Sleep Shift Scheduling Tool

Sleep loss and fatigue may lead to reduced performance and an increased risk to safety during many activities, including spaceflight. Your challenge is to develop an operational sleep shift scheduling tool that provides autonomous customization of a schedule for sleep, exercise, and nutrition to manage fatigue.

DeltaREM

Summary

"Delta-REM is a web application designed to help people improve their quality of sleep. Having a good sleep cycle directly impacts health and the ability we have to carry out our daily activities, so Delta-REM does The use of artificial intelligence and a robust implementation is intended to stand out as a strongly supported and quality tool.To do this, use is made of the available sensing technologies that measure the variables that most affect the sleep cycle, with them the application is able to suggest a suitable menu and an exercise routine. Furthermore, through the use of machine learning, the system is able to recognize

How We Addressed This Challenge

Our DeltaREM team decided to face the SLEEP SHIFT SCHEDULING TOOL challenge in the SUSTAIN category by addressing the objective of developing, programming and deploying a web application that allows three main functions:


1) To evaluate the quality and quantity of sleep

2) To elaborate a nutritional plan of 4 times with individual caloric requirement

3) Develop an exercise routine based on rest / fatigue.



How We Developed This Project

Sleep has a direct impact on the quality of life and work performance of all people, being able to favor the appearance of accidents derived from poor sleep hygiene accompanied by an alteration of the circadian cycle. Astronauts get to experience 15 sunrises in 24 hours on the International Space Station as it rotates around the world, so fixed times are established to sleep according to circadian cycles and allow them to sleep around 8 hours a day.


We also propose the use of two tools created by us:

1. "BandHz" that will provide us with data to evaluate REM sleep. And it will allow to eliminate the light from the environment to favor the regulation of the circadian cycle.

2. "FrequencyHz" that will contribute to exercise routines through neuromuscular microstimulations to avoid the loss of muscle mass.


https://drive.google.com/file/d/19rXUL0Ai62-VHz411cjiixBdBSL2Gka3/view


How We Used Space Agency Data in This Project

We made a review of the foods available on the ISS as well as their nutritional information, in this way different cyclical menus are proposed that meet the nutritional requirement for astronauts.

https://drive.google.com/file/d/1WpDEr-StkNs08ROxZW8gH45mjQuU13VQ/view?usp=sharing


Based on the existing equipment in the ISS to exercise (tradmill, cycle ergometer, ARED) we propose 7 cyclical routines that emphasize anti-gravity muscle groups.


According to the physiology of the circadian cycle, we propose a routine with fixed fields (time to wake up, breakfast, snack, lunch, dinner, EVA collation) and editable fields (Time of scientific experiments, review of protocols in the ISS).


Analyzing REM sleep by recording various variables (heart rate, respiratory rate, temperature, rapid eye movements, among others), we propose quality improvement points in sleep hygiene.


https://drive.google.com/file/d/1GHMb-7yvRwkW_v1E60mwTgi5KxXqltZo/view



Project Demo

https://youtu.be/OJv7l_58QVQ


http://167.99.233.157

Access to Log in

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Data & Resources

Space Food System.

Life Sciences Data Archive.

Food For Space Flight.

Digital Food System 2018

NASA

AEM

Judging
This project was submitted for consideration during the Space Apps Judging process.