Project
| # | Title | Team Members | TA | Documents | Sponsor |
|---|---|---|---|---|---|
| 9 | EpiCap - a wearable EEG device |
Casey Bryniarski Qihang Zhao Shiru Shong |
Josephine Melia | design_document1.pdf design_document3.pdf final_paper1.pdf photo1.PNG photo2.PNG presentation1.pdf proposal1.pdf |
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| **Team members: Casey Bryniarski (bryniar2), Qihang Zhao (qihangz2), Shiru Shong (shirus2)** # Problem: * EEG tests measure electrical activity at the edge of the brain using electrodes placed along the scalp. Waveforms from these tests can determine what kind of seizure could occur and aid physicians in determining diagnosis and therapy. However, patients are required to be off-medication and could be required to stay overnight, which many neglect due to the time or cost commitment. Additionally, ambulatory EEG devices exist but don't provide cameras. # Solution: * We propose the EpiCap: a hat with an onboard EEG system. The epicap can collect EEG signals (using the TI ADS1299 via electrodes in the crown of the cap), detect eye movement (via a camera under the visor), and detect initial seizure activity (via an accelerometer). An onboard bluetooth/wifi chip (e.g. ESP32) can be used to send information for physician interpretation via a mobile device or web service. Physicians can also interpret data from an on-board SD card. The cap must include a wearable power system with minimal noise to not disrupt the EEG. # Solution Components: ## Supply * An accurate 3.3V battery supply that delivers at a low noise is required. EEG tests are on the scale of tens of microvolts so we will need to ensure the supply delivers while being physically compact within the cap. ## The board * We will need to consider EM/RF/noise pollution mitigation to ensure valid data, how to trigger the cap, and when to relay the data collected or send alerts. We will integrate each device on our SPI bus and write firmware that can collect and store our data. Once we verify the data, we can work on interfacing it with resources off the board. ## Beyond the board * A mobile or web app that displays data for seamless physician interpretation and produces documents for the patient's medical record. Although our camera may not have the image processing capabilities for eye tracking, we believe a low-cost camera will offer physicians enough context to arrive at a diagnosis. # Criterion for Success: * A product that could see immediate use recording and studying EEGs, as well as presenting physicians with an additional "bonus" video of the patient's eye movement. Moreover, we would like to make sure our work and board, and especially the power and EMF considerations, can be iterated upon and used by the OpenBCI community. |
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