A novel non-EEG wearable device for the detection of epileptic seizures

<p dir="ltr">The benefits of seizure detection include date and time of day stamping, frequency, intensity and alerting others. This project investigated the use of seizure-related non-EEG (brainwaves) changes in detecting epileptic seizures. Others have demonstrated the sensitivity of these signals and their inconspicuous nature, offering alternatives to EEG detection. I designed a device in a vest to capture seizure-specific changes in movement, muscle electrical activity, heart rate and breathing. This data can be used to develop a novelty detection (machine learning) algorithm from people without a history of seizures then that algorithm can be embedded in the same wearable to detect real-time seizures in people with epilepsy. This work is ongoing.</p>