NDLI: Simulation, feature extraction and disorder detection (using fuzzy logic) of uterine contractions

Content Provider	IEEE Xplore Digital Library
Author	Tiwari, N. Padmanabhuni, S.S. Garg, R. Chourasia, V.
Copyright Year	2014
Description	Author affiliation: Manoharbhai Patel Inst. of Eng. & Technol., Gondia, India (Chourasia, V.) \|\| L.N.M. Inst. of Inf. Technol., Jaipur, India (Tiwari, N.; Padmanabhuni, S.S.; Garg, R.)
Abstract	With day to day changes in lifestyle, the probability of miscarriages, preterm delivery and various other structural and functional abnormalities in fetus have been observed to increase exponentially. With growing number of pregnancies, continual monitoring of the health status of the mother and the fetus has therefore become increasingly important. Quantitative assessment of the uterine activity by medical experts can be fundamental during both pregnancy and delivery. The uterine contractions can guide the physician to choose a particular therapy so as to relieve the mother. For the diagnosis of the uterine activity, a large number of samples were required. However, unavailability of the signals in the processable form led to an urgent need of simulating the uterine contraction like signals in the virtual environment. The signals were first simulated and values of the important diagnostic parameters of uterine activities were then extracted. A fuzzy expert model to infer the health condition of the patients was then developed and implemented. The developed system also reported the disorder present (if any). Our system enabled the patient to not to rush to her doctor everytime she underwent a contraction. The fuzzy system categorized the contractions as normal, suspicious or abnormal. Thus making it comfortable for the mother to contact her doctor only if urgently needed. Simulation of the signals was carried out successfully under the supervision of a medical expert. The developed fuzzy inference system, for detecting the normality/abnormality of the signals gave results with an efficiency of 0.98 and related the status of the contractions with the key features of the uterine contractions.
Starting Page	249
Ending Page	254
File Size	1327166
Page Count	6
File Format	PDF
ISBN	9781479959341
DOI	10.1109/SOCPAR.2014.7008014
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-11
Publisher Place	Tunisia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intensity Duration Labor Mercury (metals) Pregnancy Fuzzy logic Uterine Contractions Feature extraction Resting Tone Monitoring Medical diagnostic imaging Frequency of contractions Interval
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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