Want help using a socket with EMOTIV EPOC+?

https://gist.github.com/jhschwartz/f24f50bdf576f82f39fabe7df4328959

medhacks-zzg

MedHacks 2018 Team ZZG

Pitch

Meet ZZG, your personalized, at-home sleep lab. ZZG provides tailored sleep hygiene suggestions based on Emotiv EPOC + EEG data.

Features

• ZZG uses EEG data to provide recommendations to improve quality of sleep (mocked)
• EEG data defines quantitative metrics such as stress levels and excitement during sleep
• EEG data can be used to predict sleep disorders by identifying time spent in the 5 sleep stages (mocked)

Future work:

• Use EEG to determine sleep quality using entropy index
  • Sleep quality entropy calculation: http://daedalus.scl.sztaki.hu/phdws2004/abstract/phdws2004_abstract_4.pdf
  • Sleep labs calculate sleep quality through sleep efficiency index, (Hours in stage 3 + Hours in stage 4)/(total hours of sleep). This is inconvenient because you need to go to a sleep lab to do this.
  • Paper suggests that there is a correlation between sleep efficiency index and proposed entropy index. More positive entropy, poorer quality of sleep. Above -1.313 means poor sleep. Need at least 2 seconds intervals of EEG data to calculate this.
• Connect to visualization API to visualize EEG data in real time
• Lifestyle questionnaire
  • Collect initial data on lifestyle to help provide recommendations
  • How would we use this data?
• Community health functionality
  • Status quo data: Map that shows that sleep quality is lacking geographically
  • Demonstrates need for ZZG
  • App user geographical data: Show how user’s data compares to users around them

Preview

Open homepage.html in /frontend