Title :
Respiratory reflex analysis by Hilbert filtering
Author :
Teodorescu, Horia N. ; Chelaru, Mircea M.
Author_Institution :
Dept. of Electr. Eng., Tech. Univ. of Iasi, Romania
Abstract :
An investigation of the possibility of data enhancement and accuracy improvement in the de visu and automatic analysis of the respiratory reflexes is reported. Data compression is performed in the frequency domain and is based on a successive Hilbert transform of short Fourier spectrum signals. Preliminary results indicate that both human and machine segmentation and pattern classification scores are improved by this method
Keywords :
biomedical measurement; signal processing; Hilbert filtering; accuracy improvement; automatic analysis; data compression; data enhancement; de visu analysis; frequency domain; human segmentation; machine segmentation; pattern classification; respiratory reflex analysis; short Fourier spectrum signals; Data compression; Drugs; Filtering; Fourier transforms; Frequency domain analysis; Information analysis; Pattern analysis; Performance analysis; Signal analysis; Signal processing;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.95927
