Application of decision tree in determining the importance of surface electrohysterography signal characteristics for recognizing uterine contractions

In conclusion, decision tree could be used to classify the uterine activities, and the Power and SamEn of un-normalized EHG segments were the most important characteristics in uterine contraction classification.
Source: Biocybernetics and Biomedical Engineering - Category: Biomedical Engineering Source Type: research