Methods of autoregressive parametrization and power spectral estimation are applied to the heart rate variability (HRV) signal in the ECG of normal and pathological subjects. The authors describe some HRV signal processing techniques and evaluate their capabilities for diagnostic classification in various pathologies of the cardiovascular system. The use of online processing of HRV signals is also illustrated for patients undergoing exercise testing (cycloergometer). The proposed methods of signal processing seem to well quantify the variations induced on the ECG tracings by different and selective activation of the neural control systems of heart rate and blood pressure (sympathetic and parasympathetic nervous systems).
|Title of host publication||Unknown Host Publication Title|
|Editors||Antonio Luque, A.R. Figueiras Vidal, J.M.R. Delgado|
|Number of pages||4|
|Publication status||Published - 1985|
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