Evidence map›Paper›PMID 30734153›Full record

ArticleMedical & biological engineering & computing2019

Fusion of heart rate variability and salivary cortisol for stress response identification based on adverse childhood experience.

Noor Aimie-Salleh, M B Malarvili, Anna C Whittaker

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Medical & biological engineering & computing, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 19 citations in OpenAlex.

  1. Trial
  2. Heart rate variability in unstably housed Veterans with mental health conditions.Journal of clinical and experimental neuropsychology · 2025
    Article
  3. Article
  4. Analysis of wearable time series data in endocrine and metabolic research.Current opinion in endocrine and metabolic research · 2022
    Review
  5. Emotional Self-Regulation in Primary Education: A Heart Rate-Variability Biofeedback Intervention Programme.International journal of environmental research and public health · 2022
    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

3 authors at 2 institutions in 2 countries.

Noor Aimie-SallehSchool of Biomedical Engineering and Health Sciences, Faculty of Engineering, Universiti Teknologi Malaysia, 81310, Johor Bahru, Johor, Malaysia. aimie@biomedical.utm.my.ORCID http://orcid.org/0000-0003-4968-9534
M B MalarviliSchool of Biomedical Engineering and Health Sciences, Faculty of Engineering, Universiti Teknologi Malaysia, 81310, Johor Bahru, Johor, Malaysia.
Anna C WhittakerSchool of Sport, Exercise, and Rehabilitation Sciences, University of Birmingham, Birmingham, UK.
University of Technology Malaysia · MYUniversity of Birmingham · GB

Funding

Ministry of Higher Education Malaysia R.J130000.7745.4F943Universiti Teknologi Malaysia RUG 15J59
6 · The paper itself

Abstract

Adverse childhood experiences have been suggested to cause changes in physiological processes and can determine the magnitude of the stress response which might have a significant impact on health later in life. To detect the stress response, biomarkers that represent both the Autonomic Nervous System (ANS) and Hypothalamic-Pituitary-Adrenal (HPA) axis are proposed. Among the available biomarkers, Heart Rate Variability (HRV) has been proven as a powerful biomarker that represents ANS. Meanwhile, salivary cortisol has been suggested as a biomarker that reflects the HPA axis. Even though many studies used multiple biomarkers to measure the stress response, the results for each biomarker were analyzed separately. Therefore, the objective of this study is to propose a fusion of ANS and HPA axis biomarkers in order to classify the stress response based on adverse childhood experience. Electrocardiograph, blood pressure (BP), pulse rate (PR), and salivary cortisol (SCort) measures were collected from 23 healthy participants; 11 participants had adverse childhood experience while the remaining 12 acted as the no adversity control group. HRV was then computed from the ECG and the HRV features were extracted. Next, the selected HRV features were combined with the other biomarkers using Euclidean distance (e

Indexed as

Adverse Childhood ExperiencesBiomarkersEntropyFemaleHeart RateHumansHydrocortisoneMaleNonlinear DynamicsSalivaStress, PsychologicalSupport Vector MachineYoung AdultBiomarkersHydrocortisoneChildhood stressElectrocardiogramFusionHeart rate variabilityStressStress detector

Identifiers

PMID30734153
OpenAlexW2912267133

What OpenQuestion holds

Textmetadata
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.