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Proceedings Paper

Extracting stationary segments from non-stationary synthetic and cardiac signals
Author(s): María G. Rodríguez; Carlos A. Ledezma; Gilberto Perpiñán; Sara Wong; Miguel Altuve
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Paper Abstract

Physiological signals are commonly the result of complex interactions between systems and organs, these interactions lead to signals that exhibit a non-stationary behaviour. For cardiac signals, non-stationary heart rate variability (HRV) may produce misinterpretations. A previous work proposed to divide a non-stationary signal into stationary segments by looking for changes in the signal’s properties related to changes in the mean of the signal. In this paper, we extract stationary segments from non-stationary synthetic and cardiac signals. For synthetic signals with different signal-to-noise ratio levels, we detect the beginning and end of the stationary segments and the result is compared to the known values of the occurrence of these events. For cardiac signals, RR interval (cardiac cycle length) time series, obtained from electrocardiographic records during stress tests for two populations (diabetic patients with cardiovascular autonomic neuropathy and control subjects), were divided into stationary segments. Results on synthetic signals reveal that the non-stationary sequence is divided into more stationary segments than needed. Additionally, due to HRV reduction and exercise intolerance reported on diabetic cardiovascular autonomic neuropathy patients, non-stationary RR interval sequences from these subjects can be divided into longer stationary segments compared to the control group.

Paper Details

Date Published: 28 January 2015
PDF: 8 pages
Proc. SPIE 9287, 10th International Symposium on Medical Information Processing and Analysis, 92870B (28 January 2015); doi: 10.1117/12.2073558
Show Author Affiliations
María G. Rodríguez, Univ. Simón Bolívar (Venezuela)
Univ. Católica Andrés Bello (Venezuela)
Carlos A. Ledezma, Univ. Simón Bolívar (Venezuela)
Gilberto Perpiñán, Univ. Simón Bolívar (Venezuela)
Sara Wong, Univ. Simón Bolívar (Venezuela)
Univ. de Cuenca (Ecuador)
Miguel Altuve, Univ. Simón Bolívar (Venezuela)

Published in SPIE Proceedings Vol. 9287:
10th International Symposium on Medical Information Processing and Analysis
Eduardo Romero; Natasha Lepore, Editor(s)

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