基于能量的神经元动作电位检测实验研究

Experimental study on neural action potential detection based on energy

动作电位检测是大脑神经信息处理的前提,大量噪声的存在使得精确检测动作电位活动面临困难。本文基于时域能量算子和频域能量算子,实现了两种胞外记录时低信噪比信号的动作电位提取方法。实验结果表明,在无噪声和高信噪比背景下,基于能量的方法与传统的阈值方法都能获得较好的检测效果;而当将信号中引入高斯噪声后,基于能量方法的检测结果明显优于传统的阈值方法,表明基于能量的方法在高噪声环境下具有较好的检测效果;实验也表明两种基于能量的检测方法各有优势,时域方法具有较低的误检率,而频域方法具有较高的检出率。

Detection of neural action potentials is a prerequisite for neural information processing in brain. The signal usually has a large amount of background noise, which makes it difficult to detect the neural action potentials accurately. Based on the time domain energy operator and frequency domain energy operator, time domain energy method and frequency domain energy method for detection of neural action potentials are constructed in this paper. Experimental results show that these methods can perform as good as traditional threshold detector when the signal-to-noise ratio is high. On the other hand, the proposed methods achieve higher detection ratios than the threshold detector when the signal-to-noise ratio is low. The two methods are effective for the signals with high noise. It is also shown that the time domain energy method and frequency domain energy method have their own preponderance respectively. The time domain energy method gets lower misdetection ratio, while the frequency domain energy method can get more spikes.