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Related Concept Videos

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The heart rate, or pulse rate, is a vital indicator of cardiovascular health. It reflects the number of times the heart beats per minute. Various physiological and environmental factors influence heart rate, increasing or decreasing cardiac output. Understanding these factors is crucial for assessing heart function and identifying potential health issues.
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Components of Stress01:23

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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.
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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...
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The concept of stress concentration is crucial for understanding how materials respond under bending stresses, particularly when there are irregularities or discontinuities in the material's geometry. Normally, stress in a symmetric member subjected to pure bending is assumed to be uniformly distributed across the entire cross-section. However, this assumption does not hold when there are variations in the cross-sectional geometry or the presence of notches and holes.
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Related Experiment Video

Updated: Dec 7, 2025

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students
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Heart rate variability features for different stress classification.

M K Moridani, Z Mahabadi, N Javadi

    Bratislavske Lekarske Listy
    |September 29, 2020
    PubMed
    Summary
    This summary is machine-generated.

    This study used electrocardiogram (ECG) signals and heart rate variability (HRV) analysis to identify stress types. A convolutional neural network achieved high accuracy, enabling stress detection and prevention of adverse heart effects.

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    Area of Science:

    • Physiology and Biomedical Engineering
    • Cardiovascular Health
    • Signal Processing

    Background:

    • Autonomic nervous system (ANS) activity influences electrocardiogram (ECG) signals during stress.
    • Understanding stress-induced cardiac changes is crucial for preventative health measures.
    • Previous research indicates a link between stress and heart rate variability (HRV).

    Purpose of the Study:

    • To recognize different types of stress by analyzing ECG signals.
    • To develop a method for preventing the physiological effects of stress on the heart.
    • To investigate the utility of HRV features in stress detection.

    Main Methods:

    • ECG signals were recorded from 20 students during stress and relaxation phases using wrist bracelets.
    • Linear and non-linear HRV features were extracted, including detrended fluctuation analysis (DFA), entropy, and recurrence plots.
    • Classifiers, including a convolutional neural network (CNN), were employed to identify stress types.

    Main Results:

    • Stress significantly altered HRV features, with decreased NN50, RMSSD, pNN50, and recurrence plot metrics, and increased DFA.
    • The CNN achieved 98% accuracy for cognitive stress and 94.5% for emotional stress detection.
    • Extracted HRV features demonstrated high significance in distinguishing stress from non-stress conditions.

    Conclusions:

    • HRV features effectively detect stress and non-stress stages with high statistical significance.
    • The proposed classification method, particularly using CNNs, is successful in identifying stress types.
    • This approach holds potential for preventing the adverse physiological effects of stress on the heart.