中国医疗设备2017，Vol.32Issue(12)：52-56,5.DOI:10.3969/j.issn.1674-1633.2017.12.012
基于脑电图机中的干扰故障检测方法研究
Research on Interference Fault Detection Method Based on Electroencephalograph
闫小如 1刘军1
作者信息
- 1. 连云港市第一人民医院 临床医学工程部,江苏 连云港 222000
- 折叠
摘要
Abstract
To locate the malfunction characteristics of the electroencephalogram (EEG) quickly and accurately under many kinds of interference, the present study proposed an EEG detection method based on the spectrum feature of hilbert-huang. The signal collection technology was used for the diagnosis of EEG machine data acquisition and signal fitting.The second-order adaptive IIR trapper collection was applied to perform the EEG signal interference filter purification processing, and the time-frequency analysis was carried out on the purification of the output signal. EEG machine fault signal was decomposed into several intrinsic mode functions through the empirical mode decomposition analysis, and each intrinsic mode components was conducted a Hilbert Huang transform to realize the Hilbert Huang-spectrum feature extraction. The interference of EEG machine fault detection was finally realized by using the extracted characteristic as the training sample. The results of simulation showed that using this method to interfere with the accuracy of the fault detection of EEG machine was good, which had a strong anti-jamming capability and good ability of fault diagnosis.关键词
脑电图机/干扰故障/检测/特征提取/时频分析Key words
electroencephalograph/interference fault/detection/feature extraction/time-frequency analysis分类
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闫小如,刘军..基于脑电图机中的干扰故障检测方法研究[J].中国医疗设备,2017,32(12):52-56,5.
