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Multidimensional association of sleep health with dietary habits and physical activity in adolescents While insufficient sleep is associated with poor lifestyle factors, a multidimensional approach assessing multiple sleep health dimensions via subjective and objective measures has emerged as a more c...

Evaluar el sueño con un abordaje multidimensional aborda mejor su asociación con los factores del estilo de vida #actigraphy #adolescents #dietaryhabits #physicalactivity #Polysomnography #Sleephealth www.sleephealthjournal.org/article/S235...

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Say goodbye to tedious sleep studies! 😴🧠 LANTAPE Biosensors is revolutionizing sleep science with an automated sleep staging algorithm that matches human accuracy and overcomes the bottlenecks of manual polysomnography scoring 
4. No more hours of manual brainwave analysis — just smart, precise, AI-powered results 
4. Better sleep research starts here! 🔗 https://lantapebiosensors.com/ #SleepScience #SleepResearch #AIHealth #AutomatedSleepStaging #Polysomnography #LantapeBiosensors #HealthAI

Say goodbye to tedious sleep studies! 😴🧠 LANTAPE Biosensors is revolutionizing sleep science with an automated sleep staging algorithm that matches human accuracy and overcomes the bottlenecks of manual polysomnography scoring 4. No more hours of manual brainwave analysis — just smart, precise, AI-powered results 4. Better sleep research starts here! 🔗 https://lantapebiosensors.com/ #SleepScience #SleepResearch #AIHealth #AutomatedSleepStaging #Polysomnography #LantapeBiosensors #HealthAI

Say goodbye to tedious sleep studies! 😴🧠 No more hours of manual brainwave analysis — just smart, precise, AI-powered results. Better sleep research starts here! 🔗 lantapebiosensors.com #SleepScience #SleepResearch #AIHealth #AutomatedSleepStaging #Polysomnography #LantapeBiosensors #HealthAI

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Time to diagnosis and treatment of obstructive sleep apnoea using mandibular jaw movement monitoring versus polysomnography: an open-label, multicentre, randomised, controlled trial OSA diagnosis based on MJM monitoring with AI-supported analysis is noninferior to PSG in reducing daytime sleepiness at 3 months after diagnosis, while significantly accelerating time to diagnosis an...

New RCT shows that #AI-powered, at-home mandibular jaw movement monitoring is non-inferior to #Polysomnography for reducing daytime sleepiness at 3 months after #ObstructiveSleepApnoea diagnosis (difference of −0.03, 95% CI −0.85 to 0.79)
www.thelancet.com/journals/lan...

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Post-COVID-19 insomnia beyond stress: insights from polysomnography Dear Editor,

The scope of #COVID-19 includes #sleephealth. Using #polysomnography, researchers explore the impact of #COVID on #insomnia.

academic.oup.com/sleep/articl...

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Stanford's new foundation model sifts through massive sleep polysomnography data, uncovering hidden signals of cardiovascular disease and neurodegeneration. Dive into the AI breakthrough by James Zou’s team. #StanfordAI #Polysomnography #DeepLearning

🔗 aidailypost.com/news/stanfor...

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Understanding discrepancies between self-reported and objective sleep in adolescents and young adults with subacute concussion AbstractStudy Objectives. Conduct a multidimensional analysis of sleep perception, objective sleep, and neuropsychiatric wellbeing in individuals with suba

#Polysomnography (PSG) is considered the golden standard, an objective measure of sleep. #Self-reported #sleepcharacteristics are compared to the golden standard in adolescents with #concussions. academic.oup.com/sleepadvance...

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Comparison and Validation of Actigraphy Algorithms Using a Large Community Dataset: Algorithm Validation Study Background: For decades, the measurement of sleep and wake has relied upon watch-based Actigraphy as an alternative to expensive, obtrusive, clinical monitoring. To date, we have relied upon a handful of algorithms to score actigraphy data as sleep or wake. However, these algorithms have largely been tested and validated with only small samples of young healthy individuals. Objective: To address this issue, this study established the accuracy and agreement of conventional and traditional actigraphy algorithms against polysomnography the clinical standard using the diverse MESA sleep dataset. As a secondary objective, we examined algorithm and polysomnography agreement for key sleep metrics including total sleep time (TST), sleep efficiency (SE), and wake after sleep onset (WASO). Methods: We assessed 5 well established algorithms including Cole-Kripke, UCSD scoring, Kripke 2010, Philips-Respironics, and Sadeh, with and without rescoring across 1440 individuals (Mage=69.36+/-8.97) from the MESA sleep dataset. We conducted epoch-by-epoch comparison assessing accuracy, confusion matrix analyses, Receiver Operator Characteristic Curves, Area Under the Curve, and Bland Altman analyses for agreement. Results: Primary results indicated all algorithms demonstrated accuracy between 78%-80% with the highest accuracy by the Kripke 2010 (80%) algorithm and closely by Cole-Kripke (80%) and Philips-Respironics (80-79%) algorithms. In addition, moderate Cohens kappa agreement and moderate positive Matthews correlations were demonstrated by all algorithms. Further, all algorithms demonstrated significant mean difference across sleep metrics. Conclusions: The findings of this study establish that these traditional actigraphy algorithms can, with high accuracy, detect sleep and wake in large diverse population samples, including older adults, or populations at risk of health conditions. However, these algorithms may carry difficulty for precise assessment of sleep metrics especially in cases of sleep disorders or irregular sleep.

JMIR Formative Res: Comparison and Validation of Actigraphy Algorithms Using a Large Community Dataset: Algorithm Validation Study #SleepStudy #Actigraphy #Polysomnography #DataValidation #SleepAlgorithms

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Shavua Tov!

Unfortunately had to travel just at the end of Shabbat and then spent the night at a sleep clinic covered in electrodes and wires…

#polysomnography

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Despite career-long access to #polysomnography equipment, I’ve never had a sleep study myself (only done them on ppl) but I can just TELL that my REM latency vibes are off
It’s possible my #adhdmedication has been masking the #narcolepsy
Now that I’m in Spain maybe I can get some GODDAMN HEALTHCARE

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#Polysomnogram #SleepStudy #Compumedics #Polysomnography #Alpha #Beta #EKG #ECG #SLEEPWAVES #WAKEWAVES

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Georgie had a great time learning all about #polysomnography last week in beautifully sunny Edinburgh ☀️🧠

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"Poor #sleep quality & sleep disorders are more prevalent in individuals with #MultipleSclerosis ....Sleep efficiency (SE) is one of the most sensitive markers of sleep quality. There is very little written about SE & other #polysomnography (PSG) parameters & MS."
doi.org/10.7224/1537...

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Unraveling Insomnia: Your Guide to Restful Nights
Unraveling Insomnia: Your Guide to Restful Nights YouTube video by Greenhouse for Mental Health Development

Unraveling Insomnia: Your Guide to Restful Nights

#Insomnia #SleepHealth #SleepHygiene #SleepDisorders #RestfulNights #SleepScience #Polysomnography #SleepEfficiency #SleepBetter #MentalHealth #WellnessJourney #SleepTips #TossingAndTurning #SleepPatterns

youtube.com/shorts/sDhst...

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Josua Lim

Dabei untersuche ich, wie körperliche Beanspruchung Schlaf, kognitive Funktionen sowie die Lebensqualität im Alter beeinflussen kann.

Ihr findet mich hier: www.issw.uni-heidelberg.de/personal/hom...

#SportScience

#aging #sleep #polysomnography #cognition #memory #HIIT #well-being

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