Related Experiment Video

Updated: Aug 15, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.6K

Using machine learning to extract cognitive status from the sleep EEG in progressing stages of dementia: defining

Korey Kam1, Ankit Parekh1, Sajila Wickramaratne1

  • 1Mount Sinai Integrative Sleep Center, Division of Pulmonary, Critical Care, and Sleep Medicine, and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Sleep
|December 31, 2022
PubMed
Abstract

No abstract available in PubMed .

More Related Videos

Multi-Modal Home Sleep Monitoring in Older Adults07:40

Multi-Modal Home Sleep Monitoring in Older Adults

Published on: January 26, 2019

7.7K
Author Spotlight: IntelliSleepScorer — A High-Accuracy, Accessible GUI Software for Automated Sleep Stage Scoring in Mice and its Application in Psychiatric Research04:54

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

604

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...
414