I've measured my sleep quality and quantity and compared with healthy population
I've used Dreem 2 EEG headband for 160 nights.
I need to focus on is lowering awake time during night, which should result in less sleep fragmentation and increased sleep quality.
Healthy sleep is required for maintain general health. The purpose of this analysis is to compare how far from healthy population my sleep is.
Adult male (n=1) anthropometrics was described in previous article
As a reference data from a scientific publication will be used 
Visual inspection of sleep data:
Purple - DEEP, Cyan - REM, Blue - LIGHT, Orange - SOL, Red - WASO. All measurements in hours.
Sleep disturbance inspection:
Orange - count of awakenings (left Y axis), Red - position changes count (left Y axis), Blue - sleep efficiency (%, right Y axis).
|Mean||SD||IQR||Healthy mean||Healthy SD||Hedges G||Effect size||Direction|
N = 39 for healthy adult data and N = 160 for my data. Healthy data is between sjubject, my data is intra-subject. Base for percentages is TIB
Comparing intra-subject differences versus between-subject is not a good method, but should be enough for rough comparison:
Most important thing to focus on is lowering awake time during night. Since i'm 34y and most of my sleep metrics differs not significantly from 19-30y population i conclude my sleep is fairly good.
Important to note a weird lower percentage of deep sleep and higher light sleep from reference study. This might be because of lab environment and i dont take these metrics seriously. More importantly to focus on what was worse - awake time.
Welcome for questions, suggestions and critics in comments below.
Data is fully available here.
Effect sizes based on Hedge's g, Cohen's 1988 rules