The resources for this dataset can be found at https://www.openml.org/d/1466

Author: J. P. Marques de Sá, J. Bernardes, D. Ayers de Campos.  
Source: [UCI](https://archive.ics.uci.edu/ml/datasets/Cardiotocography)  
Please cite: Ayres de Campos et al. (2000) SisPorto 2.0 A Program for Automated Analysis of Cardiotocograms. J Matern Fetal Med 5:311-318, [UCI](https://archive.ics.uci.edu/ml/citation_policy.html)

2126 fetal cardiotocograms (CTGs) were automatically processed and the respective diagnostic features measured. The CTGs were also classified by three expert obstetricians and a consensus classification label assigned to each of them. Classification was both with respect to a morphologic pattern (A, B, C. ...) and to a fetal state (N, S, P). Therefore the dataset can be used either for 10-class or 3-class experiments.

### 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