Neurology

Sleep Disorders

Latest AI and machine learning research in sleep disorders for healthcare professionals.

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Showing 232-252 of 2,814 articles
Developing a deep learning model for sleep stage prediction in obstructive sleep apnea cohort using 60 GHz frequency-modulated continuous-wave radar.

Given the significant impact of sleep on overall health, radar technology offers a promising, non-in...

(4)
Sep 2023 37752626
SelANet: decision-assisting selective sleep apnea detection based on confidence score.

BACKGROUND: One of the most common sleep disorders is sleep apnea syndrome. To diagnose sleep apnea ...

Sep 2023 37735681
Effects of oral melatonin premedication on hemodynamic responses to intubation, anesthetic requirements and postoperative sedation: A randomized trial.

BACKGROUND AND AIMS: Sedative effects of melatonin may have an additive effect on general anesthesia...

(2)
Sep 2023 38269180
A robot intervention for adults with ADHD and insomnia-A mixed-method proof-of-concept study.

OBJECTIVE: To investigate individual effects of a three-week sleep robot intervention in adults with...

(1)
Sep 2023 37656707
Deep learning for obstructive sleep apnea diagnosis based on single channel oximetry.

Obstructive sleep apnea (OSA) is a serious medical condition with a high prevalence, although diagno...

(2)
Aug 2023 37573327
Automatic stridor detection using small training set via patch-wise few-shot learning for diagnosis of multiple system atrophy.

Stridor is a rare but important non-motor symptom that can support the diagnosis and prediction of w...

(2)
Jul 2023 37407621
Detection of preceding sleep apnea using ECG spectrogram during CPAP titration night: A novel machine-learning and bag-of-features framework.

Obstructive sleep apnea (OSA) has a heavy health-related burden on patients and the healthcare syste...

(1)
Jul 2023 37402610
Challenges of Applying Automated Polysomnography Scoring at Scale.

Automatic polysomnography analysis can be leveraged to shorten scoring times, reduce associated cost...

(1)
Jun 2023 37532369
No person is an island: Unpacking the work and after-work consequences of interacting with artificial intelligence.

The artificial intelligence (AI) revolution has arrived, as AI systems are increasingly being integr...

Jun 2023 37307359
AI-Driven sleep staging from actigraphy and heart rate.

Sleep is an important indicator of a person's health, and its accurate and cost-effective quantifica...

(1)
May 2023 37195925
Efficient Deep Learning Based Hybrid Model to Detect Obstructive Sleep Apnea.

An increasing number of patients and a lack of awareness about obstructive sleep apnea is a point of...

May 2023 37430605
Coupling analysis of heart rate variability and cortical arousal using a deep learning algorithm.

Frequent cortical arousal is associated with cardiovascular dysfunction among people with sleep-diso...

Apr 2023 37023117
Sleep-Energy: An Energy Optimization Method to Sleep Stage Scoring.

Sleep is essential for physical and mental health. Polysomnography (PSG) procedures are labour-inten...

Mar 2023 38292346
Modeling acute care utilization: practical implications for insomnia patients.

Machine learning models can help improve health care services. However, they need to be practical to...

Feb 2023 36750631
Fast Sleep Stage Classification Using Cascaded Support Vector Machines with Single-Channel EEG Signals.

Long-term sleep stage monitoring is very important for the diagnosis and treatment of insomnia. With...

Dec 2022 36560286
Pediatric Automatic Sleep Staging: A Comparative Study of State-of-the-Art Deep Learning Methods.

BACKGROUND: Despite the tremendous prog- ress recently made towards automatic sleep staging in adult...

(1)
Nov 2022 35552153
Sleep classification using Consumer Sleep Technologies and AI: A review of the current landscape.

Classifying sleep stages in real-time represents considerable potential, for instance in enabling in...

Sep 2022 36206600
A review of automated sleep disorder detection.

Automated sleep disorder detection is challenging because physiological symptoms can vary widely. Th...

Sep 2022 36182761
A systematic review of deep learning methods for modeling electrocardiograms during sleep.

Sleep is one of the most important human physiological activities, and plays an essential role in hu...

Aug 2022 35853448
Accurate contactless sleep apnea detection framework with signal processing and machine learning methods.

The detection of sleep apnea is critical for assessing sleep quality. It is also a proven biometric ...

(1)
Jul 2022 35781052
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