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Special Topic: Comprehensive eHealth
A. Krisciukaitis (1), R. Simoliuniene (2), M. Tamosiunas (1), V. Saferis (2), A. Vainoras (3), L. Gargasas (3)
(1) Institute for Biomedical Research, Kaunas University of Medicine, Kaunas, Lithuania; (2) Kaunas University of Medicine, Kaunas, Lithuania; (3) Institute of Cardiology, Kaunas University of Medicine, Kaunas, Lithuania
Background: Cardiac output is controlled by the autonomic nervous system by changing the heart rate and/or the contractions of the heart muscle in response to the hemodynamic needs of the whole body. Malfunction of these mechanisms causes the postural orthostatic tachycardia syndrome and/or the chronic fatigue syndrome. Evaluation of functionality and efficiency of the control mechanisms could give valuable diagnostic information in the early stages of dysfunction of the heart control systems and help to monitor the healing process in rehabilitation period after interventions. Objectives: In this study we demonstrate how P-wave changes evoked by an orthostatic test could be quantitatively evaluated by using the method based on the principal component analysis. Methods: ECG signals were recorded during an orthostatic test performed according to the typical protocol in three groups of volunteer subjects representing healthy young and older persons, part of which had transient periods of supraventricular arrhythmias. Quantitative evaluation of P-wave morphology changes was performed by means of principal component analysis-based method. Results: Principal component-based estimates showed certain variety of P-wave shape during orthostatic test, what revealed a possibility to evaluate the properties of parasympathetic heart control. Conclusions: Quantitative evaluation of ECG P-wave changes evoked by an orthostatic test by using a newly developed method provides a quantitative estimate for functionality and efficiency of the heart rate control mechanisms. The method could be used in eHealth systems.
principal component analysis, autonomic heart control, ECG P-wave
| 1. | Detection of Complex Patterns in Spontaneous Limb Movements | |
Special Topic: Biosignal Interpretation D. Karch (1), K. Wochner (2), K. Kim (2), H. Philippi (3), M. Hadders-Algra (4), J. Pietz (2), H. Dickhaus (1) Methods of Information in Medicine 2010 49 5: 526-530 http://dx.doi.org/10.3414/ME09-02-0034 | ||
| 2. | ||
Timothy R. Rudd1*; Mark A. Skidmore1*; Scott E.Guimond1; Joseph Holman1; Jeremy E. Turnbull1; Robert M. Lauder2; David G. Fernig1; Edwin A. Yates1 Thrombosis and Haemostasis 2009 102 5: 874-878 http://dx.doi.org/10.1160/TH08-12-0797 | ||