Abstract
As an innovative as well as an interdisciplinary research project, this study performed an analysis of brain signals so as to establish BrainIC as an auxiliary tool for physician diagnosis. Cognition behavior sciences, embedded technology, system on chips (SOC) design and physiological signal processing are integrated in this work. Moreover, a chip is built for real-time electroencephalography (EEG) processing purposes and a Brain Electrical Activity Mapping (BEAM) system, and a knowledge database is constructed to diagnose psychosis and body challenges in learning various behaviors and signals antithesis by a fuzzy inference engine. This work is completed with a medical support system developed for the mentally disabled or the elderly abled.
Highlights
As an extension of our previous and ongoing projects on improvement of biomedical technologies, this work aims to design a chip for electroencephalography (EEG) signal measurement in a real-time multi-channel mode
The information contained in an EEG is displayed in colors in this work as a consequence of the integration of chip design with signal processing into neurological science field
A quantitative analysis is made through Brain Electrical Activity Mapping (BEAM), other than EEG, for accurate diagnosis of complicated diseases
Summary
As an extension of our previous and ongoing projects on improvement of biomedical technologies, this work aims to design a chip for electroencephalography (EEG) signal measurement in a real-time multi-channel mode. This study is continued with a focus on an embedded system design through the combination of a PXA 270 (the Intel® PXA270 processor is an integrated system-on-a-chip microprocessor for high performance, dynamic, low-power portable handheld and hand-set devices as well as embedded platforms.) processor and an SOPC-NIOSII EDA/SOPC (System-on-a-Programmable-Chip) system platform with a field-programmable gate array (FPGA). Various medical treatment technologies and researches have advanced significantly over the past few years, there are still an inadequate number of biomedical signal acquisition technologies with an FPGA based embedded system operating in a real-time multi-channel mode. EEG signal acquisition quality, a SOC, designated the BrainIC, is designed and implemented.
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