Evidence map›Paper›PMID 40732407›Full record

ArticleSensors (Basel, Switzerland)2025

Quantifying Mental Stress Using Cardiovascular Responses: A Scoping Review.

Samira Ziyadidegan, Neda Sadeghi, Moein Razavi, Elaheh Baharlouei, Vahid Janfaza, Saber Kazeminasab, Homa Pesarakli, Amir Hossein Javid, Farzan Sasangohar

Abstract readScoping Review
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

9 authors.

Samira ZiyadideganDepartment of Industrial and Systems Engineering, Texas A&M University, College Station, TX 77840, USA.ORCID 0000-0003-3113-8208
Neda SadeghiDepartment of Construction Science, Texas A&M University, College Station, TX 77840, USA.ORCID 0000-0001-7836-6326
Moein RazaviDepartment of Industrial and Systems Engineering, Texas A&M University, College Station, TX 77840, USA.
Elaheh BaharloueiDepartment of Computer Science, University of Houston, Houston, TX 77004, USA.ORCID 0009-0006-3458-3226
Vahid JanfazaDepartment of Computer Science and Engineering, Texas A&M University, College Station, TX 77840, USA.ORCID 0000-0002-8656-4848
Saber KazeminasabHarvard Medical School, Harvard University, Boston, MA 02115, USA.ORCID 0000-0002-7238-4942
Homa PesarakliDepartment of Architecture, Texas A&M University, College Station, TX 77840, USA.ORCID 0000-0002-2980-987X
Amir Hossein JavidDepartment of Industrial and Systems Engineering, Texas A&M University, College Station, TX 77840, USA.ORCID 0000-0002-6783-9607
Farzan SasangoharDepartment of Industrial and Systems Engineering, Texas A&M University, College Station, TX 77840, USA.ORCID 0000-0001-9962-5470

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Physiological responses, such as heart rate and heart rate variability, have been increasingly utilized to monitor, detect, and predict mental stress. This review summarizes and synthesizes previous studies which analyzed the impact of mental stress on heart activity as well as mathematical, statistical, and visualization methods employed in such analyses. (2) Methods: A total of 119 articles were reviewed following the Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) guidelines. Non-English documents, studies not related to mental stress, and publications on machine learning techniques were excluded. Only peer-reviewed journals and conference proceedings were considered. (3) Results: The studies revealed that heart activities and behaviors changed during stressful events. The majority of the studies utilized descriptive statistical tests, including

Indexed as

Heart RateStress, PsychologicalHumansheart rate variability (HRV)mental stressphysiological responsesquantitative methodologiestime series models

Identifiers

PMID40732407
PMCPMC12300869

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.