How brain-computer interface empowers sleep scenarios?



--- SleepUp: design of a wearable BCI  system for sleep management





/Project info


Project length: 6 months
Project role: product manager and all-round industrial designer @BrainUp, a BCI startup
Skills: User and context research, product system architecture, interaction design, rapid-prototyping, usability tests and iterations, product and project management

https://www.naolubrain.com/sleepup1



#Product service system design
#Smart wearable system
#Brain-computer interface X AI
#Tailored sleep management






Project Introduction


SleepUp is a wearable sleep management system of medical-grade. Supported by brain-computer interface and AI, it achieves an integration of sleep stage tracking, analysis and tailored intervention via EEG and multimodal biosignal detection. It uses real-time neuronal rhythm acoustic waves to extend deep sleep duration, optimize holistic sleep quality and relieve fatigue for users who suffer from sleep disorders.

SleepUp product development project lasted 6 months, starting from product definition and user research, ending up at mass production and market feedback investigation. The developed product system consists of a wearable device design with a charging case, a user APP design, AI algorithm strategy design and supply chain management.

*Considering the protection of intellectual property rights, R&D iteration process and milestone results cannot be shown and illustrated here.




Product Definition


Target group:

For people with moderate to severe sleep disorders seeking for medical professional consultation in the hospital sleep department, they will be recommended to use SleepUp to monitor their sleep together with their attending physicians and take control on the alleviation of sleep disorders.
 
  • Middle-ages and elderlies suffer from sleep disorders due to changes of body hormone levels;
  • Specific occupational influences (irregular work routine, stress and anxiety, shift work...), such as people working in media industry, doctors, etc.


User contexts:

  • The main context is defined in the bedroom during regular sleep time;
  • The expanded scenes are nap time in the office, traveling and commuting during a business trip on the train/airplane, as well as in hotels.


Product function:

  • Sleep monitoring - Accurate sleep staging through EEG acquisition,processing and analysis;
  • Real-time and tailored sleep intervention - Using sound waves to extend the duration of deep sleep and improve sleep efficiency;
  • Portable and possible for multiple recharges;
  • Sleep report (daily,weekly and monthly) - Periodic analysis and feedback.






Requirements and Challenges


The figure below illustrates the requirements of the product system derived from user research and product definition, which lead to a bunch of corresponding design challenges. To tackle these challenges, the team conducted a lot of iterations and simulation tests to find out the optimal solutions.





(Process at a glance)




Let’s unpackage!