Morpheus Sleeptech has received the following awards and nominations. Way to go!
In our project we sought to develop a wristband designed to keep track of the vital data of the astronauts in the ISS. It is important because the astronauts are required to do complicated jobs that depend upon a lot of attention and focus, and the lack of sleep affect their job in major ways. Its main focus would be to measure this data during the sleep, proving scientists and medical professionals here on earth with quality information and insights about the quantity and quality of sleep in the ISS and how does it affect different people with different body types, metabolisms, diets and exercise routines. With the help of these same scientists we seek to develop an artificial intelligence that would take the data collect from each person, process it, and give suggestions about what the astronauts could do to improve their sleep quality, like for example a change in diet or more intense exercises. With this, we hope to better the astronauts sleep quality and, consequently, their performance and efficiency on their jobs and tasks at the ISS.
In our studies over the general population and even in the data provided by NASA, we saw that most astronauts sleep less than recommended, so we focused on being able to provide a product and service for both the astronauts on the ISS and the common population. The challenge we chose was the topic of scheduling sleep, however we sought to bring something more than just a simple app that will tell you when to sleep or wake up, and to bring this extra, it is important to understand how each person behaves during their sleep. We then developed a wearable capable of collecting vital data (temperature, heart rate and blood oxygenation) during sleep, in addition to containing some motion and presence sensors. Our idea is to cross this data with information from the routines and histories of the austronauts to increase the accuracy of our AI and give better suggestions. To obtain this we intend to use Python to implement the AI and micropython in the emdded software running in a esp32 board. Regarding the hardware, at first, we are making the use of ready-made kits, but already have in mind a MCU node with an esp32 for prototyping. One of the great challenges encountered is in relation to the hardware and the design of the wearable, to generate a device as comfortable as possible.
We used the space agency data to validate our problem, seeing that, for example, most astronauts only sleep 6 hours per night, while most missions recommend an average of 8.5 hours.