Title :
On the classification of compressed sensed signals
Author :
Fira, M. ; Goras, L. ; Cleju, N. ; Barabasa, C.
Author_Institution :
Inst. of Comput. Sci., Romanian Acad., Iaşi, Romania
fDate :
June 30 2011-July 1 2011
Abstract :
This paper presents a study on the possibilities for the classification of ECG signals acquired based on the theory of compressed sensing (CS). We propose an analysis of the classification results of the ECG signals acquired according to Nyquist theorem as compared to compress sensed signals using two different classifiers, namely nearest neighbor type classifier and a MLP neural network.
Keywords :
electrocardiography; medical signal processing; neural nets; pattern classification; signal classification; signal reconstruction; ECG signal classification; MLP neural network; Nyquist theorem; compressed sense signal classification; nearest neighbor type classifier; Compressed sensing; Dictionaries; Electrocardiography; Matching pursuit algorithms; Pathology; Sparse matrices; Training;
Conference_Titel :
Signals, Circuits and Systems (ISSCS), 2011 10th International Symposium on
Conference_Location :
lasi
Print_ISBN :
978-1-61284-944-7
DOI :
10.1109/ISSCS.2011.5978769
