DocumentCode :
2820486
Title :
Apnea detection from 24-hour recordings of respiration in chronic heart failure patients
Author :
Varanini, M. ; Mortara, A. ; Raciti, M. ; La Rovere, Maria Teresa ; Maestri, R. ; Pinna, GD ; Bertinelli, M. ; Emdin, M.
Author_Institution :
Inst. of Clinical Physiol., CNR, Pisa, Italy
fYear :
2000
fDate :
2000
Firstpage :
489
Lastpage :
492
Abstract :
Patients with heart failure may present periodic breathing and Cheyne-Stokes respiration during polygraphic laboratory monitoring. Free-living 24-hour respiratory ambulatory recording should improve detection of abnormal breathing pattern. To test this hypothesis 32 heart failure patients underwent both 20-minute laboratory short-term recording and long-term ambulatory recording of ECG and respiratory signal. Automatic apnea identification has been performed by a technique based on amplitude demodulation of a filtered and enhanced respiratory signal. Automatic detection was effective for the identification of apneas/hypopneas both at day- and nighttime, long-term recordings showed an improved diagnostic accuracy as compared to short-term ones
Keywords :
electrocardiography; medical signal detection; patient monitoring; pneumodynamics; 20 min; 24 h; 24-hour respiration recordings; abnormal breathing pattern detection; amplitude demodulation; chronic heart failure patients; daytime; filtered enhanced respiratory signal; hypopneas; improved diagnostic accuracy; long-term ambulatory recording; nighttime; polygraphic laboratory monitoring; Adaptive filters; Cardiology; Demodulation; Filtering; Heart; Interpolation; Laboratories; Signal processing; Time measurement; Transducers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers in Cardiology 2000
Conference_Location :
Cambridge, MA
ISSN :
0276-6547
Print_ISBN :
0-7803-6557-7
Type :
conf
DOI :
10.1109/CIC.2000.898564
Filename :
898564
Link To Document :
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