DocumentCode
380911
Title
Adaptive approach for change detection in EMG recordings
Author
El Falou, W. ; Khalil, M. ; Duchêne, J.
Author_Institution
Fac. of Eng. I, Lebanese Univ., Tripoli, Lebanon
Volume
2
fYear
2001
fDate
2001
Firstpage
1875
Abstract
In this paper we present a new algorithm to detect abrupt changes in a signal when there is no a priori knowledge of the hypotheses on the process to be detected. This algorithm is based on the CUSUM algorithm. It can be applied in case of frequency and energy changes. This algorithm works when the samples are dependent and autoregressive modeling is needed. It is used to distinguish EMG segments from noise segments.
Keywords
adaptive signal detection; autoregressive processes; electromyography; medical signal detection; noise; CUSUM algorithm; EMG recordings; EMG segments; a priori knowledge; adaptive approach; autoregressive modeling; change detection; energy changes; frequency changes; likelihood ratio; noise segments; Biomedical signal processing; Change detection algorithms; Electromyography; Event detection; Frequency; Knowledge engineering; Probability density function; Signal processing; Signal processing algorithms; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
ISSN
1094-687X
Print_ISBN
0-7803-7211-5
Type
conf
DOI
10.1109/IEMBS.2001.1020591
Filename
1020591
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