Lammers Wim J E P, Michiels B, Voeten J, Ver Donck L, Schuurkes J A J
Department of Physiology, Faculty of Medicine and Health Sciences, UAE University, Al Ain, United Arab Emirates.
Med Biol Eng Comput. 2008 Feb;46(2):121-9. doi: 10.1007/s11517-007-0294-7. Epub 2008 Jan 17.
Myoelectric recordings from the gastrointestinal (GI) tract in conscious animals have been limited in duration and site. Recently, we have implanted 24 electrodes and obtained electrograms from these sites simultaneously (200 Hz sampling rate; 1.1 MB/min data stream). An automated electrogram analysis was developed to process this large amount of data. Myoelectrical recordings from the GI tract often consist of slow wave deflections followed by one or more action potentials (=spike deflections) in the same traces. To analyze these signals, a first module separates the signal into one containing only slow waves and a second one containing only spikes. The timings of these waveforms were then detected, in real time, for all 24 electrograms, in a separate slow wave detection module and a separate spike-detection module. Basic statistics such as timing and amplitudes and the number of spikes per slow wave were performed and displayed on-line. In summary, with this online analysis, it is possible to study for long periods of time and under various experimental conditions major components of gastrointestinal motility.
在清醒动物中,胃肠道(GI)的肌电记录在持续时间和记录部位上都受到限制。最近,我们植入了24个电极,并同时从这些部位获取了电描记图(采样率为200 Hz;数据流为1.1 MB/分钟)。我们开发了一种自动电描记图分析方法来处理如此大量的数据。胃肠道的肌电记录通常由慢波偏转组成,随后在同一记录中出现一个或多个动作电位(=尖峰偏转)。为了分析这些信号,第一个模块将信号分离为仅包含慢波的信号和仅包含尖峰的信号。然后,在一个单独的慢波检测模块和一个单独的尖峰检测模块中,实时检测所有24个电描记图的这些波形的时间。进行了诸如时间、幅度以及每个慢波的尖峰数量等基本统计,并在线显示。总之,通过这种在线分析,可以在各种实验条件下长时间研究胃肠道运动的主要成分。