Paper Type

ERF

Abstract

Stress is a prevalent issue, impacting over half of the U.S. population daily, with long-term effects on mental and physical health. While stress can be difficult to quantify, electroencephalography (EEG) offers a promising biofeedback method for measuring stress levels by detecting electrical activity in the brain. Meditation, a widely accessible stress reduction technique, has been shown to promote relaxation and improve mental well-being. However, there is limited research on how meditation alters EEGs, particularly in relation to stress-related measures. This work examines the effects of diaphragmatic breathing meditation on mental stress levels using EEG measurements. By providing more objective data on meditation’s effectiveness in reducing stress and the usefulness of EEG as an effective biotechnology system for measuring stress, this research contributes to the growing field of biofeedback-based stress management. The findings may have implications for mental health, academic performance, and preventive care, offering a scientific basis for integrating meditation into stress-reduction strategies.

Paper Number

1453

Author Connect URL

https://authorconnect.aisnet.org/conferences/AMCIS2025/papers/1453

Comments

SIGHEALTH

Author Connect Link

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Aug 15th, 12:00 AM

Analyzing the Effects of Meditation on Mental Stress Levels with Electroencephalography

Stress is a prevalent issue, impacting over half of the U.S. population daily, with long-term effects on mental and physical health. While stress can be difficult to quantify, electroencephalography (EEG) offers a promising biofeedback method for measuring stress levels by detecting electrical activity in the brain. Meditation, a widely accessible stress reduction technique, has been shown to promote relaxation and improve mental well-being. However, there is limited research on how meditation alters EEGs, particularly in relation to stress-related measures. This work examines the effects of diaphragmatic breathing meditation on mental stress levels using EEG measurements. By providing more objective data on meditation’s effectiveness in reducing stress and the usefulness of EEG as an effective biotechnology system for measuring stress, this research contributes to the growing field of biofeedback-based stress management. The findings may have implications for mental health, academic performance, and preventive care, offering a scientific basis for integrating meditation into stress-reduction strategies.

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