Data Set Information:

2126个胎儿心电图（CTG）被自动处理，并测量各自的诊断特征。三位产科专家也对CTG进行了分类，并为每个CTG分配了一致的分类标签。分类既与形态学模式（a、B、C…）有关，也与胎儿状态（N、S、P）有关。因此，该数据集可用于10类或3类实验。

Attribute Information:

LB - FHR baseline (beats per minute)
AC - # of accelerations per second
FM - # of fetal movements per second
UC - # of uterine contractions per second
DL - # of light decelerations per second
DS - # of severe decelerations per second
DP - # of prolongued decelerations per second
ASTV - percentage of time with abnormal short term variability
MSTV - mean value of short term variability
ALTV - percentage of time with abnormal long term variability
MLTV - mean value of long term variability
Width - width of FHR histogram
Min - minimum of FHR histogram
Max - Maximum of FHR histogram
Nmax - # of histogram peaks
Nzeros - # of histogram zeros
Mode - histogram mode
Mean - histogram mean
Median - histogram median
Variance - histogram variance
Tendency - histogram tendency
CLASS - FHR pattern class code (1 to 10)
NSP - fetal state class code (N=normal; S=suspect; P=pathologic)

Relevant Papers:

Ayres de Campos et al. (2000) SisPorto 2.0 A Program for Automated Analysis of Cardiotocograms. J Matern Fetal Med 5:311-318

Citation Request:

Please refer to the Machine Learning Repository's citation policy

Marques de S??, J.P., jpmdesa '@' gmail.com, Biomedical Engineering Institute, Porto, Portugal.
Bernardes, J., joaobern '@' med.up.pt, Faculty of Medicine, University of Porto, Portugal.
Ayres de Campos, D., sisporto '@' med.up.pt, Faculty of Medicine, University of Porto, Portugal.