RESP-24: a computer program for the investigation of 24-h breathing abnormalities in heart failure patients

Computer Methods and Programs in Biomedicine
R MaestriM T La Rovere

Abstract

In this paper, we describe a computer program (RESP-24) specifically devised to assess the prevalence and characteristics of breathing disorders in ambulant chronic heart failure patients during the overall 24 h period. The system works on a single channel respiratory signal (RS) recorded through a Holter-like portable device. In the pre-processing stage RESP-24 removes noise, baseline drift and motion artefacts from the RS using a non-linear filter, enhances respiratory frequency components through high-pass filtering and derives an instantaneous tidal volume (ITV) signal. The core processing is devoted to the identification and classification of the breathing pattern into periodic breathing (PB), normal breathing or non-classifiable breathing using a 60 s segmentation, and to the identification and estimation of apnea and hypopnea events. Sustained episodes of PB are detected by cross analysis of both the spectral content and time behavior of the ITV signal. User-friendly interactive facilities allow all the results of the automatic analysis procedure to be edited. The final report provides a set of standard and non-standard parameters quantifying breathing abnormalities during the 24 h period, the night-time and the day-time...Continue Reading

References

Aug 1, 1993·The American Review of Respiratory Disease·M NaughtonT D Bradley
Jan 1, 1996·American Journal of Respiratory and Critical Care Medicine·P J Hanly, N S Zuberi-Khokhar
Mar 1, 1996·Medical & Biological Engineering & Computing·G D PinnaA Di Cesare
Aug 1, 1996·American Journal of Respiratory and Critical Care Medicine·M J HallT D Bradley
Jun 9, 1998·Computer Methods and Programs in Biomedicine·R Maestri, G D Pinna

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Citations

Apr 8, 2010·Journal of Computational Neuroscience·Roberto MaestriGian Domenico Pinna
Apr 9, 2016·Computers in Biology and Medicine·İlhan Umut
Aug 10, 2019·Journal of Sleep Research·Roberto MaestriGian Domenico Pinna

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