Detecting epileptic seizures with wearable devices

癫痫猝死（SUDEP）发生在癫痫发作期间或发作后立即发生，其原因是患者呼吸暂停、抽搐使失去知觉的人处于令人窒息的姿势、心律异常或以上几种情况的结合。对其他人来说，如家庭成员或看护人，评估和帮助癫痫发作的个体是很重要的。Neutun实验室开发了一款应用程序，可以与智能手机或智能手表一起检测潜在的癫痫发作，并通过短信、电话和/或急救警报通知选定的患者。他们目前的检测依赖于带有加速度计的可穿戴设备。癫痫发作最好通过脑电图（EEG）测量的脑活动变化来检测。最近，一些消费级可穿戴式脑电图耳机已经进入市场。Neutun实验室希望将可穿戴式脑电图耳机在睡眠期间收集的脑电图数据与运动数据相结合

Sudden unexpected death in epilepsy (SUDEP), which occurs during or immediately after a seizure, results from the person having pauses in breathing, a convulsion placing the unconscious person in a suffocating position, developing an abnormal heart rhythm, or a combination of these. It is important for someone else, like a family member or care-giver, to assess and assist the individual having a seizure. Neutun Labs have developed an app that works with your smartphone or smartwatch to detect potential seizures and notify chosen individuals via text, phone, and/or first-responder alerts. Their current detection relies on wearables with an accelerometer. Seizures are best detected via changes in brain activity measured with electroencephalography (EEG). Recently a number of consumer grade wearable EEG headsets have entered the market. Neutun Labs would like to integrate EEG data collected with a wearable EEG headset during sleep with the kinematic data to improve seizure detection and reduce the incidence of false alarms. This project focuses on EEG signal processing and analysis combined with kinematic data analysis to develop the technology for real-time app-based event detection that produces accurate seizure alerts. The ability to mathematically calculate the likelihood that an event was a seizure is just starting to be transferred into an ability to predict the likelihood of a seizure about to occur. Epilepsy detection and prediction wearables are a nascent field that is currently focused on pulse, temperature, and skin conductance measures feeding into a smartphone app. If we can effectively and efficiently combine kinematic and EEG information, we will produce a significant leap in technology.