AI & Machine Learning

Sunrise to Launch Home Sleep Tests in US

The Belgium-based company plans to launch its chin patch home sleep test in the US after receiving FDA clearance and closing a €17 million funding round.

AI & Machine Learning

The AI-Driven Personalized Sleep Therapy Revolution Is Near (Editor’s Message)

Within the next 3 to 5 years, we'll see AI-driven technologies launch on the therapy side—driving a personalized sleep medicine revolution.

AI & Machine Learning

PhD Candidate Develops Wrist-Worn Device to Detect Sleep Apnea

The wrist-worn device looks like a smartwatch or fitness tracker and involves illuminating the skin with green light from LEDs.

New Approach to Describing Sleep Architecture May Help Direct Therapy for Sleep Disorders

Mar 28, 2022 | AI & Machine Learning, Circadian & Sleep Biomarkers, Home Apnea Testing, Impact During Wake, Insomnia, Obstructive Sleep Apnea

Magdy Younes and associates have revealed new insights into clinical symptoms of sleep disorders found in sleep architecture.

Contactless HoneyCube Sleep Monitor Compares Well to Traditional Tech

Mar 15, 2022 | AI & Machine Learning, Breathing Disorders, Home Apnea Testing

HoneyNaps designed the HoneyCube System to analyze vital signs and sleep architecture for adults with sleep-disordered breathing.

Home Sleep Tests Make Strides Thanks to Wearables, AI

Mar 8, 2022 | AI & Machine Learning, Curated, Home Apnea Testing

Managed Healthcare Executive: Henri Korkalainen, PhD explains how wearables, AI, and growing demand fuel a push toward home sleep testing.

New ‘AlertSafe’ System Promises Safer Shift Work

Feb 7, 2022 | AI & Machine Learning, Shift Work Disorder

AlertSafe’s algorithms use a mathematical model based on the biology of sleep to estimate the impact of work schedules on alertness levels.

Scientists Evaluate Dayyz Sleep Disorder Intervention App

Jan 12, 2022 | AI & Machine Learning, Smart Phone

The sleep intervention is conducted using the digital app platform, providing people with personalized sleep treatment plans, contextual nudges, sleep management tools, and a clinically validated sleep assessment.

Sleep Apnea Detection Tool Fuses Expert Knowledge & Deep Learning Features

Oct 1, 2021 | AI & Machine Learning, Curated, Obstructive Sleep Apnea

PennState: ConCAD, presented at a recent conference in Europe, automatically learns patterns from electrocardiograph data collected by at-home devices, making it a faster solution than other sleep apnea diagnostics.

AI Can Be Improved by Mimicking Memory Formation During Sleep, Says National Science Foundation Awardee

Sep 30, 2021 | Academies & Associations, AI & Machine Learning

Christopher Kanan, PhD, received an NSF Faculty Early Career Development award and grant for his five-year project.

Will Nanosensors in Clothing Monitor Sleep Apnea in the Future?

Sep 29, 2021 | AI & Machine Learning, FDA, Future of Sleep, Home Apnea Testing, Wearable Sleep Trackers

Nanowear’s SimpleSense uses its proprietary cloth-based smart nanosensor technology to capture and analyze these low-noise, 85+ biomarkers using time-synchronous scattering methods.

3B MaskFit Launches on Apple App Store & Google Play

Sep 20, 2021 | AI & Machine Learning, CPAP & PAP Devices, Obstructive Sleep Apnea

3B MaskFitter scans facial geometry to determine appropriate cushion size and narrow down mask type.

Winning Experiences Preferentially Replayed During Sleep

Jul 23, 2021 | AI & Machine Learning, Brain

Scientists placed volunteers in an MRI in the early evening and had them play two video games.

Autoscoring Software Comparison Guide

Jul 10, 2021 | AI & Machine Learning, Home Apnea Testing, Polysomnography

This guide compares autoscoring software specifications including algorithm details, hardware compatibility, validation studies, pricing structure, time to score, scoring parameters, tech support, and more.

How AI Could Help Decode Long-Overlooked Polysomnography Data

Jun 16, 2021 | AI & Machine Learning

What insights into sleep will we find when sleep studies are scored in a fraction of the time?

‘Brain Age’ Can Be Predicted from EEG Data Gathered During Sleep Studies

Jun 13, 2021 | AI & Machine Learning, Brain

Patients with diabetes, depression, severe excessive daytime sleepiness, hypertension, and/or memory and concentration problems showed an elevated Brain Age Index.