Digital Character Image Reconstruction on the Basis of Local Field Potential Signals of Pigeons
Chen Shuli1, Jiao Xingyang2, Wang Zhizhong1*, Wang Songwei1
1(School of Electrical Engineering, Zhengzhou University, Zhengzhou 450001, China) 2(Industrial Technology Research Institute of Zhengzhou University, Zhengzhou 450001, China)
Abstract：The digital character image was reconstructed by the pigeon optic tectum neurons using local field potential signal (LFP) generated by visual image stimulation. The microelectrode array was used to record the LFP signal of the neuron under the stimulus of the digital image scanning screen. The Fourier transform was performed to extract the amplitude and phase characteristics. Then the reconstruction model was constructed by using the inverse filter algorithm, and the digital image was reconstructed. The cross-correlation coefficient was used to evaluate the reconstruct digital image. This study found out that with the optimal channel combination, according to the single-factor reconstruction test, the response delay time of neurons to visual stimuli under the reconstructed model was 0.01 s, the response duration was 0.55 s, and the frequency band range was 1 Hz< f1<30 Hz、140 Hz< f2<240 Hz. Under the optimal conditions of each single factor, the cross-correlation coefficient of the ten-digital characters images (0～9) reconstructed from 8 sets of data of 4 pigeons by reconstruction model exceed 0.90 compared with the original image, and the overall cross-correlation coefficient was 0.935±0.013.In short, the neuron response induced by the scanning visual stimulation pattern of digital images can reconstruct the visual stimulation image by means of information accumulation. It also showed that the amplitude and phase characteristics of the LFP signal represented the visual stimulation image better.
陈书立, 焦兴洋, 王治忠, 王松伟. 基于鸽局部场电位信号的数字字符图像重建研究[J]. 中国生物医学工程学报, 2019, 38(4): 417-423.
Chen Shuli, Jiao Xingyang, Wang Zhizhong, Wang Songwei. Digital Character Image Reconstruction on the Basis of Local Field Potential Signals of Pigeons. Chinese Journal of Biomedical Engineering, 2019, 38(4): 417-423.
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