Evidence map›Paper›PMID 40285033›Full record

ArticleSensors (Basel, Switzerland)2025

Detection of Cognitive Load Modulation by EDA and HRV.

Alexis Boffet, Laurent M Arsac, Vincent Ibanez, Fabien Sauvet, Véronique Deschodt-Arsac

Abstract read
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 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

5 authors.

Alexis BoffetLaboratoire IMS, CNRS, UMR 5218, Université de Bordeaux, Talence, France.ORCID 0009-0007-6426-5445
Laurent M ArsacLaboratoire IMS, CNRS, UMR 5218, Université de Bordeaux, Talence, France.
Vincent IbanezThales AVS FRANCE SAS, Mérignac, France.
Fabien SauvetInstitut de Recherche Biomédicale des Armées (IRBA), Brétigny sur Orge, France.
Véronique Deschodt-ArsacLaboratoire IMS, CNRS, UMR 5218, Université de Bordeaux, Talence, France.ORCID 0000-0002-9244-9862

Funding

Association Nationale de la Recherche et de la Technologie 2022/0869
6 · The paper itself

Abstract

Electrodermal activity (EDA) and heart rate variability (HRV) offer opportunities to grasp critical manifestations of the nervous autonomic system using low-intrusive sensing tools. A key question relies on the capacity to adequately process EDA and HRV signals to extract cognitive load markers, a multifaceted construct with intricate neural networks functioning, where emotions interfere with cognition. Here, 34 participants (20 males, 19.2 ± 1.3 years) were exposed to two-back mental tasking and watching emotionally charged images while recording EDA and HRV. HRV signals were processed using variable frequency complex demodulation (VFCDM) and wavelet packet transform (WPT) to provide high- and low-frequency (HF and LF) markers. Three methods were used to extract EDA indices: VFCDM (EDA

Indexed as

CognitionGalvanic Skin ResponseHeart RateAdultAutonomic Nervous SystemEmotionsFemaleHumansMaleYoung Adult2-backcognitive loadEDAHRVNASA-TLX

Identifiers

PMID40285033
PMCPMC12030397

What Socratic 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 Socratic graph.