Title :
Generalized algorithm of detection and classification in uterine electromyography signal
Author :
Khalil, Mohamad ; Duchêne, Jacques ; Marque, Catherine
Author_Institution :
Univ. of Technol. of Troyes, France
fDate :
28 Oct-1 Nov 1998
Abstract :
In this paper, we present a method of detection and classification of events well adapted to uterine EMG processing. A multidimensional method of detection will be presented. It is based on the sequential computation of the likelihood ratio after signal decomposition on pertinent scales using wavelet transform. Hypothesis rejection is achieved using variance covariance matrices computed from the scales. This approach leads to different detection and isolation delays, the former being defined by the detection threshold, the latter depending on the estimation time of the covariance matrix. This method is adaptive and allows event detection without necessarily returning to the null hypothesis H0. It has been applied on uterine EMG and gives satisfactory results in both detection and classification
Keywords :
covariance matrices; electromyography; maximum likelihood detection; medical signal detection; medical signal processing; multidimensional signal processing; obstetrics; patient monitoring; signal classification; signal representation; wavelet transforms; EMG signal processing; adaptive method; detection delays; detection threshold; events classification; events detection; generalized algorithm; hypothesis rejection; isolation delays; likelihood ratio; matrix estimation time; multidimensional method; patient monitoring; pertinent scales; pregnancy; recursive calculation; sequential computation; signal decomposition; signal representation; uterine EMG signal; variance covariance matrices; wavelet transform; Covariance matrix; Delay estimation; Electromyography; Event detection; Fetus; Frequency; Multidimensional systems; Pregnancy; Signal resolution; Wavelet transforms;
Conference_Titel :
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-5164-9
DOI :
10.1109/IEMBS.1998.745171