Awards & Nominations

PeripheralPlutarch has received the following awards and nominations. Way to go!

Global Nominee

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.

Somna (Sleep overseer)

Summary

'Somna' uses various telltale parameters to empirically evaluate a subject and actively profile them. Over days the profile is subsequently used to figure the ideal sleep/work data that is then recommended to the subject for a longer period of time. Succeeding the period re-profiling is done to adjust for gradual deviation over time.The widget is expected to be imperative to people with non-circadian cases of astronauts and near-pole dwellers among others. Patients of sleep disorder stand to gain from regularized custom sleep, easy diagnosis from medical practitioners from sleep data. Use among general populace to optimize work cycles boosts overall productivity and quality of work.

How We Addressed This Challenge

Algorithm Plot:


1.The candidate will taste different foods during 5 months training period and after the training they will try out the selected foods(packed) in the Model Station which is located in the planet earth and they will list out the final choice.


2.After the selection, the desired food will be loaded up and they will consume the selected foods in the space.


3.After short intervals, Blood test and urine test will be taken and the acquired data will be compared with the data which is obtained in the 5 months training period.If there is any deficiency/lack of nutrients, the deficient parameters/nutrients will be noted and uploaded in the application. 

4. Here we have two options, either the medic can upload the data or the candidate can directly choose the deficiency after going through the report.

5. After selecting deficient parameter/nutrients, the user needs to decide the courses 


Example: Take the deficient parameters as Vitamin A, Vitamin K, Calcium and Protein.Now the candidate can choose a main course which is rich Vitamin A or Vitamin K or Protein or calcium, that’s upto them. Similar method applies for the side dish, extras and drinks. One thing to keep in mind is, If the candidate selects main dish which is in rich in Vitamin A, he/she cannot select the sides or other courses which has similar richness, even the application will extrude the vitamin c food from all other courses.Meanwhile the application will analyse the deficiency and will show up with a suitable meal plan.Candidate can customise there own menu or they can just go with the suggested meal plan posted by the application.


6. After meal selection, the total amount of the Tertiary parameter will be calculated by the application.


Tertiary Parameter: Mass, Kcals, Proteins ,Cholesterol ,Fat.


7. The reason to calculate such data is, there are some restriction which is to be followed strictly in order to stay healthy.


8. The over-consumption of fat and alcohol that may contribute to the development of obesity and alcoholism. Linked to fat and alcohol, are galanin (GAL), the opioid peptides enkephalin (ENK) and dynorphin (DYN), and the orexins (ORX).


9. Since there is no weather up there, we cant keep a track of cycle’s calorie requirement.If you eat too much, or exercise too little, you gain weight. If you gain too much weight, you may put yourself at risk for diabetes or a host of other health problems.


10. Nasa claims that overdose of proteins we cause a adverse health effect and affects the food rhythm.


11.Most foods that are rich in cholesterol are also high in saturated fatty acids and thus may increase the risk of CVD due to the saturated fatty acid content


Algorithm Plot:

1.Based on the Work Load, type of Work and food consumption the exercise will be scheduled.


2. Different schedules causes strains in the different part of the muscle. Even though the NASA restricted the repair/investigating work beyond the shuttle, there are sum cases where the Astronauts has to got the outer to part. For example, If there is blockage in the A/C vent either then need to reboot the system or they to clear the vent manually. If the rebooting isn't successful the astronauts has to move out of the shuttle to repair the A/C vent.In those cases, Muscle strain will be more, In that particular day we need to reduce the exercise in order to maintain the muscle strain.


3.We have collected the working egg & heart rate to predict working hours and we have allotted exercise and its timing based on both food consumption and work load.


4. There are some restriction in the timing. 


5. So we have taken the reference timing from nasa and we have manipulated time within the stipulated period.


6. We have predicted the time period and the type of exercise from the previous nasa experiments.


7. We will construct a personalised plane for each and every candidate based on the pre-flight performance.


Algorithm Plot: 



  1. According to the candidates suitable light exposure they can alter the blue light spectrum in cabin. For an instance, the suitable light exposure will be set, if they need increase/decrease the light exposure the can do it with the application.


2.The emotions have a direct impact in the sleep. they tend control the parameters like sleep latency, REM sleep, Sleep duration and even there are chances for the candidate to fall in deep sleep (rather than a shallow sleep) who just had a happy conversations. So we have imparted a special tab to monitor the emotions of the candidates, through which we will provide tasks.For example, one must go and ask a particular candidate about the prettiest incident happened in their life, so that both will have a positive emotion flow, with which we can improve the sleep latency and sleep duration of both the candidate.Depending upon the task performed, corresponding points will be allotted.

3. We tried to reduce the effect of circadian rhythm, by altering the blue light with respect to each individual, by rescheduling the work plan, imparting the work to another member when the corresponding member’s rhythm is affected and by providing adequate amount of medication.


4. When the sleep latency of a person is prolonged for a period of time, we recommend them ti listen to there favourite bed time songs and by adding melatonin(a biomarker) boosting food elements in their meal plan.


5. Based on the working hours and preferred sleeping hours, the sleep scheduling will be carried out. Basically, in the pre-flight most the data we will acquired, So we just need to apply the data and monitor the sleep. In most of the times, when we compare pre-flight sleep and Dive sleep, the are differences in the sleeping hours and the difference is small tho.

How We Developed This Project


Since inception mankind has always been limited by sleep. Much more contemporarily, owing to a drastic change from our tree-swinging ancestors in environmental and pychological conditions. This massive void cannot be bridged by evolutionary conditioning of natural selection.


Advanced studies on sleep disorders and on the biological clock has shown humans show disctinctive differences from others in quality, quantity and cycles of sleep. These differences manifest in inability to generalize sleep and hence necessitates custom-tailored sleep programs that can be availed to the general populace at a flick of a thumb.  


Coding Language: Python,JSON,HTML,CSS,Java,Kotlin.

Software: Streamlit, Gradle


We have built an app which can efficiently used in Pre-Flight, Dive and Post Flight.We have faced several problems while builtin the app like Hosting problem(solved), Reloading issue(solved) and so on.

How We Used Space Agency Data in This Project

Mostly we got the data from LSDA, Nasa data portal and other nasa wings like NIHM. Without the dataset from the Nasa portals our project isn't possible.but due to some issue we didn't get extra 3 datas which we ordered in the Nasa data portal , instead we found a replacement.Thank you to all the nasa portals for providing the apt data at on time.

Project Demo

https://drive.google.com/drive/folders/1lX-pZPrfBRjeVQXzntD1Q3uAk9GCOyY2?usp=sharing

Data & Resources

Nurients


https://www.nasa.gov/sites/default/files/space_nutrition_book.pdf


https://www.nasa.gov/pdf/143163main_Space.Food.and.Nutrition.pdf


https://www.nasa.gov/mission_pages/station/research/nutrition.html


https://www.nasa.gov/sites/default/files/atoms/files/stemonstrations_nutrition.pdf


https://www.nasa.gov/centers/johnson/pdf/669816main_Space%20Nutrition.pdf


https://www.nasa.gov/audience/forstudents/postsecondary/features/F_Astronaut_Requirements.html


https://www.nasa.gov/sites/default/files/human-adaptation-to-spaceflight-the-role-of-nutrition.pdf


https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2077813/


https://www.nasa.gov/audience/foreducators/stem-on-station/ditl_eating


https://www.nasa.gov/audience/forstudents/k-4/more_to_explore/Space-Food.html



Exercise


https://nasa.tumblr.com/post/136706596374/exercising-in-space


https://technology.nasa.gov/patent/MSC-TOPS-59


https://data.nasa.gov/dataset/Crew-Health-And-Recreation-Gear-Exercise-Device/3x5u-9mst


https://www.asc-csa.gc.ca/eng/astronauts/living-in-space/physical-activity-in-space.asp


Sleep


https://lsda.jsc.nasa.gov/Dataset/dataset_detail_result/3.1.1__2630758615


https://lsda.jsc.nasa.gov/Dataset/dataset_detail_result/J0001204


https://data.nasa.gov/dataset/Wearable-Device-for-Objective-Sleep-Monitoring-Pha/jz83-ithk


https://lsda.jsc.nasa.gov/Dataset/dataset_detail_result/J0001204


https://catalog.data.gov/dataset/starwatch-to-deliver-objective-sleep-measures-for-spaceflight-operations-phase-ii


https://www.nasa.gov/sites/default/files/thumbnails/image/sleep_schedule.jpg


https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4636437#:~:text=Several%20studies%20have%20found%20that,an%20important%20aspect%20of%20sleep.


https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6092357/...


https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5446217/


https://spinoff.nasa.gov/Spinoff2015/hm_2.html


https://clinicaltrials.gov/ct2/show/NCT03526575


https://data.nasa.gov/dataset/Operational-Ground-Testing-Protocol-to-Optimize-As/qb7i-xcux


https://www.nasa.gov/mission_pages/station/research/astronauts_improve_sleep


https://www.nasa.gov/feature/ames/nasa-research-reveals-biological-clock-misalignment-effects-on-sleep-for-astronauts


https://humanresearchroadmap.nasa.gov/tasks/task.aspx?i=2062

Tags
#sleep #sleep_monitor #Somna #sleep_resistant #nutrients #exeercise #ARED #Sleep_in_space
Judging
This project was submitted for consideration during the Space Apps Judging process.