作者: Duane Bourget , Hank Bink , Scott Stanslaski , David Linde , Chris Arnett
关键词: Interface (computing) 、 Embedded system 、 Verification and validation 、 Systems architecture 、 Computer science 、 Use case 、 Scientific instrument 、 Flexibility (engineering) 、 Artificial neural network 、 Computer data storage
摘要: Implantable medical devices can provide chronic access to the nervous system. Implants containing embedded scientific instrumentation payloads (e.g. - sensors, classification, and control policy implementation) a unique opportunity for exploring diseased neural networks how these may be better treated. Physically embedding in an implant creates intertwined constraints such as power consumption, algorithmic computation limits lack of flexibility, data storage, scale sensing information. These limitations largely addressed with combination rechargeable batteries high-bandwidth, secure, distance telemetry, which enables distributed research Taking advantage architecture helps facilitate investigation more unconstrained environment. In this paper, we describe design implantable tool, discuss prototype system its details, present preliminary bench verification validation human drawn from representative use cases.