View Project

Adequate high quality sleep is essential for brain health, and the quality of overnight sleep directly reflects in our day-to-day activity. However, in the modern age, stress of both intrinsic and extrinsic origin has taken over our life. Even the thought of not having good sleep drives us into that stressed mode. Clearly, some means of overnight sleep monitoring is very much needed. Current smartwatches do the job, but half-heartedly. They use same algorithm, with same numbers to do sleep staging. But, everyone sleeps differently, i.e., every individual exhibits different EEG/PPG signals correspond their sleep stages. As a result, the current rigid "one size fits all" technology delivered subpar results. This warrants a need for individualized sleep staging methodology that can morph according the individual's sleep pattern.
 

During sleep, brain activity and peripheral blood circulation, measured as EEG and PPG respectively exhibits distinct patterns that correspond to different sleep stages, and these patterns changes from person to person quite a lot depending on various factors such as age, physical activity, food habits etc. These aforementioned patterns are nothing but manifestation of some rhythmic activity in those physiological signals. Determination and tracking of such biological rhythms is not a trivial task because of intrinsic variability and irregularity. Current approaches use off-the-shelf technologies developed for physical oscillators which are very regular unlike biological oscillators, and completely ignores the variability and stochasticity of the biological rhythms. We developed a generative oscillator representation that can effectively model the variability and stochasticity of biologically generated rhythms, resulting in a more extensive characterization. Such extensive characterization can efficiently handle the inter-individual variances, thus acting as a stepping stone towards individualized sleep staging. With such individualized monitoring, we aim to asses sleep quality with better precision, equipping individuals with peace of mind and relieve their stress.
 

1. A software solution for the current smartwatch/phone companies.

2. A hardware (consisting of patch EEG electrode) product that can be used as an add-on to smartphone.

We equip individuals means to track their sleep quality, a small step toward leading a healthy balanced life.