Evaluation of Autonomic Heart Control Using the Analysis of ECG P-Wave

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'Efficiency Evaluation of Autonomic Heart Control by Using the Principal Component Analysis of ECG P-Wave'

Krisciukaitis A, Simoliuniene R, Tamosiunas M, Saferis V, Vainoras A, Gargasas L.

Methods Inf Med. 2010 Feb 22;49(2). [Epub ahead of print]
A. Krisciukaitis, Institute for Biomedical Research, Kaunas University
of Medicine, Eiveniu 4, 50009 Kaunas, Lithuania, E-mail: akri@kmu.lt.

http://www.ncbi.nlm.nih.gov/pubmed/20177647

(my bolds)

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