• HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
Saturday, August 9, 2025
BIOENGINEER.ORG
No Result
View All Result
  • Login
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
No Result
View All Result
Bioengineer.org
No Result
View All Result
Home NEWS Science News Health

New neural network enables easy screening of sleep apnoea in patients with cerebrovascular disease

Bioengineer by Bioengineer
January 26, 2021
in Health
Reading Time: 3 mins read
0
Share on FacebookShare on TwitterShare on LinkedinShare on RedditShare on Telegram

IMAGE

Credit: UEF / Raija Törrönen

A new neural network developed by researchers at the University of Eastern Finland and Kuopio University Hospital enables an easy and accurate assessment of sleep apnoea severity in patients with cerebrovascular disease. The assessment is automated and based on a simple nocturnal pulse oximetry, making it possible to easily screen for sleep apnoea in stroke units.

Up to 90% of patients experiencing a stroke have sleep apnoea, according to earlier studies conducted at Kuopio University Hospital. If left untreated, sleep apnoea can reduce the quality of life and rehabilitation of patients with stroke and increase the risk for recurrent cerebrovascular events.

“Although screening of sleep apnoea is recommended for patients with cerebrovascular disease, it is rarely done in stroke units due to complicated measurement devices, time-consuming manual analysis, and high costs,” Researcher Akseli Leino from the University of Eastern Finland says.

In the new study, researchers developed a neural network to assess the severity of sleep apnoea in patients with acute stroke and transient ischaemic attack (TIA) by using a simple nocturnal oxygen saturation signal. The apnoea-hypopnea index, which represents the number of apnoea and hypopnea events per hour, is commonly used in the diagnostics of sleep apnoea. When the researchers compared the results of manual scoring and those obtained using the new neural network, the median difference was only 1.45 events per hour. The neural network was also 78% accurate in classifying patients into four different categories on the basis of sleep apnoea severity (no sleep apnoea, mild, moderate, severe). The neural network was able to identify moderate and severe sleep apnoea, both of which require treatment, in patients with acute stroke or TIA with a 96% specificity and a 92% sensitivity.

“The neural network developed in the study enables an easy and cost-effective screening of sleep apnoea in patients with cerebrovascular disease in hospital wards and stroke units. The nocturnal oxygen saturation signal can be recorded with a simple finger pulse oximetry measurement, with no time-consuming manual analysis required,” Medical Physicist Katja Myllymaa from Kuopio University Hospital points out.

###

The study was conducted in collaboration between the Department of Clinical Neurophysiology and the Department of Neurology at Kuopio University Hospital, and the Department of Applied Physics at the University of Eastern Finland. The study was funded by the Academy of Finland, Business Finland, Kuopio University Hospital, the Finnish Cultural Foundation, Kuopio Area Respiratory Foundation, the Research Foundation of the Pulmonary Diseases, the Finnish Anti-Tuberculosis Association Foundation, Päivikki & Sakari Sohlberg Foundation, Paulo Foundation, and Tampere Tuberculosis Foundation.

For further information, please contact:

Early Stage Researcher Akseli Leino, MSc (Tech), [email protected]

Docent, Medical Physicist Katja Myllymaa, PhD, [email protected]

Research article:

Leino A, Nikkonen S, Kainulainen S, Korkalainen H, Töyräs J, Myllymaa S, Leppänen T, Ylä-Herttuala S, Westeren-Punnonen S, Muraja-Murro A, Jäkälä P, Mervaala E, Myllymaa K. Neural network analysis of nocturnal SpO2 signal enables easy screening of sleep apnea in patients with acute cerebrovascular disease. Sleep Med 2020;79. https://doi.org/10.1016/j.sleep.2020.12.032

Media Contact
Akseli Leino
[email protected]

Related Journal Article

http://dx.doi.org/10.1016/j.sleep.2020.12.032

Tags: Medicine/HealthRobotry/Artificial IntelligenceTechnology/Engineering/Computer Science
Share12Tweet8Share2ShareShareShare2

Related Posts

blank

Non-Coding Lung Cancer Genes Found in 13,722 Chinese

August 9, 2025
blank

DeepISLES: Clinically Validated Stroke Segmentation Model

August 9, 2025

Mitochondrial Metabolic Shifts Fuel Colorectal Cancer Resistance

August 9, 2025

Cholesterol Balance Drives Recovery After Revascularization

August 9, 2025
Please login to join discussion

POPULAR NEWS

  • blank

    Molecules in Focus: Capturing the Timeless Dance of Particles

    137 shares
    Share 55 Tweet 34
  • Neuropsychiatric Risks Linked to COVID-19 Revealed

    77 shares
    Share 31 Tweet 19
  • Overlooked Dangers: Debunking Common Myths About Skin Cancer Risk in the U.S.

    61 shares
    Share 24 Tweet 15
  • Modified DASH Diet Reduces Blood Sugar Levels in Adults with Type 2 Diabetes, Clinical Trial Finds

    55 shares
    Share 22 Tweet 14

About

We bring you the latest biotechnology news from best research centers and universities around the world. Check our website.

Follow us

Recent News

Non-Coding Lung Cancer Genes Found in 13,722 Chinese

Unraveling Mitophagy in Bronchopulmonary Dysplasia

Sericin Silver Nanoparticles Combat Colorectal Cancer Effectively

  • Contact Us

Bioengineer.org © Copyright 2023 All Rights Reserved.

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • Homepages
    • Home Page 1
    • Home Page 2
  • News
  • National
  • Business
  • Health
  • Lifestyle
  • Science

Bioengineer.org © Copyright 2023 All Rights Reserved.