DocumentCode :
3562293
Title :
Ambulatory impedance pneumography device for quantitative monitoring of volumetric parameters in respiratory and cardiac applications
Author :
Mlynczak, Marcel C. ; Niewiadomski, Wiktor ; Zylinski, Marek ; Cybulski, Gerard P.
Author_Institution :
Inst. of Precision & Biomed. Eng., Warsaw Univ. of Technol., Warsaw, Poland
fYear :
2014
Firstpage :
965
Lastpage :
968
Abstract :
Aims: The estimation of respiratory flow and volume parameters is difficult to perform and uncomfortable for the patient during long-term monitoring outside the clinical environment. It is also hard to perform during sleep due to the usage of a facemask. The impedance pneumography (IP) device allows monitoring of breathing activity, estimates the respiratory rate and provides the quantitative measurements of the static and dynamic respiratory parameters, e.g. tidal volume (TV) or peak expiratory flow (PEF). A miniaturized, Holter-type impedance pneumography device, Pneumonitor, with analog output and intrinsic digital memory, was designed and constructed. The system allows long-term assessment of ventilation by measuring changes in thoracic impedance using the tetrapolar method. Methods: The Artificial Patient module was used to check the stability of the amplitude and frequency of the application current (sinusoidal, 100kHz, 250μA) and to calibrate the measurements obtained by the IP device by finding the transfer function between voltage and impedance. Impedance values obtained by the IP device from patients were compared those from another bioimpedance measuring device in different electrode placement configurations in patients (for cardiac and respiratory applications). The volume-related impedance signal was also compared with the volume signal calculated from pneumotachometry (PNT). These measurements were conducted in a group of 12 young, healthy volunteers (8 male). Results: The comparison of impedance values from the IP device with those from another one bioimpedance measuring showed high agreement in all tested electrode configurations. High values of determination coefficients (R2), describing the fit of the linear regression model relating corresponding IP and PNT signals, varied in the range of 0.934 to 0.997 (average: 0.985). However, the differences between average tidal volume parameters (calculated for each subject) derived from - P and PNT are statistically significant, although negligible (average relative error is 3.2%; 1.9% min., 7% max.). Conclusion: Preliminary results show that our portable IP device provides impedance values related to respiratory activity according to a formula obtained individually for each subject. An impedance pneumography signal describing volumetric parameters could be used in analysis of respiratory and cardiac activities, e.g. might be helpful in asthma monitoring or autonomous nervous system testing.
Keywords :
biomedical electrodes; biomedical measurement; cardiology; electric impedance imaging; medical signal processing; patient monitoring; physiological models; pneumodynamics; regression analysis; Holter-type impedance pneumography device; ambulatory impedance pneumography device; artificial patient module; bioimpedance measuring device; breathing activity monitoring; cardiac activity analysis; cardiac applications; dynamic respiratory parameters; electrode placement configurations; impedance pneumography signals; linear regression model; long-term ventilation assessment; pneumonitor; pneumotachometry signals; respiratory activity analysis; respiratory applications; respiratory flow estimation; static respiratory parameter; tetrapolar method; thoracic impedance; volume-related impedance signal; Diseases; IP networks; Impedance; Impedance measurement; Lungs; Monitoring; Voltage measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing in Cardiology Conference (CinC), 2014
ISSN :
2325-8861
Print_ISBN :
978-1-4799-4346-3
Type :
conf
Filename :
7043205
Link To Document :
بازگشت