Computer based tool for temporal and spectral analysis of electrocardiographic records

Along the last years the relationship between autonomic nervous system (ANS) function and cardiovascular mortality has been recognized as a fact. This has lead researchers to focus on quantitative indicators for autonomic balance, which are able to work as markers for several diseases, even at early states. At this point, Heart Rate Variability (HRV) has been reported to be one of the most promising methods for the diagnostic and study of Parkinson disease. In order to obtain quantitative indicators, several temporal and spectral parameters have been proposed. This work introduces a virtual bioinstrument specially designed for its use at neuro-vegetative studies for the diagnostic of Parkinson disease.