Changes in the Complexity of Heart Rate Variability with Exercise Training Measured by Multiscale Entropy-Based Measurements
Quantifying complexity from heart rate variability (HRV) series is a challenging task, and multiscale entropy (MSE), along with its variants, has been demonstrated to be one of the most robust approaches to achieve this goal. Although physical training is known to be beneficial, there is little info...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-01-01
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| Series: | Entropy |
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| Online Access: | http://www.mdpi.com/1099-4300/20/1/47 |
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| author | Frederico Sassoli Fazan Fernanda Brognara Rubens Fazan Junior Luiz Otavio Murta Junior Luiz Eduardo Virgilio Silva |
| author_facet | Frederico Sassoli Fazan Fernanda Brognara Rubens Fazan Junior Luiz Otavio Murta Junior Luiz Eduardo Virgilio Silva |
| author_sort | Frederico Sassoli Fazan |
| collection | DOAJ |
| description | Quantifying complexity from heart rate variability (HRV) series is a challenging task, and multiscale entropy (MSE), along with its variants, has been demonstrated to be one of the most robust approaches to achieve this goal. Although physical training is known to be beneficial, there is little information about the long-term complexity changes induced by the physical conditioning. The present study aimed to quantify the changes in physiological complexity elicited by physical training through multiscale entropy-based complexity measurements. Rats were subject to a protocol of medium intensity training ( n = 13 ) or a sedentary protocol ( n = 12 ). One-hour HRV series were obtained from all conscious rats five days after the experimental protocol. We estimated MSE, multiscale dispersion entropy (MDE) and multiscale SDiff q from HRV series. Multiscale SDiff q is a recent approach that accounts for entropy differences between a given time series and its shuffled dynamics. From SDiff q , three attributes (q-attributes) were derived, namely SDiff q m a x , q m a x and q z e r o . MSE, MDE and multiscale q-attributes presented similar profiles, except for SDiff q m a x . q m a x showed significant differences between trained and sedentary groups on Time Scales 6 to 20. Results suggest that physical training increases the system complexity and that multiscale q-attributes provide valuable information about the physiological complexity. |
| first_indexed | 2024-04-11T13:11:32Z |
| format | Article |
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| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-04-11T13:11:32Z |
| publishDate | 2018-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-580b325b58aa4292beadd04bbed9dd7f2022-12-22T04:22:35ZengMDPI AGEntropy1099-43002018-01-012014710.3390/e20010047e20010047Changes in the Complexity of Heart Rate Variability with Exercise Training Measured by Multiscale Entropy-Based MeasurementsFrederico Sassoli Fazan0Fernanda Brognara1Rubens Fazan Junior2Luiz Otavio Murta Junior3Luiz Eduardo Virgilio Silva4Department of Physiology, School of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto, SP 14049-900, BrazilDepartment of Physiology, School of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto, SP 14049-900, BrazilDepartment of Physiology, School of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto, SP 14049-900, BrazilDepartment of Computing and Mathematics, School of Philosophy, Sciences and Languages of Ribeirão Preto, University of São Paulo, Ribeirão Preto, SP 14040-901, BrazilDepartment of Physiology, School of Medicine of Ribeirão Preto, University of São Paulo, Ribeirão Preto, SP 14049-900, BrazilQuantifying complexity from heart rate variability (HRV) series is a challenging task, and multiscale entropy (MSE), along with its variants, has been demonstrated to be one of the most robust approaches to achieve this goal. Although physical training is known to be beneficial, there is little information about the long-term complexity changes induced by the physical conditioning. The present study aimed to quantify the changes in physiological complexity elicited by physical training through multiscale entropy-based complexity measurements. Rats were subject to a protocol of medium intensity training ( n = 13 ) or a sedentary protocol ( n = 12 ). One-hour HRV series were obtained from all conscious rats five days after the experimental protocol. We estimated MSE, multiscale dispersion entropy (MDE) and multiscale SDiff q from HRV series. Multiscale SDiff q is a recent approach that accounts for entropy differences between a given time series and its shuffled dynamics. From SDiff q , three attributes (q-attributes) were derived, namely SDiff q m a x , q m a x and q z e r o . MSE, MDE and multiscale q-attributes presented similar profiles, except for SDiff q m a x . q m a x showed significant differences between trained and sedentary groups on Time Scales 6 to 20. Results suggest that physical training increases the system complexity and that multiscale q-attributes provide valuable information about the physiological complexity.http://www.mdpi.com/1099-4300/20/1/47sample entropydispersion entropymultiscale entropycomplexityheart rate variabilityratexercisephysical trainingconditioning |
| spellingShingle | Frederico Sassoli Fazan Fernanda Brognara Rubens Fazan Junior Luiz Otavio Murta Junior Luiz Eduardo Virgilio Silva Changes in the Complexity of Heart Rate Variability with Exercise Training Measured by Multiscale Entropy-Based Measurements Entropy sample entropy dispersion entropy multiscale entropy complexity heart rate variability rat exercise physical training conditioning |
| title | Changes in the Complexity of Heart Rate Variability with Exercise Training Measured by Multiscale Entropy-Based Measurements |
| title_full | Changes in the Complexity of Heart Rate Variability with Exercise Training Measured by Multiscale Entropy-Based Measurements |
| title_fullStr | Changes in the Complexity of Heart Rate Variability with Exercise Training Measured by Multiscale Entropy-Based Measurements |
| title_full_unstemmed | Changes in the Complexity of Heart Rate Variability with Exercise Training Measured by Multiscale Entropy-Based Measurements |
| title_short | Changes in the Complexity of Heart Rate Variability with Exercise Training Measured by Multiscale Entropy-Based Measurements |
| title_sort | changes in the complexity of heart rate variability with exercise training measured by multiscale entropy based measurements |
| topic | sample entropy dispersion entropy multiscale entropy complexity heart rate variability rat exercise physical training conditioning |
| url | http://www.mdpi.com/1099-4300/20/1/47 |
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