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

You might also read

Related Articles

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

Sort by
Same author

The Effects of a Six-week Exercise Program on Heart Rate Variability in Adults with and Without Obstructive Sleep Apnea.

Sleep and biological rhythms·2026
Same author

Two years of COVID-19: persistently reduced well-being and increases in global psychopathology during the pandemic in a representative Austrian population-sample within the COH-FIT study.

Frontiers in psychiatry·2026
Same author

Negative symptoms in schizophrenia: Methodological challenges and emerging solutions for outcome measurement.

Neuroscience applied·2026
Same author

Expert Opinions on Postoperative Complications in Breast Cancer Surgery After Neoadjuvant Chemotherapy: A Descriptive Study Through Structured Interviews With Surgeons in Austria.

The breast journal·2026
Same author

Validation of a Machine Learning-Derived Algorithm for the Measurement of Facial First Impressions.

Aesthetic plastic surgery·2026
Same author

Defining Clinically Interpretable Glycemic Profiles Using Continuous Glucose Monitoring in Type 2 Diabetes.

Diabetes care·2026

Related Experiment Video

Updated: Apr 14, 2026

Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research
04:54

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

1.1K

Computer-Assisted Automated Scoring of Polysomnograms Using the Somnolyzer System.

Naresh M Punjabi1,2, Naima Shifa3, Georg Dorffner4

  • 1Department of Medicine, Johns Hopkins University Baltimore, MD.

Sleep
|April 24, 2015
PubMed
Summary

Automated polysomnogram scoring with the Somnolyzer system shows high agreement with manual scoring for key metrics like the apnea-hypopnea index. This automated approach offers a reliable alternative to time-consuming manual analysis in sleep medicine.

Keywords:
automated scoringpolysomnography

More Related Videos

Author Spotlight: Unveiling the Connection Between Sleep Disorders and Cognitive Symptoms in Depression
04:33

Author Spotlight: Unveiling the Connection Between Sleep Disorders and Cognitive Symptoms in Depression

Published on: April 26, 2024

1.7K
Multi-Modal Home Sleep Monitoring in Older Adults
07:40

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

8.4K

Related Experiment Videos

Last Updated: Apr 14, 2026

Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research
04:54

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

1.1K
Author Spotlight: Unveiling the Connection Between Sleep Disorders and Cognitive Symptoms in Depression
04:33

Author Spotlight: Unveiling the Connection Between Sleep Disorders and Cognitive Symptoms in Depression

Published on: April 26, 2024

1.7K
Multi-Modal Home Sleep Monitoring in Older Adults
07:40

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

8.4K

Area of Science:

  • Sleep Medicine
  • Medical Technology

Background:

  • Manual polysomnogram scoring is labor-intensive and time-consuming.
  • Automated scoring systems aim to improve efficiency and accuracy in sleep analysis.

Purpose of the Study:

  • To evaluate the validity of the Somnolyzer system for automated polysomnogram scoring.
  • To compare automated scoring results with traditional manual scoring methods.

Main Methods:

  • 97 sleep studies were analyzed.
  • Polysomnograms were scored manually by certified technologists and automatically by the Somnolyzer system.
  • Agreement was assessed using 2007 American Academy of Sleep Medicine criteria.

Main Results:

  • High agreement was found between manual and automated scoring for the apnea-hypopnea index (AHI), with correlations of 0.92 and 0.93.
  • Concordance was also substantial for arousal index, total sleep time, and sleep efficiency.
  • Differences were observed in the scoring of specific sleep stages (N1, N2, N3).

Conclusions:

  • The Somnolyzer system provides automated polysomnogram scoring comparable to manual methods for essential sleep medicine metrics.
  • Automated scoring agreement is similar to inter-scorer reliability among human experts.
  • Automated scoring platforms are a valuable addition to sleep medicine diagnostics, complementing manual scoring.