Sleep is an essential part of our daily lives and has profound effects on our mental and physical health. Sleep is crucial for maintaining health and well-being, regenerating the body, maintaining cognitive function and memory, and regulating mood and emotions. On the other hand, lack of sleep can have a number of negative health effects, such as an increased risk of obesity, heart disease, and depression. It is important to pay attention to and monitor restful and adequate sleep duration.
We are exposed to many stimuli throughout the day, and these stimuli affect our entire nervous system. Under these exposures, it is a difficult task to collect a cross-section of data from daily life and try to make sense of that data. Therefore, it is important to collect data during sleep and make sense of it.
Track your sleep with high accuracy.
Since we are interested in the high accuracy of the sleep monitor we are developing, we combined an electroencephalography (EEG) sensor to detect brain signals with a photoplethysmography (PPG) sensor, a basic light technology. With these sensors, we can provide basic sleep architecture (e.g., N1, N2, N3, and REM duration), sleep quality information, mental stress, heart rate, heart rate variability, and oxygen saturation to the user.
In order to recognize and prevent unhealthy conditions, one must be able to identify them and distinguish them from the normal. We will design our mobile application with this in mind. You will be able to export all the information we provide to our application in the form of daily, weekly, and monthly reports. By reviewing the reports, you will be able to monitor the fluctuations of your body systems and request medical assistance when needed.
Wouldn't you like to track your sleep quality and stress levels with a method calculated based on your physiological data?
Studies have reported inconsistencies between sleep quality calculated based on sleep architecture and its subjective assessment. Therefore, we are working to provide this information via a different approach, using physiological data to assess sleep quality and experienced stress levels.
Providing sleep quality information through physiological data is a new approach that has not been tried before in the literature.
"The development of this product is supported by TUBITAK-TEYDEB Support Program (Project No: 2220124) and KOSGEB, Research & Development, Product Development, and Innovation Support Programme."