An embedded EEG analyzing system based on μC/os-II

Author

Liu, Boqiang ; Zhang, Yanyan ; Liu, Zhongguo ; Yin, Cong

Author_Institution

Shandong Univ., Jinan

fYear

2007

fDate

22-26 Aug. 2007

Firstpage

2468

Lastpage

2471

Abstract

An EEG analyzing system based on advanced RISC machines (ARM) and μC/os-II real time operating system is discussed in this paper. The detailed system design including the producing of event signals and the synchronization between event signals and EEG signals is described. The details of data acquisition, data preprocessing, data transmitting through USB and system configurations are also contained in the system design. In this paper the design of high capability amplifier and the software of embedded subsystem are discussed. Also the design of realizing multi-task system in μC/os-II, the definition of communicating protocols between PC and the equipment and the detail configurations of USB are given out. The final test shows that the filter behaviors of this equipment are feasible.

Keywords

electroencephalography; embedded systems; medical signal processing; multiprogramming; operating systems (computers); reduced instruction set computing; synchronisation; μC/os-II real time operating system; RISC machine; USB; data acquisition; data preprocessing; embedded EEG analyzing system; multitask system; signal synchronization; Data acquisition; Data preprocessing; Electroencephalography; Embedded software; Operating systems; Protocols; Real time systems; Reduced instruction set computing; Testing; Universal Serial Bus; μC/os-II; EEG recording system; USB; electroencephalography; embedded system; Amplifiers; Brain; Brain Mapping; Computer Communication Networks; Computers; Diagnosis, Computer-Assisted; Electroencephalography; Equipment Design; Evoked Potentials; Humans; Microcomputers; Programming Languages; Software;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE

Conference_Location

Lyon

ISSN

1557-170X

Print_ISBN

978-1-4244-0787-3

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2007.4352828

Filename

4352828