Integrating Brain Implants With Local and Distributed Computing Devices: A Next Generation Epilepsy Management System

摘要: Brain stimulation has emerged as an effective treatment for a wide range of neurological and psychiatric diseases. Parkinson’s disease, epilepsy, essential tremor have FDA indications electrical brain using intracranially implanted electrodes. Interfacing implantable devices with local cloud computing resources the potential to improve efficacy, disease tracking, management. Epilepsy, in particular, is that might benefit from integration implants off-the-body tracking therapy. Recent clinical trials demonstrated seizure forecasting, detection, therapeutic patients drug-resistant focal epilepsy. In this paper, we describe next-generation epilepsy management system integrates handheld cloud-computing wirelessly coupled device embedded payloads (sensors, intracranial EEG telemetry, stimulation, classifiers, control policy implementation). The can provide seamless interface between physicians, realtime be used classify state (wake/sleep, preseizure, seizure), implement policies track patient health. This creates flexible platform which low demand analytics requiring fast response times are more complex algorithms implemented offthebody distributed environments. enables epileptic neural networks operating over time scales ranging milliseconds months.