Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

A transportable sleep recording system

B W Ellis, N J Randall, M W Johns

    Biomedical Engineering
    |July 1, 1976
    PubMed
    Summary
    This summary is machine-generated.

    Related Concept Videos

    You might also read

    Related Articles

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

    Sort by
    Same author

    The way we teach: how I did and how I should teach surgery.

    Medical teacher·2014
    Same author

    Assessment of F-RNA coliphage as a potential indicator of enteric virus contamination of hog carcasses.

    Journal of food protection·2012
    Same author

    Assessment of sutures for use in colonic surgery.

    Journal of the Royal Society of Medicine·2010
    Same author

    Doctoral students and the supervisor's role.

    British medical journal (Clinical research ed.)·2010
    Same author

    Confessions of a book-drunk.

    British medical journal·2010
    Same author

    The effect of pre-treatment and sonication of centrifugal ultrafiltration devices on virus recovery.

    Journal of virological methods·2009
    Same journal

    A Method for Automatic Calculation of the Diameter of a Pulsating Blood Vessel on Ultrasound Images in Video Stream Mode.

    Biomedical engineering·2023
    Same journal

    A Device for Transcutaneous Stimulation of the Diaphragm.

    Biomedical engineering·2023
    Same journal

    Medical Antennas for Microwave Radiothermometry of Biological Objects.

    Biomedical engineering·2023
    Same journal

    A Remote System for Monitoring the State of Health of People with Chronic Diseases and Predicting Periods of Exacerbation.

    Biomedical engineering·2023
    Same journal

    Ecology and Human Health: A Multidisciplinary Approach.

    Biomedical engineering·2023
    Same journal

    Constructional Features of a Multielectrode Electrocardiology Screening System.

    Biomedical engineering·2023
    See all related articles

    This study introduces a novel sleep monitoring system for hospital wards. The device records key physiological signals, automating analysis for efficient sleep assessment without patient or staff disturbance.

    Area of Science:

    • Biomedical Engineering
    • Sleep Medicine
    • Neuroscience

    Background:

    • Traditional sleep monitoring in clinical settings can be intrusive and labor-intensive.
    • Accurate and continuous sleep stage assessment is crucial for diagnosing and managing sleep disorders.
    • Existing methods often require specialized equipment and trained personnel, limiting bedside application.

    Purpose of the Study:

    • To develop and describe a non-invasive sleep monitoring system suitable for hospital ward use.
    • To automate the analysis of sleep data, including electroencephalogram (EEG) delta wave counting.
    • To provide a compressed, easily interpretable output of a full night's sleep recording.

    Main Methods:

    • The system integrates the recording of electroencephalogram (EEG), electro-oculogram (EOG), basal skin resistance (BSR), and galvanic skin response (GSR).

    Related Experiment Videos

  • Automated counting of EEG delta waves and plotting of their frequency histogram.
  • Data compression technique to reduce a full night's recording to a minimal paper length.

    • Main Results:

    • The described system effectively monitors sleep parameters in a hospital ward environment.
    • It minimizes disturbance to patients and healthcare staff.
    • Sleep data, including delta wave activity, is automatically processed and presented concisely.

    Conclusions:

    • The developed sleep monitoring system offers a practical and efficient solution for bedside sleep assessment.
    • Automated analysis and data compression enhance the usability of sleep recordings in clinical practice.
    • This technology has the potential to improve sleep disorder diagnosis and patient care in hospital settings.