iSeiz: A low-cost real-time seizure detection system utilizing cloud computing

In this paper, we report on a proof-of-concept wearable prototype, called iSeiz, that can detect specific seizure activity, namely generalized tonic-clonic, in epilepsy patients. We first describe the high-level architecture of iSeiz, and then elaborate on its hardware and software features, including its robust and low-computational intensive real-time seizure detection algorithm (SDA), as well as utilization of cloud computing for recoding, analyzing, and comparing seizure data. We conclude this paper by discussing the performance of iSeiz system in terms of its seizure detection accuracy, lifetime, and communication range.