Evidence map›Paper›PMID 38589504›Full record

ArticleScientific reports2024

Machine learning-based detection of acute psychosocial stress from body posture and movements.

Robert Richer, Veronika Koch, Luca Abel, Felicitas Hauck, Miriam Kurz, Veronika Ringgold, Victoria Müller, Arne Küderle, Lena Schindler-Gmelch, Bjoern M Eskofier and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. EmRad: Ubiquitous Vital Sign Sensing Using Compact Continuous-Wave Radars.IEEE open journal of engineering in medicine and biology · 2024
    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

11 authors.

Robert RicherMachine Learning and Data Analytics Lab (MaD Lab), Department Artificial Intelligence in Biomedical Engineering (AIBE), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91052, Erlangen, Germany. robert.richer@fau.de.
Veronika KochFraunhofer Institute for Integrated Circuits IIS, 91058, Erlangen, Germany.
Luca AbelMachine Learning and Data Analytics Lab (MaD Lab), Department Artificial Intelligence in Biomedical Engineering (AIBE), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91052, Erlangen, Germany.
Felicitas HauckChair of Health Psychology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91052, Erlangen, Germany.
Miriam KurzChair of Health Psychology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91052, Erlangen, Germany.
Veronika RinggoldMachine Learning and Data Analytics Lab (MaD Lab), Department Artificial Intelligence in Biomedical Engineering (AIBE), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91052, Erlangen, Germany.
Victoria MüllerMachine Learning and Data Analytics Lab (MaD Lab), Department Artificial Intelligence in Biomedical Engineering (AIBE), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91052, Erlangen, Germany.
Arne KüderleMachine Learning and Data Analytics Lab (MaD Lab), Department Artificial Intelligence in Biomedical Engineering (AIBE), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91052, Erlangen, Germany.
Lena Schindler-GmelchChair of Clinical Psychology and Psychotherapy, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91052, Erlangen, Germany.
Bjoern M Eskofier *Machine Learning and Data Analytics Lab (MaD Lab), Department Artificial Intelligence in Biomedical Engineering (AIBE), Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91052, Erlangen, Germany.
Nicolas Rohleder *Chair of Health Psychology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 91052, Erlangen, Germany.

Funding

Deutsche Forschungsgemeinschaft 442419336
6 · The paper itself

Abstract

Investigating acute stress responses is crucial to understanding the underlying mechanisms of stress. Current stress assessment methods include self-reports that can be biased and biomarkers that are often based on complex laboratory procedures. A promising additional modality for stress assessment might be the observation of body movements, which are affected by negative emotions and threatening situations. In this paper, we investigated the relationship between acute psychosocial stress induction and body posture and movements. We collected motion data from N = 59 individuals over two studies (Pilot Study: N = 20, Main Study: N = 39) using inertial measurement unit (IMU)-based motion capture suits. In both studies, individuals underwent the Trier Social Stress Test (TSST) and a stress-free control condition (friendly-TSST; f-TSST) in randomized order. Our results show that acute stress induction leads to a reproducible freezing behavior, characterized by less overall motion as well as more and longer periods of no movement. Based on these data, we trained machine learning pipelines to detect acute stress solely from movement information, achieving an accuracy of

Indexed as

Stress, PsychologicalBiomarkersHumansPilot ProjectsPostureSalivaBiomarkersCortisolFreezingHealth psychologyIMUMachine learningMotion capturingStressTSST

Identifiers

PMID38589504
PMCPMC11375162

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.