Marion-Poll F, Tobin T R
INRA-CNRS (URA 1190), Laboratoire de Neurobiologie Comparée des Invertébrés, Bures-sur-Yvette, France.
J Neurosci Methods. 1991 Mar;37(1):1-6. doi: 10.1016/0165-0270(91)90015-r.
We describe and evaluate a software procedure for detecting and discriminating action potentials superimposed on a fluctuating DC baseline. Using an algorithm implemented in Fortran and Assembly language, spikes are detected by comparing the low-pass filtered first derivative of the signal with a preset threshold constant. This detection algorithm efficiently removes the DC baseline fluctuations usually encountered in sensory receptor recordings. It can function in real-time depending on the specific hardware configuration and program implementation. This approach enables the user to acquire direct DC-amplified signals, minimizing filter distortions of the action potential waveform.
我们描述并评估了一种用于检测和区分叠加在波动直流基线上的动作电位的软件程序。使用用Fortran和汇编语言实现的算法，通过将信号的低通滤波一阶导数与预设阈值常数进行比较来检测尖峰。这种检测算法有效地消除了感觉受体记录中通常遇到的直流基线波动。根据特定的硬件配置和程序实现，它可以实时运行。这种方法使用户能够获取直接直流放大信号，将动作电位波形的滤波器失真降至最低。
