The loss of complexity of the cardiac bioelectrical signal, measured with tools of nonlinear dynamics (NLD), is studied in patients with very different pathologies. Two types of scenarios are studied: (a) patients who enter the critical care unit and recover from their condition; (b) severe patients whose condition worsen and finally die. It is shown that as the severity of the patients increases, the complexity of their cardiac bioelectric signal decreases. On the other hand, if patients, despite being severe, manage to recover, the cardiac bioelectric signal recovers its complexity
The complexity of a signal can be measured by the Recurrence period density entropy (RPDE) from the ...
The idea that most physiological systems are complex has become increasingly popular in recent decad...
The idea that most physiological systems are complex has become increasingly popular in recent decad...
This book reports on the latest advances in complex and nonlinear cardiovascular physiology aimed at...
This book reports on the latest advances in complex and nonlinear cardiovascular physiology aimed at...
This book reports on the latest advances in complex and nonlinear cardiovascular physiology aimed at...
Complexity is a ubiquitous phenomenon in physiology that allows living systems to adapt to external ...
It is well known that biomedical signals, such as heart rate variability (HRV), electrocardiogram (E...
Over the last decades, there has been an increasing interest in the analysis of Heart Rate Variabili...
Complexity in physiological outputs is believed to be a hallmark of healthy physiological control. H...
Biosignals are physiological signals that are recorded from various parts of the body. Some of the m...
Abstract The traditional methods of analysing heart rate variability based on means and variance are...
Chaotic systems are nature variable, which serve as important mechanism for adaptability and flexibi...
It is well known that the electrical signals generated by the heart exhibit nonlinear, chaotic dynam...
Biosignals are physiological signals that are recorded from various parts of the body. Some of the m...
The complexity of a signal can be measured by the Recurrence period density entropy (RPDE) from the ...
The idea that most physiological systems are complex has become increasingly popular in recent decad...
The idea that most physiological systems are complex has become increasingly popular in recent decad...
This book reports on the latest advances in complex and nonlinear cardiovascular physiology aimed at...
This book reports on the latest advances in complex and nonlinear cardiovascular physiology aimed at...
This book reports on the latest advances in complex and nonlinear cardiovascular physiology aimed at...
Complexity is a ubiquitous phenomenon in physiology that allows living systems to adapt to external ...
It is well known that biomedical signals, such as heart rate variability (HRV), electrocardiogram (E...
Over the last decades, there has been an increasing interest in the analysis of Heart Rate Variabili...
Complexity in physiological outputs is believed to be a hallmark of healthy physiological control. H...
Biosignals are physiological signals that are recorded from various parts of the body. Some of the m...
Abstract The traditional methods of analysing heart rate variability based on means and variance are...
Chaotic systems are nature variable, which serve as important mechanism for adaptability and flexibi...
It is well known that the electrical signals generated by the heart exhibit nonlinear, chaotic dynam...
Biosignals are physiological signals that are recorded from various parts of the body. Some of the m...
The complexity of a signal can be measured by the Recurrence period density entropy (RPDE) from the ...
The idea that most physiological systems are complex has become increasingly popular in recent decad...
The idea that most physiological systems are complex has become increasingly popular in recent decad...