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

You might also read

Related Articles

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

Sort by

Same author

Toward Precision Electrochemical Sensing of CFTR Function in Cystic Fibrosis Models.

Analytical chemistry·2026

Same author

Electrochemical liquid biopsy across cancer care pathway.

The journal of liquid biopsy·2026

Same author

Dual Paper-Based Electrochemical Device for Multiplex Detection of Triple-Negative Breast Cancer miRNA Signatures.

Analytical chemistry·2026

Same author

Transatrial left-ventricular cannulation for a shaggy aorta in aortic arch surgery: a case report.

General thoracic and cardiovascular surgery cases·2026

Same author

Method for Selective REM Sleep Deprivation using The Selective Nose Flicking for Forgetting REM (SNiFFer).

Journal of visualized experiments : JoVE·2026

Same author

[Staged Endovascular Aortic Repair for Thoracoabdominal and Aortic Arch Aneurysms].

Kyobu geka. The Japanese journal of thoracic surgery·2026

Same journal

A tri-axis optomechanical accelerometer with plasmonic MIM waveguide and structural direction-dependent optical signatures.

Scientific reports·2026

Same journal

Holographic leaky-wave antennas with independently controlled multiple counter-rotating vortex beams.

Scientific reports·2026

Same journal

Differential associations of longitudinal hearing and vision trajectories with dementia and mild cognitive impairment in older adults.

Scientific reports·2026

Same journal

Abdominal obesity and leisure-time sedentary behavior in relation to gastroesophageal reflux disease risk: a prospective cohort study from the UK Biobank.

Scientific reports·2026

Same journal

Effect of nitrogen-rich COF incorporation on the structure and separation performance of polyamide nanofiltration membranes.

Scientific reports·2026

Same journal

Withanolide A inhibits hIAPP aggregation: An In silico, biophysical, and drosophila-based In vivo validation.

Scientific reports·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Nov 4, 2025

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

Real-time, automatic, open-source sleep stage classification system using single EEG for mice.

Taro Tezuka¹, Deependra Kumar², Sima Singh²

¹Faculty of Library, Information and Media Science/Center for Artificial Intelligence Research (C-AIR), University of Tsukuba, Tsukuba, Japan. tezuka@slis.tsukuba.ac.jp.

Scientific Reports

|May 28, 2021

Summary

This summary is machine-generated.

We created a real-time sleep classification system using mouse EEG data. This scalable system achieves high accuracy, enabling targeted interventions for sleep research and disorders.

More Related Videos

Polygraphic Recording Procedure for Measuring Sleep in Mice

Polygraphic Recording Procedure for Measuring Sleep in Mice

Published on: January 25, 2016

Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice

Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice

Published on: August 2, 2017

Related Experiment Videos

Last Updated: Nov 4, 2025

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

Polygraphic Recording Procedure for Measuring Sleep in Mice

Polygraphic Recording Procedure for Measuring Sleep in Mice

Published on: January 25, 2016

Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice

Quantifying Infra-slow Dynamics of Spectral Power and Heart Rate in Sleeping Mice

Published on: August 2, 2017

Area of Science:

Neuroscience
Computational Biology
Sleep Science

Background:

Accurate sleep stage classification is crucial for understanding sleep functions and disorders.
Current methods often require complex multi-channel recordings and manual analysis, limiting scalability.
Real-time, automated classification systems are needed for advanced sleep research and therapeutic interventions.

Purpose of the Study:

To develop a novel, real-time sleep stage classification system using minimal data.
To enable automatic, targeted interventions during specific sleep stages, particularly REM sleep.
To create a scalable and adaptable system for broad research applications.

Main Methods:

Utilized a convolutional neural network (CNN) with a single-channel electroencephalogram (EEG) from mice.
Incorporated a long short-term memory (LSTM) recurrent neural network to process historical subject data.
Employed universally available time-series features: raw signal, spectrum, and zeitgeber time.

Main Results:

Achieved 90% overall accuracy and 81% multi-class Matthews Correlation Coefficient (MCC).
Demonstrated high performance in classifying rapid eye movement (REM) sleep (91% sensitivity, 98% specificity).
System (UTSN-L) eliminates the need for pre-calibration, electromyogram (EMG) recording, and manual scoring.

Conclusions:

The developed system (UTSN-L) offers a scalable, accurate, and automated solution for real-time sleep stage classification.
Enables precise, real-time interventions during REM sleep, facilitating research into its functions.
Open-source availability and user-friendly interface promote widespread adoption for sleep research and therapeutic development.