NDLI: Spectral analysis of the RR series and the respiratory flow signal on patients in weaning process

Content Provider	IEEE Xplore Digital Library
Author	Arcentales, A. Giraldo, B.F. Caminal, P. Diaz, I. Benito, S.
Copyright Year	2010
Description	Author affiliation: Dept. ESAII, Universitat Politècnica de Catalunya (UPC), Spain (Arcentales, A.; Caminal, P.) \|\| Dept. ESAII, Escola Universitaria Enginyeria, Tècnica Industrial de Barcelona (EUETIB), Universitat Politècnica de Catalunya (UPC), Institut de Bioingenyeria de Catalunya (IBEC) and CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN). c/., Pau Gargallo, 5, 08028, Barcelona, Spain (Giraldo, B.F.) \|\| Dept. Intensive Care Medicine, Hospital de la Santa Creu i Sant Pau, Barcelona, Spain (Diaz, I.; Benito, S.)
Abstract	A considerable number of patients in weaning process have problems to keep spontaneous breathing during the trial and after it. This study proposes to extract characteristic parameters of the RR series and respiratory flow signal according to the patients' condition in weaning test. Three groups of patients have been considered: 93 patients with successful trials (group S), 40 patients that failed to maintain spontaneous breathing (group F), and 21 patients who had successful weaning trials, but that had to be reintubated before 48 hours (group R). The characterization was performed using spectral analysis of the signals, through the power spectral density, cross power spectral density and Coherence method. The parameters were extracted on the three frequency bands (VLF, LF and HF), and the principal statistical differences between groups were obtained in bands of VLF and HF. The results show an accuracy of 76.9% in the classification of the groups S and F.
Starting Page	2485
Ending Page	2488
File Size	274430
Page Count	4
File Format	PDF
ISBN	9781424441235
ISSN	1557170X
DOI	10.1109/IEMBS.2010.5626533
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-31
Publisher Place	Argentina
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ventilation Spectral analysis Cardiology Frequency measurement Resonant frequency Electrocardiography Dispersion
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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