Lu, Nan, Wang, Jihong, Zhang, Chenghui, Vatish, Manu and Randeva, Harpal S. (2007) Uterine electromyography features extraction for classification of term and pre-term signals. In: International Conference on Complex Systems and Applications, Jinan, People's Republic of China, June 08-10, 2007. Published in: Dynamics of Continuous Discrete and Impulsive Systems. Series B. Applications & Algorithims, Vol.14 (No.4). pp. 1675-1679. ISSN 1492-8760.

Research output not available from this repository, contact author.

Request Changes to record.

Abstract

Surface electromyography (EMG) signal is a complex nonlinear signal which can be used in clinical for early diagnosis of preterm labor. But it is difficult to differentiate uterine contractions which lead to preterm birth by using EMG signals with current tools. In this paper, a new algorithm is proposed to extract the features from surface uterine EMG signal and to distinguish the normal term labor from abnormal preterm labor signals. In this algorithm, firstly, the signal is preprocessed to eliminate the noise and high frequency component using threshold de-noising and wavelet de-noising methods. Secondly, the fractal dimension value along the signal is calculated for the extraction of contraction patterns. Then each contraction pattern of the signal is decomposed and the average wavelet packet energy of the whole signal is calculated using wavelet packet transform. Finally, the signals are classified using artificial neural network method. The experimental results show that the classification accuracy of term labor signal and preterm labor signal can reach 64.1% which is an encouraging result.

Item Type:	Conference Item (UNSPECIFIED)
Subjects:	Q Science > QA Mathematics
Divisions:	Faculty of Science > Physics Faculty of Medicine > Warwick Medical School
Journal or Publication Title:	Dynamics of Continuous Discrete and Impulsive Systems. Series B. Applications & Algorithims
Publisher:	Watam Press
ISSN:	1492-8760
Official Date:	August 2007
Dates:	Date Event August 2007 Published
Volume:	Vol.14
Number:	No.4
Number of Pages:	5
Page Range:	pp. 1675-1679
Status:	Not Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Title of Event:	International Conference on Complex Systems and Applications
Type of Event:	Conference
Location of Event:	Jinan, People's Republic of China
Date(s) of Event:	June 08-10, 2007

Data sourced from Thomson Reuters' Web of Knowledge

Request changes or add full text files to a record

Repository staff actions (login required)

View Item