Mathew Thomas

How to #fix your #sleepcycle
1. Figure out what is causing the disruption
2. Build a proper sleep cycle
3. Control your waking-up time
4. Limit light exposure before bedtime
5. Don't try too hard
6. Manage little things
msn.com/en-in/health/other/how

matti

From all the sleep tracking apps (for iOS) out there I only know of one that tracks sleep dept - the only meaningful (imho) measure of how much I should sleep and of how my daily life is impacted by how (much) I slept. It's called #rise. I am either using or have used #sleepcycle, #oura and apple's own health integration (on the phone, I don't own a watch).

Am I missing an app?

#sleep #ios #sleepTracking #iphone #app

nemo™ 🇺🇦

#Uberman #sleepcycle

polyphasic.net/uberman/

Uberman Sleep cycle is an extreme form of #polyphasicsleep where the person sleeps for only 2 hours per day, divided into six 20-minute naps spaced evenly throughout the 24-hour period. It is considered one of the most difficult and potentially unsustainable polyphasic sleep schedules due to the following reasons:

#dailydoseofinfo

Recommend 🤔 hell no 👎 🛑

Uberman Sleep Schedule - POLYPHASIC SLEEP | Sleep Right, Live Well

% Uberman is one of the most famous and extreme polyphasic…

POLYPHASIC SLEEP | Sleep Right, Live Well
Zoomers of the Sunshine Coast 🇨🇦

Cough Radar

Users can now access information about the prevalence of coughs in their vicinity, offering a unique perspective on the health landscape around them.

The Sleep, Cough and Omicron Correlation
sleepcycle.com/sleep-reports/t

Sleep Cycle’s Cough Radar:
A New Frontier in Community Insights
sleepcycle.com/features/cough-.

Sleep Cycle App
sleepcycle.com

Sleep Cycle Facebook
facebook.com/SleepCycleAlarmCl

#Tracking #CommunityInfection #SleepCycle #Sleep #CommunityHealth

personally

The audio features of sleep music: Universal and subgroup characteristics

In this groundbreaking study, researchers elucidated the characteristics of music associated with sleep by extracting audio features from a large number of tracks retrieved from sleep playlists at the global streaming platform, Spotify. The study found that, compared to music in general, sleep music tends to be softer, slower, and more often instrumental, without lyrics, and played on acoustic instruments. However, despite these common characteristics, the study also revealed a large amount of variation in sleep music, which clustered into six distinct subgroups.

Interestingly, three of the subgroups included popular tracks that were faster, louder, and more energetic than the average sleep music. These findings shed new light on the audio features of sleep music and highlight the individual variation in the choice of music used for sleep.

Using digital traces, the researchers were able to determine the universal and subgroup characteristics of sleep music in a unique, global dataset, advancing our understanding of how humans use music to regulate their behavior in everyday life. This study provides important insights into the powerful impact of music on sleep, and opens the door to new research into the therapeutic potential of music for promoting healthy sleep patterns.

journals.plos.org/plosone/arti

#Sleep #Music #Audio #Global #Dataset #Spotify #Therapeutic #Lullabies #Instrumental #SleepScience #MusicTherapy #SleepBetter #Relaxation #AcousticMusic #Playlist #Insomnia #MentalHealth #Wellness #HealthyHabits #Research #SoundTherapy #GlobalResearch #SleepCycle #SleepDisorders #DigitalTraces #BehavioralScience #CognitiveFunction