Validation Study of an Artificial Intelligence-based Sleep Stage Classification for a Home Sleep Tracking Device
Conditions: Sleep, Sleep Disorder
Sponsor: PNAPS Health Informatics and Space Technologies Inc.

MEASUREMENT FLOWCHART 
 
 
 
 
 
 
                                                            
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Apply to the Sleep Disorders 
Centre for a sleep record. 
The participant is invited to join 
the study. 
Participation in the 
study has been accepted. 
Declined participation 
in the study. 
Single-night measurement. 
 
 
In addition to polysomnography (PSG), 
 
>A device combining EEG and PPG 
sensors is placed on the forehead. 
> PPG sensor placed on the wrist. 
Data analysis: 
 
> Classification of PSG records by human 
experts. 
 
> Classification of the data from our sleep 
device with the classifier we have 
developed. 
Comparison of Two Results: 
 
>Cohen’s Kappa  
> F score calculation 
> Bland-Altman plots 

We have 305 nights of sleep data from different individuals who may have possible 
sleep disorders. The dataset is described in Figure 1. 
 
Figure 1: A description of our datasets.