alexa Rule-Based Algorithm for Intrapartum Cardiotocograph Pattern Features Extraction and Classification | Abstract

Health Science Journal
Open Access

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations

700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article Open Access


Computerized FHR features extraction and Cardiotocograph (CTG) classification would support obstetricians in CTG analysis and enhance their interpretation. The main objective of this paper is to develop a simple reliable algorithm for FHR feature extraction and systematic CTG classification based on MATLAB rule based functions and the Royal College of Obstetricians and Gynecologists (RCOG) guideline. An application was developed to extract the basic features of FHR, such as: baseline, baseline variability, acceleration and deceleration based on (RCOG) guideline. A classification system using MATLAB was then introduced to classify the CTG signal patterns into normal, suspicious or pathological based on the RCOG guideline. The computerized interpretations of 80 CTG signals were compared with the visual interpretation by five obstetricians. The obtained results show slight difference of about ±2 beats per minutes (b.p.m.) and 5 b.p.m. for variability. The algorithm and obstetricians were in agreement on number and type of decelerations but differed on the number of accelerations by up to (±4), results in classifying CTG signals. These results are considered promising for the use of computerised CTG interpretation in the hospital as well as a component homecare facilities for pregnant women.

To read the full article Peer-reviewed Article PDF image

Author(s): Shahad Alyousif MA Mohd Bilal B M Sheikh and M Algunaidi


Cardiotocograph, Fetal heart rate, Uterine contraction, Electronic featal monitoring, Personal Health

Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri, Food, Aqua and Veterinary Science Journals

Dr. Krish

1-702-714-7001 Extn: 9040

Clinical and Biochemistry Journals

Datta A

1-702-714-7001Extn: 9037

Business & Management Journals


1-702-714-7001Extn: 9042

Chemical Engineering and Chemistry Journals

Gabriel Shaw

1-702-714-7001 Extn: 9040

Earth & Environmental Sciences

Katie Wilson

1-702-714-7001Extn: 9042

Engineering Journals

James Franklin

1-702-714-7001Extn: 9042

General Science and Health care Journals

Andrea Jason

1-702-714-7001Extn: 9043

Genetics and Molecular Biology Journals

Anna Melissa

1-702-714-7001 Extn: 9006

Immunology & Microbiology Journals

David Gorantl

1-702-714-7001Extn: 9014

Informatics Journals

Stephanie Skinner

1-702-714-7001Extn: 9039

Material Sciences Journals

Rachle Green

1-702-714-7001Extn: 9039

Mathematics and Physics Journals

Jim Willison

1-702-714-7001 Extn: 9042

Medical Journals

Nimmi Anna

1-702-714-7001 Extn: 9038

Neuroscience & Psychology Journals

Nathan T

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

John Behannon

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

1-702-714-7001 Extn: 9042

© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version