Gandolfo G, Glin L, Lacoste G, Rodi M, Gottesmann G
Laboratoire de Psychophysiologie, Faculté des Sciences et Techniques, Parc Valrose, Nice, France.
Int J Biomed Comput. 1988 Oct;23(1-2):83-95. doi: 10.1016/0020-7101(88)90066-9.
An automatic scoring system in real time of sleep-wake behavior in the rat was elaborated on microcomputer APPLE II. Four electrophysiological recording channels were used to distinguish seven behavioral states. Because the rat shows behavioral stages which are short-lasting, the analysis is performed second by second. It is based on the detection of the signal energy in specific frequency bands. The percentage of time passed in each stage is computed every 15 min, 1 h, 6 h and 24 h, the analysis extending during several days without interruption. The data are also printed out in a listing in real time and histograms in batch mode. Because of the interindividual differences, a calibration is needed. It is performed with a program in batch mode which allows an adjustment of parameters of determination from given specific digitized sequence in each rat. The accuracy of the automatic method was tested by the C contingency test, the theoretical maximal level being at 0.93: the intra- and inter-researchers contingency was 0.89, that between researchers and the computer was 0.85.
在苹果II型微型计算机上开发了一种大鼠睡眠-觉醒行为实时自动评分系统。使用四个电生理记录通道来区分七种行为状态。由于大鼠的行为阶段持续时间较短，因此逐秒进行分析。它基于特定频段信号能量的检测。每15分钟、1小时、6小时和24小时计算每个阶段所经过的时间百分比，分析持续数天且不间断。数据还会实时打印成列表，并以批处理模式生成直方图。由于个体差异，需要进行校准。通过批处理模式程序进行校准，该程序允许根据每只大鼠给定的特定数字化序列调整测定参数。通过C列联检验测试了自动方法的准确性，理论最大水平为0.93：研究人员内部和研究人员之间的列联系数为0.89，研究人员与计算机之间的列联系数为0.85。
