Evidence map›Paper›PMID 35665072›Full record

ArticleHearts (Basel, Switzerland)2021

Body Surface Potential Mapping: Contemporary Applications and Future Perspectives.

Jake Bergquist, Lindsay Rupp, Brian Zenger, James Brundage, Anna Busatto, Rob S MacLeod

Open access · goldAbstract read
In one paragraph

Article in Hearts (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Computer-aided characterization of the arrhythmogenic substrate after myocardial infarction.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Body Surface Potential Mapping: A Perspective on High-Density Cutaneous Electrophysiology.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. [Developments of ex vivo cardiac electrical mapping and intelligent labeling of atrial fibrillation substrates].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024
    Review
  19. Article
  20. Article
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

6 authors at 1 institution in 1 country.

Jake BergquistDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA.ORCID 0000-0002-4586-6911
Lindsay RuppDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA.
Brian ZengerDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA.
James BrundageSchool of Medicine, University of Utah, Salt Lake City, UT 84112, USA.
Anna BusattoDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA.
Rob S MacLeodDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA.
University of Utah · US

Funding

TRD - VisualizationP41GM103545 · NIGMS · UNIVERSITY OF UTAH · PI MACLEOD, ROB S. · 2012 to 2019
$9.7M
Center for Integrative Biomedical Computing Legacy TransitionR24GM136986 · NIGMS · UNIVERSITY OF UTAH · PI JOHNSON, CHRISTOPHER R., MACLEOD, ROB S. · 2020 to 2022
$1.6M
Novel Characterization and Detection Techniques for Acute Myocardial IschemiaF30HL149327 · NHLBI · UNIVERSITY OF UTAH · PI ZENGER, BRIAN · 2020 to 2022
$117k
NHLBI NIH HHS F30 HL149327NIGMS NIH HHS P41 GM103545NIGMS NIH HHS R24 GM136986
6 · The paper itself

Abstract

Body surface potential mapping (BSPM) is a noninvasive modality to assess cardiac bioelectric activity with a rich history of practical applications for both research and clinical investigation. BSPM provides comprehensive acquisition of bioelectric signals across the entire thorax, allowing for more complex and extensive analysis than the standard electrocardiogram (ECG). Despite its advantages, BSPM is not a common clinical tool. BSPM does, however, serve as a valuable research tool and as an input for other modes of analysis such as electrocardiographic imaging and, more recently, machine learning and artificial intelligence. In this report, we examine contemporary uses of BSPM, and provide an assessment of its future prospects in both clinical and research environments. We assess the state of the art of BSPM implementations and explore modern applications of advanced modeling and statistical analysis of BSPM data. We predict that BSPM will continue to be a valuable research tool, and will find clinical utility at the intersection of computational modeling approaches and artificial intelligence.

Indexed as

body surface mappingclinical applicationselectrocardiographic imagingimage processing

Identifiers

PMID35665072
PMCPMC9164986
OpenAlexW3213906624

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.