Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Understanding Sleep

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...

Sleepwalking and Sleep Talking

Sleepwalking and Sleep Talking

Somnambulism, commonly known as sleepwalking, involves individuals engaging in activities ranging from simple walking to more complex behaviors such as driving. Sleepwalking typically occurs during the slow-wave sleep stages 3 and 4 early in the night when the person is not dreaming, contradicting the myth that sleepwalkers are acting out their dreams.
Factors that increase the likelihood of sleepwalking include sleep deprivation and alcohol consumption. Contrary to common beliefs, it is safe...

Sleep Apnea

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...

Substance Use Disorders Affecting Sleep

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,...

REM Sleep Behavior Disorder

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...

Sleep-Wake Cycles

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:

You might also read

Related Articles

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

Sort by

Same author

Comparison of the properties of two-dimensional and three-dimensional percolating networks of nanoparticles.

Physical review. E·2025

Same author

Barracuda: a dynamic, Turing-complete GPU virtual machine for high-performance simulations.

Medical & biological engineering & computing·2025

Same author

Complexity of brain-like signals in self-organised nanoscale networks.

Neural networks : the official journal of the International Neural Network Society·2025

Same author

Conscious but not thinking-Mind-blanks during visuomotor tracking: An fMRI study of endogenous attention lapses.

Human brain mapping·2024

Same author

Cerebral perfusion is not impaired in persons with moderate obstructive sleep apnoea when awake.

Sleep & breathing = Schlaf & Atmung·2024

Same author

Experimental Demonstration of Reservoir Computing with Self-Assembled Percolating Networks of Nanoparticles.

Advanced materials (Deerfield Beach, Fla.)·2024

Search research articles

Related Experiment Video

Updated: Mar 1, 2026

Multi-Modal Home Sleep Monitoring in Older Adults

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

A software framework for real-time multi-modal detection of microsleeps.

Simon J Knopp^1,2, Philip J Bones³, Stephen J Weddell³

¹Department of Electrical and Computer Engineering, University of Canterbury, Christchurch, New Zealand. simon.knopp@nzbri.org.

Australasian Physical & Engineering Sciences in Medicine

|June 3, 2017

Summary

This summary is machine-generated.

This study introduces a real-time software framework for early microsleep detection using EEG, eye, and head movement data. The open-source tool aids in preventing accidents and monitoring cognitive states.

Keywords:

Biosignals Cognitive monitoring Multi-modal Real-time Software framework

More Related Videos

Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research

Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research

Published on: November 8, 2024

Design and Analysis for Fall Detection System Simplification

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

Related Experiment Videos

Last Updated: Mar 1, 2026

Multi-Modal Home Sleep Monitoring in Older Adults

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research

Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research

Published on: November 8, 2024

Design and Analysis for Fall Detection System Simplification

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

Area of Science:

Biomedical Engineering
Computer Science
Neuroscience

Background:

Microsleeps pose significant risks, especially in transportation.
Real-time monitoring of physiological signals is crucial for safety and cognitive state assessment.

Purpose of the Study:

To develop and present a flexible, real-time software framework for detecting microsleeps.
To enable the application of various signal processing techniques for cognitive state monitoring.
To provide an open-source platform for research and development in physiological monitoring.

Main Methods:

A modular, pipeline-based software architecture processing EEG, eye-tracking, and head movement data.
User-replaceable signal processing modules supporting C++ and Python plugins.
Graphical user interface for data management and real-time visualization.

Main Results:

Demonstrated framework capabilities in monitoring eye closure and detecting simulated microsleeps.
Validated the framework's adaptability for diverse signal processing and feature extraction.
Confirmed the potential for multi-modal physiological monitoring in various medical fields.

Conclusions:

The developed software framework effectively facilitates real-time microsleep detection and cognitive state monitoring.
The open-source, modular design promotes broad applicability in research and clinical settings.
The framework offers a versatile platform for advancing physiological monitoring and accident prevention technologies.