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

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.