Multiscale Entropy Analysis of Heart Rate Dynamics in Physiological Aging

• Main Authors: Ting Teng, 滕婷
• Other Authors: Mei-Wun Tsai
• Format: Others
• Language: zh-TW
• Published: 2011
• Online Access: http://ndltd.ncl.edu.tw/handle/76880350748009581213

碩士 === 國立陽明大學 === 物理治療暨輔助科技學系 === 99 === Background. Aging declines the body structure or function. Many studies support the degree of aging is affected by not only the age but also the physical activity (PA). Hence, the concept of physiological aging can be reflected by combining the age and physical activity. However, the methods of quantitating physiological aging are biochemistry methods which are invasive and expensive, and physical signals, such as heart rate variability (HRV), which are easily affected by other factors. In recent years, a decrease in complexity of physical signals, measured by multiscale entropy analysis (MSE) of heart rate dynamics, is shown to be effective on differentiating the disease and age effect in human studies. However, it is uncertain whether the MSE is useful to quantify the degree in physiological aging. Purposes. This study aims to identify the relationship between physiological aging and complexity in healthy adults using MSE and to compare the sensitivity in response to physiological aging between MSE and HRV. Methods. A total of 111 healthy subjects (aged 19-85 years, 73% female) who had regular physical activity in 3 months were recruited. The participants answered the questionnaires (including basic data, the short version of International Physical Activity Questionnaire (IPAQ), diet, stress) and were taken the ECG recordings in sitting quietly for 5 minutes and during minimal activity for 60 minutes in order to conduct HRV and MSE analysis respectively. Based on their age and IPAQ, the participants were categorized into different age groups (young adult, middle-aged, and elderly) and PA groups (high, sufficient, and insufficient). ANCOVA and one-way ANOVA were used to compare the results between groups. The level of significance was 0.05. Results. Among age groups, the young adults showed the highest values of complexity in MSE, and the values of the elderly group were the lowest (p<0.05). Among PA groups, the MSE values of subjects with high PA were the highest, and the values of those with insufficient PA were the lowest (p<0.05). Among age and PA groups, the highest values of complexity in MSE were shown in the young adults with high PA, the second one was in the young adults with sufficient PA, and the lowest one was in the elderly with insufficient PA. A trend of higher MSE was found in the younger and more active PA group. The MSE values of middle-aged with high and sufficient PA were higher than that of the younger group with insufficient PA. In HRV, the older group had lower SDNN (p<0.05), and the other HRV parameters had no significant difference in age, PA, and physiological aging effects. Conclusions. MSE can reflect age and PA effects individually, and can observe the effect of sufficient PA on decreasing aging process. The sensitivity in response to physiological aging of MSE is higher than the sensitivity of HRV. MSE is suggested to be used as an objective and non-invasive method in discriminating the levels of physiological aging, which maybe also helpful to apply for the outcome measure of health promotion.