Paper Info
Title
Interval type-2 fuzzy logic based antenatal care system using phonocardiography.
Abstract
The assessment of fetal wellbeing depends heavily on variations in fetal heart rate (FHR) patterns. The variations in FHR patterns are very complex in nature thus its reliable interpretation is very difficult and often leads to erroneous diagnosis. We propose a new method for evaluation of fetal health status based on interval type-2 fuzzy logic through fetal phonocardiography (fPCG). Type-2 fuzzy logic is a powerful tool in handling uncertainties due to extraneous variations in FHR patterns through its increased fuzziness of relations. Four FHR parameters are extracted from each fPCG signal for diagnostic decision making. The membership functions of these four inputs and one output are chosen as a range of values so as to represent the level of uncertainty. The fuzzy rules are constructed based on standard clinical guidelines on FHR parameters. Experimental clinical tests have shown very good performance of the developed system in comparison with the FHR trace simultaneously recorded through standard fetal monitor. Statistical evaluation of the developed system shows 92% accuracy. With the proposed method we hope that, long-term and continuous antenatal care will become easy, cost effective, reliable and efficient.
Year
DOI
Venue
2014
10.1016/j.asoc.2013.08.016
Appl. Soft Comput.
Keywords
Field
DocType
fhr parameter,standard fetal monitor,fetal wellbeing,fhr pattern,fuzzy rule,fetal phonocardiography,fetal health status,antenatal care system,fhr trace,type-2 fuzzy logic,fetal heart rate
Clinical tests,Fuzzy logic,Artificial intelligence,Mathematics,Machine learning
Journal
Volume
ISSN
Citations 
14
1568-4946
5
PageRank 
References 
Authors
0.41
14
3
Name
Order
Citations
PageRank
Vijay S. Chourasia1222.72
Anil Kumar Tiwari26517.51
Ranjan Gangopadhyay3101.25