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Related Concept Videos

Regulation of Heart Rates01:31

Regulation of Heart Rates

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The regulation of heart rate is a complex process controlled by the autonomic nervous system (ANS), hormonal influences, and intrinsic cardiac mechanisms. The ANS has two main components: the sympathetic nervous system (SNS) and the parasympathetic nervous system (PNS).
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The Resting Membrane Potential01:21

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Resting Membrane Potential01:24

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The relative difference in electrical charge, or voltage, between the inside and the outside of a cell membrane, is called the membrane potential. It is generated by differences in permeability of the membrane to various ions and the concentrations of these ions across the membrane.
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The resting membrane potential of a neuron (-70mV) is sustained due to the selective ion permeability of the membrane. At the resting potential, the membrane is slightly permeable to ions like sodium (Na+) and chloride (Cl−) and highly permeable to potassium ions (K+). Differences in the ions' concentration inside the cell compared to the outside are maintained by membrane transport proteins like channels and pumps.
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Related Experiment Video

Updated: Feb 3, 2026

Evaluation of Commercial-Off-The-Shelf Wrist Wearables to Estimate Stress on Students
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Wearable Motion-Based Heart Rate at Rest: A Workplace Evaluation.

Javier Hernandez, Daniel McDuff, Karen Quigley

    IEEE Journal of Biomedical and Health Informatics
    |November 3, 2018
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    Summary

    Low-cost motion sensors can opportunistically assess heart rate using ballistocardiographic signals during rest. Head-mounted sensors provided the most accurate resting heart rate estimations in a real-world workplace study.

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    Area of Science:

    • Biomedical Engineering
    • Wearable Technology
    • Physiological Monitoring

    Background:

    • Resting heart rate monitoring is crucial for cardiovascular health assessment.
    • Current methods often require specialized equipment or controlled conditions.
    • Opportunistic sensing offers a scalable approach to continuous physiological data collection.

    Purpose of the Study:

    • To evaluate the feasibility of using low-cost motion sensors for opportunistic heart rate estimation.
    • To compare the accuracy of heart rate detection from ballistocardiographic signals captured by different wearable devices.
    • To assess the potential for large-scale, low-cost resting heart rate monitoring.

    Main Methods:

    • Utilized three wearable motion sensor devices (head, wrist, pocket) on 15 participants over five workdays.
    • Collected 1358 hours of naturalistic sensor data during daily life activities.
    • Implemented and compared three heart rate extraction algorithms against an FDA-cleared device, using device jerk for accuracy detection.

    Main Results:

    • Accurate heart rate estimations are possible from peripheral motion signals during "still" moments.
    • The head-mounted device achieved the highest frequency of accurate assessments (22.98% within 5 bpm error).
    • Smartphone (pocket) and wrist-worn devices showed lower accuracy rates (5.02% and 3.48%, respectively).

    Conclusions:

    • Low-cost motion sensors demonstrate feasibility for opportunistic resting heart rate monitoring.
    • Head-mounted sensors show promise for more frequent and accurate assessments.
    • This approach enables large-scale, cost-effective collection of resting heart rate data.