedVersion)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › ECG Monitoring and Analysis
  • Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
Keywords
heart rate variability, artifact removal, graphical user interface software
MeSH terms
Algorithms, Heart Rate, Humans, Signal Processing, Computer-Assisted, Software, Electrocardiography, Ambulatory, Artifacts

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review