AIMC Topic: Restless Legs Syndrome

Clear Filters Showing 1 to 4 of 4 articles

Detection of cortical arousals in sleep using multimodal wearable sensors and machine learning.

Scientific reports Dec 18, 2025
Cortical arousals are brief brain activations that disrupt sleep continuity and contribute to cardiovascular, cognitive, and behavioral impairments. Although polysomnography is the gold standard for arousal detection, its cost and complexity limit us...
Humans Sleep Restless Legs Syndrome Heart Rate Wearable Electronic Devices Attention Deficit Disorder with Hyperactivity Adolescent Arousal Photoplethysmography Female Polysomnography Child Male Machine Learning Accelerometry
View on PubMed DOI

Machine learning-based prediction of restless legs syndrome using digital phenotypes from wearables and smartphone data.

Scientific reports May 10, 2025
Restless legs syndrome (RLS) is a relatively common neurosensory disorder that causes an irresistible urge for leg movement. RLS causes sleep disturbances and reduced quality of life, but accurate diagnosis remains challenging owing to the reliance o...
Smartphone Wearable Electronic Devices Restless Legs Syndrome Circadian Rhythm Male Middle Aged Adult Phenotype Machine Learning Aged Female Humans
View on PubMed DOI

Assessment and prediction of restless leg syndrome (RLS) in patients with diabetes mellitus type II through artificial intelligence (AI).

Pakistan journal of pharmaceutical sciences Sep 1, 2020
This study aimed to diagnose the incidence of restless leg syndrome (RLS) in patients with diabetes mellitus (DM) type-2, thorough artificial intelligence based multilayer perceptron (MLP). 300 cases of diabetes mellitus type-2, of age between 18-80 ...
Incidence Adolescent Algorithms Cross-Sectional Studies Aged Restless Legs Syndrome Predictive Value of Tests Female Male Aged, 80 and over Pakistan Decision Support Techniques Diabetes Mellitus, Type 2 Neural Networks, Computer Adult Risk Assessment Risk Factors Humans Middle Aged Artificial Intelligence Young Adult Prevalence
View on PubMed

[A Domestic Diagnosis System for Early Restless Legs Syndrome Based on Deep Learning].

Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Mar 30, 2019
Restless legs syndrome,as a common sleep disorder,has nowadays long been diagnosed by self-rating scale and polysomnography.In this paper,a domestic diagnosis system for early restless legs syndrome based on deep learning is proposed,which is suitabl...
Deep Learning Sleep Humans Polysomnography Movement Restless Legs Syndrome
View on PubMed DOI
Popular Topics
Recent Journals