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Related Concept Videos

Pulse rhythm01:30

Pulse rhythm

749
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
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Related Experiment Video

Updated: May 24, 2025

Multi-Modal Home Sleep Monitoring in Older Adults
07:40

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

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Unobtrusive Sleep Health Assessment Using Impulse Radar: A Pilot Study in Older People.

Maowen Yin, Charalambos Hadjipanayi, Kiran K G Ravindran

    IEEE Transactions on Bio-Medical Engineering
    |March 6, 2025
    PubMed
    Summary

    Ultra-wideband (UWB) radar effectively monitors sleep in older adults, including those with neurodegenerative disorders. This non-contact technology offers a cost-effective alternative for in-home sleep assessment.

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    Area of Science:

    • Biomedical Engineering
    • Gerontology
    • Neuroscience

    Background:

    • Ultra-wideband (UWB) radar is a promising technology for portable, cost-effective in-home monitoring.
    • Existing sleep monitoring research primarily involves younger, healthy individuals.
    • Older adults and those with neurodegenerative disorders (NDDs) require tailored sleep assessment solutions.

    Purpose of the Study:

    • To evaluate the effectiveness of commercial impulse UWB radar for sleep monitoring in older adults.
    • To assess UWB radar's applicability in individuals with prodromal or mild Alzheimer's disease.
    • To compare UWB radar sleep monitoring with polysomnography (PSG) in a clinical setting.

    Main Methods:

    • Overnight sleep trials involving 47 older participants (18 with NDDs) using both PSG and UWB radar.
    • Multivariate empirical mode decomposition (MEMD) for reconstructing cardiopulmonary and limb movement data from radar signals.
    • Sequence-to-sequence neural network for sleep stage classification, incorporating uncertainty quantification.

    Main Results:

    • High accuracy in detecting body movements, reconstructing respiration, and monitoring heart rate.
    • Achieved a Kappa coefficient of 0.63 and 74.4% average accuracy for sleep stage classification (wake, REM, light, deep).
    • Demonstrated reliable monitoring of physiological changes during sleep.

    Conclusions:

    • UWB radar provides a reliable method for monitoring physiological changes during sleep in older adults.
    • The technology shows potential as a cost-effective, non-intrusive alternative to traditional sleep monitoring devices.
    • UWB radar is a viable tool for advancing sleep assessment in elderly populations and those with NDDs.