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.

We have a dream

Summary

We want to develop a tool or application that helps astronauts to have a more bearable stay in space by a comprehensive system capable of taking care of the basic needs of an astronaut in order to maintain optimal health to ensure their stay in space and prepare them for their return to earth.

How We Addressed This Challenge

Our project addresses the problem using a system capable of training the astronaut how to solve and maintain ideal health in space, this through a constant analysis of vital signs, who will dictate what action to take to take care of diet, exercise or the dream.

How We Developed This Project

The project was developed with the planning and advancement of a comprehensive system capable of achieving the aforementioned objectives. In the program, a structure capable of interpreting the received variables was created to determine the main actions to be taken to correct the problem. A program for data analysis and a program for capturing the necessary information through sensors was created. A graphical interface for the astronaut was also developed, which is personalized and focused on being friendly and understandable for any user.

How We Used Space Agency Data in This Project

We use data from NASA on caloric intake and food portions consumed by astronauts, to create a balance index according to sleep conditions, lean mass, total mass, among other parameters; in order to maintain the health of our astronauts.

Data & Resources
  1. Johnson, M. (2019). Cardiovascular Health in Microgravity. 04/10/2020, de NASA Sitio web: https://www.nasa.gov/mission_pages/station/research/station-science-101/cardiovascular-health-in-microgravity/
  2. Mateos Salgado, E.L., Ayala Guerrero, F., Pontones Pérez, K.A., & Gutiérrez Chávez, C.A. (2019). Comparación del sueño ligero y profundo por medio de la variabilidad de la frecuencia cardíaca. Ciencias Psicológicas, 13(2), 275 - 282. Sitio web: http://www.scielo.edu.uy/scielo.php?pid=S1688-42212019000200275&script=sci_arttext
  3. Smith, S.M., Rice, B.L. (2013). Assessment of Nutritional Intake During Space Flight and Space Flight Analogs. 04/10/2020, de ResearchGate Sitio web: https://www.researchgate.net/publication/271891122_Assessment_of_Nutritional_Intake_During_Space_Flight_and_Space_Flight_Analogs
  4. Sociedad Española de Sueño. (2016). Guía de actigrafía en las unidades de sueño. Sociedad Española de Sueño, 1-34. http://ses.org.es/wp-content/uploads/2016/12/guia-de-actigraf%C3%ADa-en-unidades-de-sueno.pdf
  5. Schifferli, Ingrid, Carrasco, Fernando, & Inostroza, Jorge. (2011). Formulación de una ecuación para predecir la masa grasa corporal a partir de bioimpedanciometría en adultos en un amplio rango de edad e índice de masa corporal. Revista médica de Chile, 139(12), 1534-1543. https://dx.doi.org/10.4067/S0034-98872011001200002
  6. Bosy-Westphal, A. (2017, 22 marzo). Quantification of whole-body and segmental skeletal muscle mass using phase-sensitive 8-electrode medical bioelectrical impedance devices. European Journal of Clinical Nutrition. https://www.nature.com/articles/ejcn201727?error=cookies_not_supported&code=d81cbb73-fc2b-49f6-870c-3509c32e04c6
  7. Cruz, A. (2011, 1 octubre). La bioimpedancia eléctrica como método de estimación de la composición corporal, normas prácticas de utilización | Revista Andaluza de Medicina del Deporte. ELSEVIER. https://www.elsevier.es/es-revista-revista-andaluza-medicina-del-deporte-284-articulo-la-bioimpedancia-electrica-como-metodo-X1888754611937896
  8. Data Input Geräte, Software und Seminare zur BIA: BIA-Method. (s. f.). Data Input. Recuperado 3 de octubre de 2020, de https://data-input.de/bia/english/bia-method.php
  9. Quesada Leyva, Lidyce, León Ramentol, Cira Cecilia, Betancourt Bethencourt, José, & Nicolau Pestana, Elizabet. (2016). Elementos teóricos y prácticos sobre la bioimpedancia eléctrica en salud. Revista Archivo Médico de Camagüey, 20(5), 565-578. Recuperado en 04 de octubre de 2020, de http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S1025-02552016000500014&lng=es&tlng=es.
  10. Sánchez-Iglesias, A. (2012, 1 marzo). Fundamentos eléctricos de la bioimpedancia | Nefrología. Revista Nefrología. https://www.revistanefrologia.com/es-fundamentos-electricos-bioimpedancia-articulo-X021169951200102X
  11. Calculadora del índice de masa corporal (IMC). (2019, 25 agosto). Texas Heart Institute. https://www.texasheart.org/heart-health/heart-information-center/topics/calculadora-del-indice-de-masa-corporal-imc/
  12. Índice de Masa Grasa. (s. f.). CalcularTodo. Recuperado 3 de octubre de 2020, de https://www.calculartodo.com/salud/indice-de-masa-grasa.php
  13. David Camilo Arce Zamudio. (2013, noviembre). Diseño de un equipo para la medida de la impedancia de la piel. Universidad de los Andes. https://repositorio.uniandes.edu.co/bitstream/handle/1992/19893/u671634.pdf?sequence=1
  14. Instituto Tecnologico Metropolitano. (2010, diciembre). Medicion de impedancia electrica en tejido biologico (N.o 25). Rev. Tecnologicas 25. https://www.researchgate.net/publication/267426343_Medicion_de_Impedancia_Electrica_en_Tejido_Biologico_-_Revision/fulltext/5450b3dc0cf249aa53dac2bc/Medicion-de-Impedancia-Electrica-en-Tejido-Biologico-Revision.pdf
Tags
#Biomedical #NASA #UACH #Astronauts #SpacialStation #HealthCare
Judging
This project was submitted for consideration during the Space Apps Judging process.