Roughly 1% of the population lives with anxiety around their next seizure event. Anti-convulsant medication does not help at least 20% of those afflicted, but also carries negative side effects in high doses. This fear stands in the way of performing everyday tasks like driving a car or swimming. There exist devices that can detect that a seizure is occurring, but we aim to build a wearable EEG device that can predict that a seizure is about to occur so a caregiver and/or the user can pause what they are doing and take appropriate preventative action.
Five years ago, a Kaggle contest framed the challenge of developing a machine learning algorithm to help predict seizure events. Contestants were provided 106 GB of training data in.mat files. Each training sample represents 10 minutes of raw intracranial EEG readings. For 5 dogs, data included 16 channel readings sampled at 400 Hz. For 2 human patients, data was sampled at 5000 Hz over 24 channels.
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Eink, E-paper, Think Ink – Collin shares six segments pondering the unusual low-power display technology that somehow still seems a bit sci-fi – http://adafruit.com/thinkink
Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, TinyGO, or even use the Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for CircuitPython, MakeCode, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.