Aging changes complexity of heart rate dynamics assessed by entropy and Lyapunov exponent analysis
In recent years, many research groups are trying to quantify the physiological signals of an individual, proposing new models to assess the complex dynamics of biological control systems. Indeed, life coincides with the good handling of the structures in the organism and of physiological control mec...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PAGEPress Publications
2019-04-01
|
| Series: | Geriatric Care |
| Subjects: | |
| Online Access: | https://www.pagepressjournals.org/index.php/gc/article/view/8038 |
| _version_ | 1811252474328121344 |
|---|---|
| author | Roberto Siciliano Giuseppe Agapito Sarah Siciliano Filippo Luca Fimognari |
| author_facet | Roberto Siciliano Giuseppe Agapito Sarah Siciliano Filippo Luca Fimognari |
| author_sort | Roberto Siciliano |
| collection | DOAJ |
| description | In recent years, many research groups are trying to quantify the physiological signals of an individual, proposing new models to assess the complex dynamics of biological control systems. Indeed, life coincides with the good handling of the structures in the organism and of physiological control mechanisms, while disease and death coincide with the loss of structure and of coordinated functions. The homeodynamic systems which normally govern health are the same that cause pathological events when activated inadequately, or rather, when the balance between order and chaos of the elementary physiological processes is no longer effectively controlled in relation to any type of stress, both external and internal to the body. In a complex system, loss or alteration of communication between physiological signals means pathology. In this paper a signal analysis method based on Entropy (E), Lyapunov exponent (1), Median Absolute Deviation (MAD), Multiscale Entropy (MSE), is proposed to estimate the complexity of long-range temporal correlation heart rate (HR) time series for an elderly person and a young person both healthy. These new methods could improve overall understanding of the physiological system of the human organism, by adopting new models and experimental paradigms, such as those of fractality and entropy, who have the ability to direct from an organ medicine to a modern systemic medicine. |
| first_indexed | 2024-04-12T16:36:09Z |
| format | Article |
| id | doaj.art-e5fc98eed7254d7ebe57eca2d7e1e675 |
| institution | Directory Open Access Journal |
| issn | 2465-1109 2465-1397 |
| language | English |
| last_indexed | 2024-04-12T16:36:09Z |
| publishDate | 2019-04-01 |
| publisher | PAGEPress Publications |
| record_format | Article |
| series | Geriatric Care |
| spelling | doaj.art-e5fc98eed7254d7ebe57eca2d7e1e6752022-12-22T03:25:00ZengPAGEPress PublicationsGeriatric Care2465-11092465-13972019-04-015110.4081/gc.2019.8038Aging changes complexity of heart rate dynamics assessed by entropy and Lyapunov exponent analysisRoberto Siciliano0Giuseppe Agapito1Sarah Siciliano2Filippo Luca Fimognari3Cosenza HospitalDepartment of Medical and Surgical Science, Magna Graecia University, CatanzaroPhysicist, CosenzaGeriatrics Unit, Department of Internal Medicine, Cosenza HospitalIn recent years, many research groups are trying to quantify the physiological signals of an individual, proposing new models to assess the complex dynamics of biological control systems. Indeed, life coincides with the good handling of the structures in the organism and of physiological control mechanisms, while disease and death coincide with the loss of structure and of coordinated functions. The homeodynamic systems which normally govern health are the same that cause pathological events when activated inadequately, or rather, when the balance between order and chaos of the elementary physiological processes is no longer effectively controlled in relation to any type of stress, both external and internal to the body. In a complex system, loss or alteration of communication between physiological signals means pathology. In this paper a signal analysis method based on Entropy (E), Lyapunov exponent (1), Median Absolute Deviation (MAD), Multiscale Entropy (MSE), is proposed to estimate the complexity of long-range temporal correlation heart rate (HR) time series for an elderly person and a young person both healthy. These new methods could improve overall understanding of the physiological system of the human organism, by adopting new models and experimental paradigms, such as those of fractality and entropy, who have the ability to direct from an organ medicine to a modern systemic medicine.https://www.pagepressjournals.org/index.php/gc/article/view/8038AgingfractalsentropyLyapunov exponentnonlinear dynamics. |
| spellingShingle | Roberto Siciliano Giuseppe Agapito Sarah Siciliano Filippo Luca Fimognari Aging changes complexity of heart rate dynamics assessed by entropy and Lyapunov exponent analysis Geriatric Care Aging fractals entropy Lyapunov exponent nonlinear dynamics. |
| title | Aging changes complexity of heart rate dynamics assessed by entropy and Lyapunov exponent analysis |
| title_full | Aging changes complexity of heart rate dynamics assessed by entropy and Lyapunov exponent analysis |
| title_fullStr | Aging changes complexity of heart rate dynamics assessed by entropy and Lyapunov exponent analysis |
| title_full_unstemmed | Aging changes complexity of heart rate dynamics assessed by entropy and Lyapunov exponent analysis |
| title_short | Aging changes complexity of heart rate dynamics assessed by entropy and Lyapunov exponent analysis |
| title_sort | aging changes complexity of heart rate dynamics assessed by entropy and lyapunov exponent analysis |
| topic | Aging fractals entropy Lyapunov exponent nonlinear dynamics. |
| url | https://www.pagepressjournals.org/index.php/gc/article/view/8038 |
| work_keys_str_mv | AT robertosiciliano agingchangescomplexityofheartratedynamicsassessedbyentropyandlyapunovexponentanalysis AT giuseppeagapito agingchangescomplexityofheartratedynamicsassessedbyentropyandlyapunovexponentanalysis AT sarahsiciliano agingchangescomplexityofheartratedynamicsassessedbyentropyandlyapunovexponentanalysis AT filippolucafimognari agingchangescomplexityofheartratedynamicsassessedbyentropyandlyapunovexponentanalysis |