Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Physiological Foundation of Stress01:24

Physiological Foundation of Stress

694
Stress triggers a coordinated physiological response involving the sympathetic nervous system (SNS) and the hypothalamic-pituitary-adrenal (HPA) axis. This dual activation ensures that the body is prepared for both immediate and prolonged stress management. The process begins with the perception of a stressor. This initial phase activates the SNS, leading to the rapid release of adrenaline (epinephrine) from the adrenal glands.
Role of the Sympathetic Nervous System
Adrenaline triggers the...
694
Velocity of an Object01:18

Velocity of an Object

207
Understanding how an object moves along a path requires distinguishing between motion over a time span and motion at a precise moment. A useful example is a vehicle traveling along a straight and level path, where its position at any given time is known. The initial step in analyzing this motion is to measure how far the vehicle travels over a fixed time period. This measurement, called average velocity, is computed by dividing the total change in position by the duration over which the change...
207
Wave Parameters01:10

Wave Parameters

9.4K
The simplest mechanical waves are associated with simple harmonic motion and repeat themselves for several cycles. These simple harmonic waves can be modeled using a combination of sine and cosine functions. Consider a simplified surface water wave that moves across the water's surface. Unlike complex ocean waves, in surface water waves, water moves vertically, oscillating up and down, whereas the disturbance of the wave moves horizontally through the medium. If a seagull is floating on the...
9.4K
Potential Due to a Polarized Object01:29

Potential Due to a Polarized Object

803
A neutral atom consists of a positively charged nucleus surrounded by a negatively charged electron cloud. When placed in an external electric field, the external electric force pulls the electrons and nucleus apart, opposite to the intrinsic attraction between the nucleus and the electrons. The opposing forces balance each other with a slight shift between the center of masses of the nucleus and the electron cloud, resulting in a polarized atom. On the other hand, a few molecules, like water,...
803
Potential Due to a Magnetized Object01:24

Potential Due to a Magnetized Object

819
Magnetic dipoles in magnetic materials are aligned when placed under an external magnetic field. For paramagnets and ferromagnets, dipole alignment occurs in the direction of the magnetic field. However, the dipoles align opposite to the field in the case of diamagnets. This state of magnetic polarization due to the external field is called magnetization. Magnetization is defined as the dipole moment per unit volume. It plays a similar role to polarization in electrostatics.
The vector...
819
Physiological Barriers01:25

Physiological Barriers

5.3K
Physiological barriers are semi-permeable cellular structures restricting drug diffusion into intracellular compartments and tissues. There are six types of physiological barriers: blood endothelial, cell membrane, blood-brain, blood-cerebrospinal fluid (CSF), blood-placenta, and blood-testis barriers.
The blood endothelial barrier is the most porous of these. It allows all small ionized, un-ionized, and lipophilic molecules to pass through the endothelial lining into the interstitial space...
5.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Microfluidics-based cell recognition through optimizing suspended cell staining techniques and artificial intelligence.

Journal of biological engineering·2026
Same author

Mental Stress Detection Using Physiological Sensors and Artificial Intelligence: A Review.

Sensors (Basel, Switzerland)·2026
Same author

Exploring the impact of interaction dynamics and professional capacity and development on cognitive medical errors: a multiple-case study of healthcare professionals in Jordan.

BMC medical education·2025
Same author

Electrical impedance tomography image reconstruction for lung monitoring based on ensemble learning algorithms.

Healthcare technology letters·2024
Same author

Assessing the Gap Between Women's Expectations and Perceptions of the Quality of Intrapartum Care in Jordan: A Two-Stage Study Using the SERVQUAL Model.

Health expectations : an international journal of public participation in health care and health policy·2024
Same author

Validity and reliability of an Arabic-language version of the postpartum specific anxiety scale research short-form in Jordan.

Birth (Berkeley, Calif.)·2024

Related Experiment Video

Updated: Feb 8, 2026

Measurements of Physiological Stress Responses in C. Elegans
10:36

Measurements of Physiological Stress Responses in C. Elegans

Published on: May 21, 2020

15.0K

Objective detection of chronic stress using physiological parameters.

Rabah M Al Abdi1, Ahmad E Alhitary2, Enas W Abdul Hay3

  • 1Biomedical Engineering Department, Faculty of Engineering, Jordan University of Science and Technology, Irbid, 22110, Jordan. rmalabdi@just.edu.jo.

Medical & Biological Engineering & Computing
|June 19, 2018
PubMed
Summary

This study developed a system to diagnose chronic stress by measuring autonomic nervous system (ANS) responses to cognitive load (CL). The system accurately identifies stress by detecting blunted physiological changes, aiding in preventing stress-related diseases.

Keywords:
Autonomic nervous system (ANS)Physiological parametersPupillometryState-Trait Anxiety Inventory (STAI)Stress

More Related Videos

Using Chronic Social Stress to Model Postpartum Depression in Lactating Rodents
07:30

Using Chronic Social Stress to Model Postpartum Depression in Lactating Rodents

Published on: June 10, 2013

25.6K
An Unpredictable Chronic Mild Stress Protocol for Instigating Depressive Symptoms, Behavioral Changes and Negative Health Outcomes in Rodents
06:55

An Unpredictable Chronic Mild Stress Protocol for Instigating Depressive Symptoms, Behavioral Changes and Negative Health Outcomes in Rodents

Published on: December 2, 2015

23.5K

Related Experiment Videos

Last Updated: Feb 8, 2026

Measurements of Physiological Stress Responses in C. Elegans
10:36

Measurements of Physiological Stress Responses in C. Elegans

Published on: May 21, 2020

15.0K
Using Chronic Social Stress to Model Postpartum Depression in Lactating Rodents
07:30

Using Chronic Social Stress to Model Postpartum Depression in Lactating Rodents

Published on: June 10, 2013

25.6K
An Unpredictable Chronic Mild Stress Protocol for Instigating Depressive Symptoms, Behavioral Changes and Negative Health Outcomes in Rodents
06:55

An Unpredictable Chronic Mild Stress Protocol for Instigating Depressive Symptoms, Behavioral Changes and Negative Health Outcomes in Rodents

Published on: December 2, 2015

23.5K

Area of Science:

  • Physiology
  • Psychology
  • Biomedical Engineering

Background:

  • Chronic stress significantly impacts the autonomic nervous system (ANS).
  • Assessing ANS reactivity to cognitive load (CL) is crucial for understanding stress responses.
  • Existing methods for stress diagnosis often lack objective physiological measures.

Purpose of the Study:

  • To design and validate a system for diagnosing chronic stress.
  • To investigate blunted ANS reactivity to CL as a biomarker for chronic stress.
  • To evaluate the system's accuracy in differentiating between stressed and non-stressed individuals.

Main Methods:

  • Concurrently measured CL-induced variations in pupil diameter (PD), heart rate (HR), pulse wave amplitude (PWA), galvanic skin response (GSR), and breathing rate (BR).
  • Utilized number-multiplication questions as CLs for 58 volunteers.
  • Assessed stress levels using the State-Trait Anxiety Inventory (STAI).

Main Results:

  • Significant differences (p < 0.05) in CL-induced PWA, GSR, and PD changes were observed between stressed and non-stressed subjects.
  • ROC analysis confirmed the utility of PWA, GSR, and PD in identifying stressed individuals.
  • Classification algorithms achieved up to 91.7% sensitivity and 89.7% accuracy in stress detection using 10-fold cross-validation.

Conclusions:

  • The study demonstrates blunted CL-induced changes in PWA, GSR, and PD in stressed individuals.
  • The developed system objectively detects chronic stress with high accuracy.
  • This technology holds potential for monitoring stress and preventing related diseases.