Abstract

SYED HASAN, Emmanuel  and  HERNANDEZ CACERES, José Luis. Heart Rate Variability Analysis Based on Photoplethysmographic Signals. RCIM [online]. 2015, vol.7, n.2, pp. 113-121. ISSN 1684-1859.

An algorithm for extracting tachograms for Heart Rate Variability (HRV) analysis on the basis of Photoplethysmographic (PPG) signals (instead of electro cardiograms) has been proposed. The main feature of this proposal is to detect peaks from correlograms between a pattern waveform and a sliding time window in the PPG signal. Analysis was carried out with a set of two groups of patients (young and elderly).HRV variables were estimated using the publicly available Kubios HRV package. Results showed that both the sympathetic component of the autonomous nervous system (assessed by LF/HF) and the cardiovascular complexity (assessed by correlation dimension) are reduced with age. These results are supported by literature and may be taken as a support for the validity of the proposed algorithm. Since oximeters for getting PPG signals are affordable even in poor settings, this allows extending autonomic nervous system studies into remote areas of developing countries.

Keywords : heart rate variability; PPG signal; correlogram; autonomic nervous system; complexity.

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