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

Automatic sleep EEG analysis using filter banks.

C Berthomier1, J Prado, O Benoit

  • 1E.N.S.T., 46 rue Barrault, 75013 Paris, France. bertho@tsi.enst.fr

Biomedical Sciences Instrumentation
|January 6, 2001
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

Inguinal lymph node dissection.

Journal of visceral surgery·2023
Same author

New host and geographical records for <i>Parafilaroides normani</i> (Nematoda: Filaroididae) Dailey, 2009 in South American fur seal, <i>Arctocephalus australis</i>, from southern Brazil.

Journal of helminthology·2020
Same author

Athletic pubalgia: Return to play after targeted surgery.

Orthopaedics & traumatology, surgery & research : OTSR·2018
Same author

[IDEM-depression: Characteristics and evaluation of an open group that combines psychoeducation and cognitive-behavior therapy].

L'Encephale·2016
Same author

Segmental Maternal UPD6 with Prenatal Growth Restriction.

Molecular syndromology·2013
Same author

Non-compliance does not impair qualitative evaluation of colonic transit time.

Neurogastroenterology and motility·2010
Same journal

EFFECT OF FILTERING KINEMATICS ON FINITE ELEMENT SIMULATIONS OF HEAD IMPACTS IN HIGH SCHOOL FEMALE LACROSSE.

Biomedical sciences instrumentation·2026
Same journal

INHIBITING THE INHIBITOR: WOULD TARGETING PAI-1 RESULT IN A LOW-DOSE, WELL-TOLERATED TREATMENT OF EMPYEMA?

Biomedical sciences instrumentation·2026
Same journal

QUANTIFYING HEAD IMPACT EXPOSURE, MECHANISMS AND KINEMATICS USING INSTRUMENTED MOUTHGUARDS IN MALE HIGH SCHOOL LACROSSE.

Biomedical sciences instrumentation·2026
Same journal

UTILITY OF CHEST ULTRASONOGRAPHY IN QUANTIFYING CLOT AND PLEURAL EFFUSION VOLUME IN PRECLINICAL MODELS OF PLEURAL DISEASE.

Biomedical sciences instrumentation·2026
Same journal

THE ROLE OF PERIPHERAL VISION IN ENHANCING BALANCE AND POSTURAL STABILITY: INSIGHTS FROM CENTRAL VISION OBSTRUCTION.

Biomedical sciences instrumentation·2025
Same journal

IMPACT OF NON-SKID SOCKS AND ANTERIOR WEIGHT ON POSTURAL RESPONSE AND STABILITY DURING PERTURBATION.

Biomedical sciences instrumentation·2025
See all related articles

This study introduces non-uniform oversampled filter banks for analyzing sleep electroencephalogram (EEG) signals. This method enables automatic hypnogram generation by analyzing EEG rhythms and preserving temporal information.

Area of Science:

  • Neuroscience
  • Signal Processing
  • Biomedical Engineering

Background:

  • Sleep electroencephalogram (EEG) analysis is crucial for diagnosing sleep disorders.
  • Traditional methods for EEG analysis can be computationally intensive.
  • Accurate detection of sleep stages is essential for patient care.

Purpose of the Study:

  • To develop an efficient and accurate method for sleep EEG analysis.
  • To implement a filter bank approach for detecting sleep stages automatically.
  • To preserve temporal information in EEG signals for improved analysis.

Main Methods:

  • Utilized non-uniform oversampled filter banks for single-channel sleep EEG analysis.
  • Designed subbands to correspond with classical EEG rhythms (e.g., delta, theta, alpha, beta).

Related Experiment Videos

  • Employed oversampling techniques to maintain temporal shape information within the signal.

    • Main Results:

    • The proposed filter bank method effectively analyzes sleep EEG signals.
    • The different subbands successfully matched classical EEG rhythms.
    • Coupling information from various outputs enabled automatic hypnogram generation.

    Conclusions:

    • Non-uniform oversampled filter banks offer an efficient computational approach for time-scale methods in EEG analysis.
    • This technique is well-suited for detecting both short events and large waveforms in sleep EEG.
    • The developed method provides a viable solution for automatic hypnogram generation, improving sleep staging accuracy.