In the light of the results obtained during the last two decades in analysis of signals by time series, it has become evident that the tools of non linear dynamics have their elective role of application in biological, and, in particular, in neuro-physiological and psycho-physiological studies. The basic concept in non linear analysis of experimental time series is that one of recurrence whose conceptual counterpart is represented from variedness and variability that are the foundations of complexity in dynamic processes. Thus, the recurrence plots and the Recurrence Quantification Analysis (RQA) are discussed. It is shown that RQA represents the most general and correct ...
Although its roots can be traced to the 19th century, progress in the study of nonlinear dynamical s...
The complex structure of the Heart Rate Variability signal (HRV) has been widely studied in order to...
Analysis techniques derived from linear and non-linear dynamics systems theory qualify and quantify ...
In the light of the results obtained during the last two decades in analysis of signals by time ...
In the light of the results obtained during the last two decades in analysis of signals by time ser...
International audienceTransients in non-linear biological signals (e.g., population dynamics or phys...
It is known that R–R time series calculated from a recorded ECG, are strongly correlated to sympath...
Application of non-linear dynamics methods to the physiological sciences demonstrated that non-linea...
This study highlights the application of recurrence quantification analysis (RQA) to derive informat...
The possibility to apply nonlinear dynamics methods for the EEG time series analysis is investigated...
Along this paper, we shall update the state-of-the-art concerning the application of fractal-based t...
Although nonlinear dynamics have been mastered by physicists and mathematicians for a long time (as ...
Rhythmic neural activity, so-called oscillations, plays a key role in neural information transmissi...
This paper illustrates different approaches to the analysis of biological signals based on non-linea...
© 2008 The Royal SocietyMethods from nonlinear dynamics (NLD) have shown new insights into heart rat...
Although its roots can be traced to the 19th century, progress in the study of nonlinear dynamical s...
The complex structure of the Heart Rate Variability signal (HRV) has been widely studied in order to...
Analysis techniques derived from linear and non-linear dynamics systems theory qualify and quantify ...
In the light of the results obtained during the last two decades in analysis of signals by time ...
In the light of the results obtained during the last two decades in analysis of signals by time ser...
International audienceTransients in non-linear biological signals (e.g., population dynamics or phys...
It is known that R–R time series calculated from a recorded ECG, are strongly correlated to sympath...
Application of non-linear dynamics methods to the physiological sciences demonstrated that non-linea...
This study highlights the application of recurrence quantification analysis (RQA) to derive informat...
The possibility to apply nonlinear dynamics methods for the EEG time series analysis is investigated...
Along this paper, we shall update the state-of-the-art concerning the application of fractal-based t...
Although nonlinear dynamics have been mastered by physicists and mathematicians for a long time (as ...
Rhythmic neural activity, so-called oscillations, plays a key role in neural information transmissi...
This paper illustrates different approaches to the analysis of biological signals based on non-linea...
© 2008 The Royal SocietyMethods from nonlinear dynamics (NLD) have shown new insights into heart rat...
Although its roots can be traced to the 19th century, progress in the study of nonlinear dynamical s...
The complex structure of the Heart Rate Variability signal (HRV) has been widely studied in order to...
Analysis techniques derived from linear and non-linear dynamics systems theory qualify and quantify ...