Application of information theory techniques to the analysis of time series obtained from biological systems

• Grant number: 00/14357-8
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: April 01, 2002
• End date: September 30, 2005
• Field of knowledge: Physical Sciences and Mathematics - Physics - General Physics
• Principal Investigator: Coraci Pereira Malta
• Grantee: Alberto Capurro Stanham
• Host Institution: Instituto de Física (IF). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Associated research grant: 03/12097-7 - Classical and quantum dynamical systems, AP.TEM

Abstract

The main objective is to distinguish different dynamical modes in EEG and ECG signals using. Our aim is to contribute to identify the adequate techniques to study the dynamics of complex systems by applying them to processing biological signals. Regarding EEG signals, we intend to focus on two problems : i) to find the differences between the dynamics of two behavioral states (wakefulness and slow wave sleep, which are associated with a characteristic degree of synchronization of the EEG), comparing "stationary" moments of EEG which are typical of each case, and ii) to detect transients called sleep spindles (trains at 14 Hz originated by a neuronal oscillator in the reticular nucleus of thalamus). For these transients we aim to identify suitable methods to differentiate between spindles in normal subjects and spindles in patients with history of thalamic stoke. Regarding ECG, using a simultaneous recording of ECG and respiration, we intend to find adequate tools to differentiate between the variability of normal trace and that from diabetic patients. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

PAKDAMAN, KHASHAYAR; CAPURRO STANHAM, ALBERTO. The electric fish Brachyhypopomus pinnicaudatus produces jamming avoidance responses to signals that are harmonically related to its own discharges. Journal of Experimental Biology, v. 207, n. 17, p. 2907-2916, Aug. 2004. (00/14357-8)

CONTRERAS, P.; MIGLIARO, E. R.; CAPURRO STANHAM, ALBERTO; MALTA, CORACI PEREIRA. Cross-correlation of heartbeat and respiration rhythms. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v. 356, n. 1, p. 37-42, Oct. 2005. (00/14357-8)

DIAMBRA, LUIS; MALTA, CORACI PEREIRA. Model for the respiratory modulation of the heart beat-to-beat time interval series. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v. 355, n. 2/4, p. 439-460, Sept. 2005. (00/14357-8)