Nonlinear analysis of heart rate variability of healthy subjects and patients with chronic obstructive pulmonary disease

ÇALIŞKAN, Şerife Gökçe; Polatlı, Mehmet; Bilgin, Mehmet

doi:10.1080/03091902.2018.1491650

Cited by 6 publications

(5 citation statements)

References 36 publications

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“…They represent the complexity and irregularity of the system which was investigated. These were explained in the study of Caliskan et al 24 in detail.…”

Section: Phase Space Reconstructionmentioning

confidence: 91%

Non-linear analysis of heart rate variability for evaluating the acute effects of caffeinated beverages in young adults

ÇALIŞKAN

Bilgin

2020

Cardiol Young

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AbstractCaffeinated beverages are the most consumed substances in the world. High rate of uptake of these beverages leads to various cardiovascular disorders ranging from palpitations to coronary failure. The objective of the study is to ascertain how the complexity parameters of heart rate variability are affected by acute consumption of caffeinated beverages in young adults.Electrocardiogram measurements were performed before consuming drinks. After consuming the drinks, measurements were done again at 30 minutes and 60 minutes. Heart rate variability signals were acquired from electrocardiogram signals. Also, the signals were reconstructed in the phase space and largest Lyapunov exponent, correlation dimension, approximate entropy, and detrended fluctuation analysis values were calculated.Heart rate increased for energy drink and cola groups but not in coffee group. Non-linear parameter values of energy drink, coffee, and cola group are increased within 60 minutes after drink consumption. This change is statistically significant just for energy drink group.Energy drink consumption increases the complexity of the cardiovascular system in young adults significantly. Coffee and cola consumption have no significant effect on the non-linear parameters of heart rate variability.

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“…They represent the complexity and irregularity of the system which was investigated. These were explained in the study of Caliskan et al 24 in detail.…”

Section: Phase Space Reconstructionmentioning

confidence: 91%

Non-linear analysis of heart rate variability for evaluating the acute effects of caffeinated beverages in young adults

ÇALIŞKAN

Bilgin

2020

Cardiol Young

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“…Sin embargo, sí que observaron una correlación significativa entre una reducción del HRV y un menor nivel de actividad física en la vida diaria, menor calidad de vida y estado funcional, así como con una menor fuerza muscular periférica y respiratoria. En el reciente estudio desarrollado por Caliskan et al tampoco se encontraron correlaciones significativas entre medidas no lineales de HRV (Exponentes Lyapunov, ApEn) y los grupos de severidad de la EPOC en función de GOLD [187].…”

Section: Correlación Entre Hrv/prv Y La Gravedad De La Epocunclassified

“…Tseng et al incluyeron en un estudio reciente a 33 pacientes diagnosticados de EPOC, registrandose la HRV en la hora previa al inicio del tratamiento y a las 24 horas del mismo[178]. En todos ellos se produjo un incremento de los valores de LF y HF tras Caliskan et al han estudiado recientemente 16 pacientes varones diagnosticados de EPOC moderada y severa, en los que se extraen diversas medidas no lineales de un registro diurno de HRV de cinco minutos de duración y en reposo[187]: dimensión de correlación, exponente de Lyapunov, reconstrucción fase y entropía aproximada. Los autores no encuentran diferencias entre los grados de severidad de la EPOC en relación con los métodos empleados, pero sí con respecto a un grupo control.…”

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“…Los registros nocturnos de PRV de los pacientes con SAHS, tanto con EPOC asociado (grupo EPOC+SAHS) como sin esta comorbilidad (grupo SAHS), mostraron una potencia espectral en la banda de frecuencias relacionada con el SAHS significativamente mayor que la obtenida para los pacientes con solo EPOC (0.310 vs. 0.282 y 0.308 vs. 0.282, respectivamente; p-valor <0.05).Respecto a la utilidad del enfoque no lineal, es importante destacar que el análisis espectral tradicional de las bandas de frecuencia clásicas (VLF, LF y HF) no permitió identificar las diferencias entre pacientes con diagnóstico único de EPOC con respecto de los diagnosticados de síndrome de overlap. En otros estudios también se ha evidenciado que ciertas modificaciones observadas en el análisis no lineal no fueron identificadas por el análisis espectral[187,234]. Por tanto, los resultados obtenidos en la presente Tesis Doctoral aportan nuevas evidencias sobre la utilidad del análisis no lineal para proporcionar información complememtaria a los datos obtenidos mediante métodos más tradicionales, permitiendo una mejor interpretación fisiológica.…”

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“…El método de análisis no lineal fue variable, aunque el mas utilizado fue la entropía, ya fuera su estimación mediante el algoritmo de la entropía aproximada o de la entropía muestral. Diversos autores han aplicado como método la entropía aproximada[47,169,184,185,187], a pesar de que se ha demostrado que su algoritmo introduce un sesgo en la estimación de la irregularidad, el cual sí es evitado empleando SampEn.El análisis no lineal de los cambios a largo plazo (en el contexto del sueño nocturno) de los registros de PRV durante toda la noche coincide con los resultados obtenidos durante la vigilia en el sentido de una disminución del equilibrio cardiovascular (mayor disfunción) debido al efecto combinado de EPOC y SAHS. Sin embargo, comúnmente se asume que la entropía de la FC es menor en pacientes con enfermedades cardiovasculares que en personas sanas[168], es decir, una menor entropía o menor irregularidad es un marcador de estados de enfermedad.…”

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Variabilidad de la frecuencia de pulso mediante análisis no lineal en pacientes con síndrome de apnea del sueño y enfermedad pulmonar obstructiva crónica (EPOC)

Fernández¹

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Background. Chronic obstructive pulmonary disease (COPD) is characterized by a persistent and commonly progressive airflow limitation consequent to an abnormal inflammatory response of the airway and lung tissue due to noxious particles and gases. COPD is among the most common lung diseases, with an estimated prevalence of 9%, becoming a major health problem worldwide. COPD patients show major dysfunction in cardiac autonomic modulation due to sustained hypoxemia, which has been significantly related to higher risk of cardiovascular disease. A substantial number of patients suffering from COPD have major comorbidities, which is linked with diminished health status and quality of life. In this regard, sleep disorders are commonly present in COPD patients. Particularly, sleep apnea-hypopnea syndrome (SAHS) is a frequent comorbidity in COPD. It has been found that patients suffering from both COPD and SAHS simultaneously, the so-called overlap syndrome, have notably higher morbidity and mortality, mostly in the context of cardiovascular disease. Patients showing both conditions have significant imbalances in cardiac autonomic modulation compared to those with COPD or SAHS alone. Heart rate variability (HRV) has been found to be useful to assess changes in autonomic functioning in different clinical conditions. Traditional analysis of HRV recordings has shown that patients with overlap syndrome are characterized by a reduced resting HRV, which has been related to increased risk of cardiac disease. However, there is viii still little scientific evidence on the magnitude of changes in cardiovascular dynamics elicited by the combined effect of both respiratory diseases, primarily during sleep, when apneic events occur. Due to the chaotic behavior of the HRV signal, nonlinear methods are able to gain insight into the influence of COPD and SAHS in the autonomic cardiac modulation. Hypothesis and objectives. In this PhD Thesis, the hypothesis is twofold. Firstly, it is hypothesized that patients with COPD and SAHS simultaneously show higher changes in the autonomic cardiac modulation than patients suffering from either COPD or SAHS alone. Secondly, it is hypothesized that nonlinear analysis is able to provide complementary information to conventional analyses on the characterization of the long-term changes in overnight cardiovascular dynamics of COPD patients due to the presence of concomitant moderate-to-severe SAHS. Accordingly, this study is aimed at assessing the usefulness of sample entropy (SampEn) to distinguish changes in nocturnal pulse rate variability (PRV) recordings among three patient groups while sleeping: (1) COPD patients without moderate or severe sleep apnea; (2) moderate-to-severe SAHS patients without prior history of COPD; and (3) patients showing both COPD and moderate-to-severe SAHS, i.e., overlap syndrome. Material and Methods. In order to achieve this goal, a population composed of 297 patients were studied: 22 with COPD alone, 213 showing moderate-to-severe SAHS, and 62 with COPD and moderate-to...

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Telemetric data collection should be standard in modern experimental cardiovascular research

Molčan

2021

Physiology & Behavior

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Nonlinear analysis of heart rate variability of healthy subjects and patients with chronic obstructive pulmonary disease

Cited by 6 publications

References 36 publications

Non-linear analysis of heart rate variability for evaluating the acute effects of caffeinated beverages in young adults

Non-linear analysis of heart rate variability for evaluating the acute effects of caffeinated beverages in young adults

Variabilidad de la frecuencia de pulso mediante análisis no lineal en pacientes con síndrome de apnea del sueño y enfermedad pulmonar obstructiva crónica (EPOC)

Telemetric data collection should be standard in modern experimental cardiovascular research

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