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 Concept Videos

Stages of Sleep01:22

Stages of Sleep

Sleep progresses through distinct stages, each characterized by specific brain wave patterns and physiological responses ranging from wakefulness to stages of non-rapid eye movement, known as non-REM, to rapid eye movement, referred to as REM. Understanding these stages helps in recognizing how sleep supports various bodily and cognitive functions.
Before sleep begins, in wakefulness, the brain exhibits primarily beta waves, which are high in frequency and low in amplitude, indicating alertness...
Sleep-Wake Cycles01:24

Sleep-Wake Cycles

Sleep is an essential physiological process vital to maintaining overall well-being. The reticular activating system (RAS), a network of neurons in the brainstem, regulates wakefulness and sleep. While it may seem passive, sleep consists of distinct cycles, each with its unique characteristics and functions. Two key sleep phases are non-rapid eye movement (NREM) and  rapid eye movement (REM).
NREM Sleep
NREM sleep comprises four progressive stages that seamlessly merge:
REM Sleep Behavior Disorder01:15

REM Sleep Behavior Disorder

REM Sleep Behavior Disorder (RBD) is a sleep disorder characterized by the absence of muscle paralysis that normally occurs during the REM phase of sleep. This absence allows individuals to physically act out their dreams, which are often vivid and disturbing. Common behaviors exhibited during episodes include kicking, punching, and yelling. These actions can be dangerous, potentially leading to injuries for the person with RBD or their bed partner.
RBD is significantly associated with...
Understanding Sleep01:11

Understanding Sleep

Sleep, an essential biological state, involves significant reductions in physical activity, sensory awareness, and interaction with the environment. This complex physiological process is primarily regulated by specific brain regions, notably the hypothalamus and pons, which govern the sleep-wake cycle or circadian rhythm.
The circadian rhythm, a nearly 24-hour cycle, is deeply influenced by environmental light cues. Light exposure directly affects the hypothalamus, which in turn regulates...
Substance Use Disorders Affecting Sleep01:24

Substance Use Disorders Affecting Sleep

Substance use disorders involve a pattern of using drugs more extensively than intended and continuing use despite harmful consequences. This includes legal substances like alcohol and nicotine, as well as illegal drugs. These disorders often involve both physical and psychological dependence, reflecting compulsive use of substances that significantly alter thoughts, feelings, and behaviors, contributing to a major public health issue.
Understanding the concepts of physical dependence,...
Sleep Apnea01:21

Sleep Apnea

Sleep apnea is a condition where breathing stops intermittently during sleep, often leading to significant health issues. Each episode can last from 10 to 20 seconds or more and is frequently accompanied by a brief arousal from sleep. This disturbance, largely unnoticed by the individual, can lead to severe daytime fatigue. Commonly, individuals seek help after being informed by their partners about loud snoring and noticeable breathing pauses during sleep.
The condition is more prevalent among...

You might also read

Related Articles

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

Sort by
Same author

Cuproptosis-Related Ferroptosis genes for Predicting Prognosis in kidney renal clear cell carcinoma.

European journal of medical research·2023
Same author

Microbial insights towards understanding the role of hydrochar in enhancing phenol degradation in anaerobic digestion.

Environmental pollution (Barking, Essex : 1987)·2023
Same author

Clinical effect of Danshen decoction in patients with heart failure: A systematic review and meta-analysis of randomized controlled trials.

PloS one·2023
Same author

Using a smartphone app in the measurement of posture-related pupil center shift on centration during corneal refractive surgery.

Frontiers in cell and developmental biology·2023
Same author

Impact of Apps as Assistive Devices for Visually Impaired Persons.

Annual review of vision science·2023
Same author

Clustering-Fusion Feature Selection Method in Identifying Major Depressive Disorder Based on Resting State EEG Signals.

IEEE journal of biomedical and health informatics·2023
Same journal

Sensitivity Analyses of a Scoring System for a Contraception Decision Aid.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Improving electronic health record processing of large language models via retrieval-augmented generation: A case study on dietary supplements.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Developing a User-Centered Mobile Application Prototype: Bridging Lower-Limb Fracture Care from Skilled Nursing Facility and Back to the Community.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Automating Adjudication of Cardiovascular Events Using Large Language Models.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Predictive Factors and State-Level Barriers to Postpartum Birth Control Usage in the United States: Insights from PRAMS Phase 8.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
See all related articles

Related Experiment Video

Updated: Jul 2, 2026

IntelliSleepScorer, a Software Package with a Graphic User Interface for Mice Automated Sleep Stage Scoring
04:54

IntelliSleepScorer, a Software Package with a Graphic User Interface for Mice Automated Sleep Stage Scoring

Published on: November 8, 2024

Subject-adaptive real-time sleep stage classification based on conditional random field.

Gang Luo1, Wanli Min

  • 1IBM T.J. Watson Research Center, Hawthorne, NY, USA. luog@us.ibm.com

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|August 13, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces an advanced automatic sleep stager using electroencephalogram (EEG) signals. The system achieves high accuracy in sleep stage classification, improving upon existing methods and adapting to new subjects with limited data.

More Related Videos

Polygraphic Recording Procedure for Measuring Sleep in Mice
08:45

Polygraphic Recording Procedure for Measuring Sleep in Mice

Published on: January 25, 2016

Related Experiment Videos

Last Updated: Jul 2, 2026

IntelliSleepScorer, a Software Package with a Graphic User Interface for Mice Automated Sleep Stage Scoring
04:54

IntelliSleepScorer, a Software Package with a Graphic User Interface for Mice Automated Sleep Stage Scoring

Published on: November 8, 2024

Polygraphic Recording Procedure for Measuring Sleep in Mice
08:45

Polygraphic Recording Procedure for Measuring Sleep in Mice

Published on: January 25, 2016

Area of Science:

  • Neuroscience
  • Computer Science
  • Biomedical Engineering

Background:

  • Sleep staging is vital for diagnosing sleep disorders and developing brain-machine interfaces.
  • Accurate sleep stage classification relies on analyzing electroencephalogram (EEG) signals.
  • Existing sleep staging systems have limitations in accuracy and adaptability.

Purpose of the Study:

  • To develop an automatic, online sleep stager using EEG signals.
  • To improve classification accuracy compared to existing systems.
  • To enable subject adaptation for enhanced performance with limited data.

Main Methods:

  • Utilized a conditional random field (CRF) statistical pattern recognition method.
  • Developed novel potential functions with explicit physical meanings for the CRF model.
  • Implemented a subject adaptation technique using knowledge from previously trained subjects.

Main Results:

  • The automatic sleep stager achieved classification accuracy close to the theoretical limit.
  • The system demonstrated an 8% improvement in accuracy over existing sleep staging systems.
  • Even without new subject data, the stager achieved 70% accuracy on new subjects, improving with more data.

Conclusions:

  • The developed automatic sleep stager is highly accurate and efficient for sleep analysis.
  • Subject adaptation significantly enhances classification performance for new individuals.
  • This approach advances automated sleep analysis and its clinical applications.