sleep scientists| Sleep Shift Scheduling Tool
Awards & Nominations
sleep scientists has received the following awards and nominations. Way to go!
Sleep Shift Scheduling Tool
Monitoring sleep quality by sensors using a non-invasive methodology
Summary
We seek to improve the collection of sleep data using sensors that will be applied punctually, in specific places for better analysis of heart and respiratory rate variations, aiming for comfort with smaller sensors without dropping the quality of signal detection, with the improvement of the data achieved we intend in the future to improve the quality of sleep physically and mentally, even being made available as an App.
How We Addressed This Challenge
The project aims to improve data collection, using smaller and more efficient sensors than the current ones, providing greater quality and efficiency in obtaining data. These will be integrated in order to analyze sleep anomalies and their reflexes on productivity and quality of life. It has in its advantages the best precision of the data, for presenting less interference. Engraved directly under a phase mask where the period is independent of the engraving laser, providing better mechanical stability and better optical characteristics. These sensors are located in strategic locations within the sleeping bag, providing data that will be related to the predefined NASA and SAFE standards.
How We Developed This Project
Lack of sleep leads a large part of the population to a drop in physical and mental performance, it is necessary to assess the health consequences of lack of sleep. This affects the circadian cycle, psychiatric disorders, clinical health problems, physical and other factors that are associated with sleep disorders. The scientific challenge is not restricted to astronauts, using a scientific methodology we seek research carried out in the area and parameters for a theoretical bibliography and propose a practical solution. We face lack of sleep, teamwork, lack of time, lack of resources, we acquire technical and scientific knowledge.
How We Used Space Agency Data in This Project
We used articles as a database in the Guidelines for standardization of bed rest studies in the spaceflight context, which contains parameters and applicable real data. To understand the design used for the astronaut's bed and the resources we could use, we found research developed with volunteers.
Project Demo
https://prezi.com/view/kwZGO4w4z1YMBeFrDByc/
Data & Resources
Chen, Z., Teo, J. T., & Yang, X. (2009). In-bed fibre optic breathing and movement sensor for non-intrusive monitoring. Optical Fibers and Sensors for Medical Diagnostics and Treatment Applications IX, 7173, 71730P. https://doi.org/10.1117/12.807924.
Dijk, D., Neri, D. F., Wyatt, J. K., Ronda, J. M., Riel, E., Ritz-de Cecco, A., … Dijk, -j. (2001). Sleep, performance, circadian rhythms, and light-dark cycles during two space shuttle flights. In Am J Physiol Regulatory Integrative Comp Physiol (Vol. 281). Retrieved from http://www.ajpregu.org
Imhof, B., Hoheneder, W., Vogel, K., & Drudi, L. (2013). How the design of a sleeping bag can support counter-measuring fatigue. Acta Astronautica, 91, 123–130. https://doi.org/10.1016/j.actaastro.2013.04.014
Lya K O V, O. (1997). The alteration of human sleep and circadian rhythms during spaceflight. In J. Sleep Res (Vol. 6).
Monk, T. H., Buysse, D. J., Billy, B. D., Kennedy, K. S., & Willrich, L. M. (1998). Sleep and Circadian Rhythms in Four Orbiting Astronauts.
Ott, M. N., & Friedberg, P. (n.d.). Technology validation of optical fiber cables for space flight environments.
Wehrle, G., Nohama, P., Kalinowski, H. J., Torres, P. I., & Valente, L. C. G. (2001). A fibre optic Bragg grating strain sensor for monitoring ventilatory movements. Measurement Science and Technology, 12(7), 805–809. https://doi.org/10.1088/0957-0233/12/7/309
Moreira, C. S., Lima, A. M. N., Neff, H., Neto, A. G. B., & Loureiro, F. C. C. L. (2010). Biosensores : Tecnologia e Aplicações. Universidade Federal Da Paraíba, 1–18. Retrieved from http://www.biologia.seed.pr.gov.br/arquivos/File/biotecnologia/biosensores.pdf
Tosi, D., Macchi, E. G., Gallati, M., Braschi, G., Cigada, A., Rossi, S., … Lewis, E. (2014). Fiber-optic chirped FBG for distributed thermal monitoring of ex-vivo radiofrequency