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

147
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...
147
Stress Concentrations01:24

Stress Concentrations

368
Stress concentration is when stress intensifies near discontinuities such as holes or abrupt cross-sectional changes in a structural member. This localized stress can often surpass the average stress within the member. The stress distribution in flat bars, either with a circular hole or varying widths connected by fillets, can be determined experimentally using a photoelastic method. The results are based on ratios of geometric parameters like the ratio of the hole's radius to the smaller...
368
Applications of Stress01:04

Applications of Stress

393
Consider a structure made of a boom and a rod designed to support a load. These two components are connected by a pin and stabilized by brackets and pins. The boom and the rod are detached from their supports to assess the different stresses imposed on this structure, and a free-body diagram is drawn. Then, all the forces applied, including the load acting on the structure, are identified. The reaction forces exerted on both the boom and the rod are computed using the equilibrium equations.
The...
393
Components of Stress01:23

Components of Stress

262
Stress analysis under multiple loading conditions is intricate, necessitating a comprehensive grasp of normal and shearing stresses. Consider a small cube at point O, subjected to stress on all six faces, visible or not. Normal stress components σx, σy, σz act perpendicularly to the x, y, and z axes. Shearing stress components τxy and τxz are exerted on faces perpendicular to these axes.
Interestingly, the hidden cube faces also experience these stresses, equal and...
262

You might also read

Related Articles

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

Sort by
Same author

Fine-Grained Prompting in Large Language Models for Accurate and Efficient TNM Staging from Radiology Reports.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Camera-Position-Robust Drowsiness Estimation Based on Rotated-Facial-Video Augmentation.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Evaluation of Correlation between Psychomotor Vigilance Task Scores and Drowsiness Estimation Levels Obtained from Facial Videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2023
Same author

Accurate Chronic Stress Estimation with Personalized Models Based on Correlation Maximization.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2022
Same author

Interactive Effects of Productivity and Work Engagement on Mediation Analysis using Chronic Stress as Explanatory variable.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2022
Same author

Forecasting stress, mood, and health from daytime physiology in office workers and students.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2020
Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
See all related articles

Related Experiment Video

Updated: Aug 29, 2025

A Community-based Stress Management Program: Using Wearable Devices to Assess Whole Body Physiological Responses in Non-laboratory Settings
10:45

A Community-based Stress Management Program: Using Wearable Devices to Assess Whole Body Physiological Responses in Non-laboratory Settings

Published on: January 22, 2018

7.7K

Development of a Real-time Chronic Stress Visualization System from Long-term Physiological Data.

Tasuku Kitade, Masanori Tsujikawa

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |September 10, 2022
    PubMed
    Summary
    This summary is machine-generated.

    We created a real-time system using wearable sensors and a smartphone app to estimate chronic stress from physiological data. This efficient system processes data daily, providing immediate stress level insights.

    More Related Videos

    Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students
    12:51

    Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students

    Published on: June 16, 2018

    7.6K
    Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment
    08:25

    Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment

    Published on: December 6, 2024

    502

    Related Experiment Videos

    Last Updated: Aug 29, 2025

    A Community-based Stress Management Program: Using Wearable Devices to Assess Whole Body Physiological Responses in Non-laboratory Settings
    10:45

    A Community-based Stress Management Program: Using Wearable Devices to Assess Whole Body Physiological Responses in Non-laboratory Settings

    Published on: January 22, 2018

    7.7K
    Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students
    12:51

    Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students

    Published on: June 16, 2018

    7.6K
    Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment
    08:25

    Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment

    Published on: December 6, 2024

    502

    Area of Science:

    • Physiological computing
    • Wearable technology
    • Stress monitoring

    Background:

    • Chronic stress significantly impacts health and well-being.
    • Accurate, real-time stress assessment is crucial for timely intervention.
    • Existing methods often lack real-time capabilities or are computationally intensive.

    Purpose of the Study:

    • To develop a real-time system for estimating and displaying chronic stress levels.
    • To enable daily, on-demand assessment of chronic stress using long-term physiological data.
    • To create an efficient system with reduced memory and processing requirements.

    Main Methods:

    • Utilized wearable sensors to collect physiological data.
    • Developed a smartphone application for data reception and stress level display.
    • Implemented a cloud-based system for real-time stress estimation.
    • Employed data subdivision and feature combination for efficient processing.

    Main Results:

    • The developed system provides real-time estimation and display of chronic stress levels.
    • Achieved significant reductions in memory usage (1/600) and processing time (1/20) compared to conventional methods.
    • Successfully handles irregularly uploaded physiological data of varying sizes.

    Conclusions:

    • The novel system offers an efficient and real-time solution for monitoring chronic stress.
    • This technology has potential applications in personalized health management and early stress detection.
    • The optimized processing approach enables practical, daily stress level assessment.