EpiBOX was developed as a way to enable researchers to escalate their data collection process by leveraging the human resources available. By providing a versatile, discreet, user-friendly and open-source system, operated through a mobile application, we hope to enable researchers to delegate the task of data collection to less proficient individuals.
EpiBOX app is a user-friendly interface to configure, start, visualize, pause and stop acquisitions with wearable devices. Currently, EpiBOX supports BITalino-based equipments allowing for the recording, storage and visualization of up to 12 channels simmultaneously.
[currently available for Android OS only]
- This mobile app is complementary to the Python package epibox (available @ epibox (GitHub) and epibox (PyPI))
- It also requires a Raspberry Pi set up as a wireless access point and MQTT broker in order to ensure communication between the mobile app and the recording unit (RPi itself or another Linux device).
- Step-by-step interactions to start the acquisition
- History of acquisition devices
- Default configurations for optimized interaction
- Real-time visualization of up-to 12 channels
- In-acquisition annotations
Why BITalino:
- Versatility of sensors & flexibility of wearable form-factors
- Rapid & cheap prototyping
- Peer-validated against gold-standards
Why Raspberry Pi:
- Discreteness
- Affordability
- Ease of system replication - through shell script or RPi imager
- Computational and storage power
Get to know our project @ LinkedIn - PreEpiSeizures
MIT
For any additional information about the mobile app or our project please contact me: anascacais@gmail.com