Multisensor data fusion and control for complex neural interface system

Abstract

Neural Interface (NI) technology has been an area of intense recent research and development activity. Signal and information management of neural recordings for complex neural interface system become a very difficult task. Recently we develop a framework for complex neural interface system aimed at processing neural signals with multisensor fusion approaches. The relationship of the data fusion with the whole system is detailed discussed. A general fusion and control architecture for complex neural interface system is proposed. In this work, using the proposed approach we make an illustrative experiment by exploiting the Sleep Heart Health Study Polysomnography (SHHS) Database to seek to integrate with the ECG, EEG, EOG and other neural signals, and propose a good solution to the investigation of clinical neural medicine.