Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ahmed Amirou"'
Publikováno v:
Journal of Electrical Engineering & Technology. 17:2061-2070
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53b8b95d5944159e8c298acd8ac8f0db
https://doi.org/10.1007/s42835-022-01009-2
https://doi.org/10.1007/s42835-022-01009-2
Publikováno v:
Digital Signal Processing. 62:137-149
In this paper, the use of a Compact Support Kernel (CSK) instead of the Gaussian window in the S-transform is proposed. The CSK is derived from the Gaussian but overcomes its practical drawbacks while preserving a large number of its useful propertie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5a5a44c8347e4679efd2797fda1608a
https://doi.org/10.1016/j.dsp.2016.11.008
https://doi.org/10.1016/j.dsp.2016.11.008
Publikováno v:
Computer Methods and Programs in Biomedicine
Computer Methods and Programs in Biomedicine, Elsevier, 2014, pp.1-9. ⟨10.1016/j.cmpb.2014.04.008⟩
Computer Methods and Programs in Biomedicine, Elsevier, 2014, pp.1-9. ⟨10.1016/j.cmpb.2014.04.008⟩
International audience; This paper presents a novel method for QRS detection in electrocardiograms (ECG). It is basedon the S-Transform, a new time frequency representation (TFR). The S-Transform providesfrequency-dependent resolution while maintaini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb6537dd17216964e5203fa81c825350
https://doi.org/10.1016/j.cmpb.2014.04.008
https://doi.org/10.1016/j.cmpb.2014.04.008
Publikováno v:
2015 3rd International Renewable and Sustainable Energy Conference (IRSEC).
Several methods have been proposed for detection and classification of power quality (PQ). A novel algorithm to detect and identify faults power swings is proposed based on S-Transform and Approximate Shannon Energy (SSE) for power quality analysis.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea41f3bc090496cc4a9ca933da4285ef
https://doi.org/10.1109/irsec.2015.7454937
https://doi.org/10.1109/irsec.2015.7454937
Publikováno v:
IECON
This paper presents a novel method for power quality analysis based on S-Transform. The objective is the detection of certain disturbances that pollute the electrical network such as interruptions, sags and swells. S-Transform provides frequency-depe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6badbcc930c9c531e94c7a58bb034345
https://doi.org/10.1109/iecon.2014.7048849
https://doi.org/10.1109/iecon.2014.7048849
Autor:
Ahmed, Amirou
Publikováno v:
Informatica (Ljubljana)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3825::cae940368ea417ea5e73f781e69c6762
http://www.dlib.si/details/URN:NBN:SI:doc-59V9T490
http://www.dlib.si/details/URN:NBN:SI:doc-59V9T490
Publikováno v:
ECG beat classification using a cost sensitive classifier
ECG beat classification using a cost sensitive classifier, 2013, 111 (3), pp.570-577. ⟨10.1016/j.cmpb.2013.05.011⟩
ECG beat classification using a cost sensitive classifier, 2013, 111 (3), pp.570-577. ⟨10.1016/j.cmpb.2013.05.011⟩
International audience; In this paper, we introduce a new system for ECG beat classification using Support Vector Machines (SVMs) classifier with rejection. After ECG preprocessing, the QRS complexes are detected and segmented. A set of features incl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88cf0247a11f5d3e751338d502b83af1
https://hal.archives-ouvertes.fr/hal-00985552/document
https://hal.archives-ouvertes.fr/hal-00985552/document
Publikováno v:
Computer methods and programs in biomedicine. 107(3)
Highlights? We make QRS detection using a single threshold obtained from wavelet coefficients. ? Power spectrum in different energy levels is used to calculate detector threshold. ? QRS energy is highest in the range (11.25-22.5Hz) for normal beats.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc0d051e95eb813c33419ca71d9e41a9
https://pubmed.ncbi.nlm.nih.gov/22296976
https://pubmed.ncbi.nlm.nih.gov/22296976
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 26:1250001
In this paper, we introduce a new system for ECG beat classification using support vector machines classifier with a double hinge loss. The proposed classifier rejects samples that cannot be classified with enough confidence. Specifically in medical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::157b3cc9559aad1fcf7039305a4b2ee1
https://doi.org/10.1142/s0218001412500012
https://doi.org/10.1142/s0218001412500012