iDDS: An Edge-Device in IoMT for Automatic Seizure Control using On-Time Drug Delivery

摘要

Epilepsy affects around 1% of the world population, necessitating wearable or implantable solutions for seizure control. In this paper, an Internet of medical things (IoMT) based unified drug delivery system (iDDS) is proposed for automatic seizure detection and control. iDDS consists of two units: a seizure detection unit and a drug delivery unit. Seizure detection is performed in real time using statistical feature extraction and a deep neural network (DNN) classifier. Once a detection is complete, the drug is injected into the target area using a piezoelectric actuated valveless double reservoir micropump. iDDS presents a unique piezoelectric actuated double-reservoir based drug delivery system for fault-tolerance as well as better drug control. The proposed system was implemented in Simulink^® and Thinkspeak, which reported a sensitivity of 100% and an average latency of 1.8 sec for the selected dataset.