DocumentCode
1804259
Title
Circadian dynamics of respiratory parameters from ambulatory monitoring
Author
Raciti, M. ; Pisani, P. ; Emdin, M. ; Carpeggiani, C. ; Ruschi, S. ; Kraft, G. ; Francesconi, R. ; Membretti, G. ; Marchesi, C.
Author_Institution
Inst. of Clinical Physiol., CNR, Pisa, Italy
fYear
1994
fDate
25-28 Sept. 1994
Firstpage
581
Lastpage
584
Abstract
Knowledge of respiratory activity is of interest in patients with cardiac, pulmonary and neurological diseases; moreover, it is helpful for a proper evaluation of the autonomic nervous system influence on cardiac activity. To achieve 24-hour recording of ECG and respiratory activity an original solution was provided by the use of a piezoelectric transducer (PVDF) implemented in a FM 2-channel Holter recorder. A computer program for the dynamic analysis of the respiratory signal over the 24 hours, oriented to the detection of apnea and to the derivation of the clinically most significant parameters (such as respiratory rate, tidal volume, total inspiratory and expiratory time), was developed and applied in a preliminary group of 13 normal controls. A night-time decrease in respiratory rate was observed due to an increase in both inspiratory and expiratory time, together with a corresponding decrease in tidal volume presumably related to reduced metabolic demand. An analysis of the influence of the respiratory rate and the "computed tidal volume" upon R-R spectral indexes was performed.<>
Keywords
electrocardiography; medical signal processing; patient monitoring; pneumodynamics; 24 h; R-R spectral indexes; ambulatory monitoring; apnea detection; cardiac diseases; circadian dynamics; computed tidal volume; neurological diseases; pulmonary diseases; reduced metabolic demand; respiratory activity; respiratory parameters; respiratory rate; total expiratory time; total inspiratory time; Cardiac disease; Cardiology; Cardiovascular diseases; Condition monitoring; Electrocardiography; Heart rate; Knowledge engineering; Piezoelectric transducers; Signal analysis; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers in Cardiology 1994
Conference_Location
Bethesda, MD, USA
Print_ISBN
0-8186-6570-X
Type
conf
DOI
10.1109/CIC.1994.470125
Filename
470125
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