Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Stress Response System

Stress Response System

The stress response system, also known as the fight-or-flight response, is the body's automatic physiological reaction to perceived threats. Hans Selye introduced the concept of General Adaptation Syndrome (GAS) to describe the predictable pattern of changes that occur in response to stress. GAS consists of three sequential stages: alarm, resistance, and exhaustion. This model helps explain how chronic stress can contribute to health problems.
Alarm stage
In the alarm stage, the body's initial...

Physiological Foundation of Stress

Physiological Foundation of Stress

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...

Stress Prevention and Stress Management Techniques IV

Stress Prevention and Stress Management Techniques IV

Stress often leads to unhealthy habits like smoking, excessive drinking, and overeating, which offer short-term relief but ultimately increase long-term health risks. These behaviors create a cycle that temporarily lowers stress levels but can result in severe long-term health consequences. Breaking these habits is essential to reduce the risk of chronic diseases and improve overall well-being. Three primary changes that support better health include quitting smoking, reducing alcohol intake,...

Stress Prevention and Stress Management Techniques VI

Stress Prevention and Stress Management Techniques VI

Adopting a healthier lifestyle often requires overcoming significant challenges, but leveraging psychological, social, and cultural resources can facilitate meaningful change. Effective self-change hinges on understanding and applying key tools such as motivation and goal setting, which help sustain efforts toward long-term health benefits.
Motivation and Self-Determination
Motivation, the driving force behind behavior, plays a pivotal role at every stage of the change process. The research...

Stress Prevention and Stress Management Techniques II

Stress Prevention and Stress Management Techniques II

Personality types, particularly Type A and Type B, significantly influence how individuals respond to stress. These personality distinctions are marked by varying levels of ambition, competitiveness, and coping styles, all of which shape an individual's resilience to stressors.
Type A Personality: Driven and Easily Stressed
Individuals with Type A personalities are often highly competitive and ambitious and operate with a strong sense of urgency. Commonly labeled as "workaholics," they...

Stress Prevention and Stress Management Techniques III

Stress Prevention and Stress Management Techniques III

Regular exercise and meditation serve as essential tools in managing stress and promoting physical and mental well-being.
The Role of Exercise in Stress Management
Regular physical activity is essential for reducing stress and promoting cardiovascular health. Exercise strengthens the heart, enhances blood flow, keeps blood vessels flexible, and helps lower blood pressure, all of which reduce the body's stress response. Research shows that adults who exercise regularly have nearly half the risk...

You might also read

Related Articles

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

Sort by

Same author

Kisspeptin-10/basal LH ratio improves differentiation of central precocious puberty and premature thelarche.

Clinica chimica acta; international journal of clinical chemistry·2026

Same author

Enhancing screening, early diagnosis and treatment initiation of oral, breast and cervical cancer in selected districts of India: an implementation research protocol.

BMJ open·2026

Same author

Cost-effectiveness of using Intravenous Ferric Carboxymaltose compared to Intravenous Iron Sucrose for treatment of iron deficiency anemia in pregnancy.

Health economics review·2026

Same author

Racial/ethnic disparities in neighborhood physical activity environments: Comparing Native Hawaiian and Other Pacific Islander and Asian Americans in the United States.

SSM - population health·2026

Same author

'Ghya Bharaari Ekatra': study protocol for a cluster randomized trial to evaluate a couples-based intervention for the primary prevention of intimate partner violence in India.

BMC public health·2026

Same author

Measuring marital choice as an indicator of women's marital agency in rural India.

Contraception and reproductive medicine·2026

Search research articles

Related Experiment Video

Updated: Jun 8, 2026

Psychophysiological Stress Assessment Using Biofeedback

Psychophysiological Stress Assessment Using Biofeedback

Published on: July 31, 2009

A multi-module case-based biofeedback system for stress treatment.

Mobyen Uddin Ahmed¹, Shahina Begum, Peter Funk

¹School of Innovation, Design and Engineering, Mälardalen University, Västerås, Sweden. mobyen.ahmed@mdh.se

Artificial Intelligence in Medicine

|October 16, 2010

Summary

This summary is machine-generated.

This study introduces a computer-assisted biofeedback system using case-based reasoning to aid clinicians in classifying patients and setting parameters for stress treatment. The system demonstrated superior performance compared to trainee clinicians in a case study.

More Related Videos

The use of Biofeedback in Clinical Virtual Reality: The INTREPID Project

The use of Biofeedback in Clinical Virtual Reality: The INTREPID Project

Published on: November 12, 2009

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

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

Published on: January 22, 2018

Related Experiment Videos

Last Updated: Jun 8, 2026

Psychophysiological Stress Assessment Using Biofeedback

Psychophysiological Stress Assessment Using Biofeedback

Published on: July 31, 2009

The use of Biofeedback in Clinical Virtual Reality: The INTREPID Project

The use of Biofeedback in Clinical Virtual Reality: The INTREPID Project

Published on: November 12, 2009

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

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

Published on: January 22, 2018

Area of Science:

Biomedical Engineering
Computational Psychology

Background:

Biofeedback is an established treatment for physical and psychological issues, but complex areas like stress management require significant clinical experience.
Less experienced clinicians face challenges in accurate patient classification and treatment parameter setting, often lacking expert guidance.

Purpose of the Study:

To develop and validate a computer-assisted biofeedback system to support clinicians in patient classification, parameter setting, and biofeedback training.
To address the complexity of biofeedback applications, particularly in stress management, by leveraging technology to assist less experienced practitioners.

Main Methods:

A decision support system (DSS) was developed, analyzing finger temperature time series data and extracting features using derivatives.
Case-based reasoning (CBR) was implemented in three modules for patient classification, parameter estimation, and biofeedback, retrieving similar past cases.
Similarity was calculated using a modified distance function, similarity matrix, and fuzzy similarity methods.

Main Results:

The case-based biofeedback system was validated in a case study focused on stress management.
The system successfully assisted in patient classification, parameter setting, and biofeedback training.

Conclusions:

The developed computer-assisted biofeedback system, utilizing case-based reasoning, shows promise in enhancing clinical decision-making for biofeedback therapy.
The system outperformed trainee clinicians in a stress management case study, indicating its potential to improve the quality and accessibility of biofeedback treatment.