원문정보
초록
영어
EEG apparatus are expensive and bulky. Their real-time performance is weak, and EEG signals are easy to be distorted. In this paper, a low-cost portable EEG signal acquisition system based on DSP is developed. By a noninvasive method with bipolar leads, weak EEG signals are induced to the pre-processing circuits, where they will undergo multi-level amplifying and filtering. Then, the analog signals are converted into digital signals using ADS8320. These digitized signals are filtered in DSP (TMS320VC5509) so that the power interference and physiological artifacts are removed with LMS (Last Mean Square) algorithm and ICA (Independent Component Analysis) algorithm. Experimental results demonstrate that the system can acquire weak EEG signals in real time, display and save the processing results. The acquisition system has the advantages of usableness and portability, and helpful to the popularity of community-based and family-based EEG diagnostic equipments.
목차
1. Introduction
2. System Design
3. Hardware Design
3.1. Buffer Filtering and Amplifier
3.2. Electrode Connection Status Detecting and the Design of Filters
3.3. The Design of Digit Circuits
4. Data Processing Algorithms
4.1. Removing Power Reference
4.2. EOG Artifacts Removing
5. Experimental Result
6. Conclusions
References