生物电放大电路多通道频谱差异校正算法

发布时间：2018-05-09 10:01

本文选题：多通道 + 生物电　；参考：《仪器仪表学报》2014年04期

【摘要】：多通道生物电放大电路通道间固有的频谱特性差异影响后续模式识别的准确率,针对这一问题,提出了一种基于通道相幅频特性的频谱差异校正算法。首先,分析了多通道间频谱差异的影响,在此基础上给出算法实现原理及步骤:先利用各通道输出信号与其采样信号的傅里叶变换关系确定其频域离散校正区间,并估算该区间上各离散频率点的幅度校正因子和相位校正偏置,进而实施校正运算,最后通过傅里叶逆变换得到校正后的信号。仿真结果表明,该算法能够将通道间频谱差异的不良影响降低到50%以下;将该算法用于人体穴位识别的数据预处理上,结果表明,应用该算法后,穴位识别准确率得到显著提高。
[Abstract]:The inherent difference in spectrum characteristics between channels of multichannel bioelectric amplifiers affects the accuracy of subsequent pattern recognition. In order to solve this problem, a spectrum difference correction algorithm based on channel phase amplitude and frequency characteristics is proposed. Firstly, the influence of spectrum difference between multiple channels is analyzed, and the realization principle and steps of the algorithm are given. Firstly, the discrete correction interval in frequency domain is determined by the Fourier transform relation between the output signal of each channel and its sampled signal. The amplitude correction factor and phase correction bias of each discrete frequency point in the interval are estimated, and then the correction operation is carried out. Finally, the corrected signal is obtained by inverse Fourier transform. The simulation results show that the algorithm can reduce the bad effect of spectrum difference between channels to less than 50%, and the algorithm is used to preprocess the data of human acupoint recognition. The accuracy of acupoint recognition was improved significantly.
【作者单位】：西安电子科技大学电子工程学院;上海师范大学信息与机电工程学院;桂林电子科技大学电子工程学院;
【基金】：国家自然科学基金(60971004)资助项目
【分类号】：TN911.7

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