scholarly journals Staying fit and the obese aging heart condition

Aging ◽  
2021 ◽  
Author(s):  
Chanisa Thonusin ◽  
Siriporn C. Chattipakorn ◽  
Nipon Chattipakorn
Keyword(s):  

2014 ◽  
Vol 20 (10) ◽  
pp. S169-S170
Author(s):  
Masayoshi Oikawa ◽  
Atsushi Kobayashi ◽  
Hiroyuki Yamauchi ◽  
Satoshi Suzuki ◽  
Akiomi Yoshihisa ◽  
...  


Author(s):  
SAURAV MANDAL ◽  
NABANITA SINHA

This study aims to present an efficient model for autodetection of cardiac arrhythmia by the diagnosis of self-affinity and identification of governing processes of a number of Electrocardiogram (ECG) signals taken from MIT-BIH database. In this work, the proposed model includes statistical methods to find the diagnosis pattern for detecting cardiac abnormalities which is useful for the computer aided system for arrhythmia detection. First, the Rescale Range (R/S) analysis has been employed for ECG signals to understand the scaling property of ECG signals. The value of Hurst exponent identifies the presence of abnormality in ECG signals taken for consideration with 92.58% accuracy. In this study, Higuchi method which deals with unifractality or monofractality of signals has been applied and it is found that unifractality is sufficient to detect arrhythmia with 91.61% accuracy. The Multifractal Detrended Fluctuation Analysis (MFDFA) has been used over the present signals to identify and confirm the multifractality. The nature of multifractality is different for arrhythmia patients and normal heart condition. The multifractal analysis is useful to detect abnormalities with 93.75% accuracy. Finally, the autocorrelation analysis has been used to identify the prevalent governing process in the present arrhythmic ECG signals and study confirms that all the signals are governed by stationary autoregressive methods of certain orders. In order to increase the overall efficiency, this present model deals with analyzing all the statistical features extracted from different statistical techniques for a large number of ECG signals of normal and abnormal heart condition. Finally, the result of present analysis altogether possibly indicates that the proposed model is efficient to detect cardiac arrhythmia with 99.3% accuracy.



2021 ◽  
Vol 16 (3) ◽  
pp. 1-2
Author(s):  
Hannah Phillips

In this month's patient story, Hannah Phillips contemplates the difficulties of entering the world of work with a congenital heart condition and outlines how treatment teams can better prepare patients for this process.



1998 ◽  
pp. 97-102
Author(s):  
M. Varricchio ◽  
M. R. Tagliamonte ◽  
M. R. Rizzo ◽  
G. Varricchio ◽  
A. Gambardella
Keyword(s):  


PLoS ONE ◽  
2012 ◽  
Vol 7 (4) ◽  
pp. e34688 ◽  
Author(s):  
Xiaomin Zhang ◽  
Gohar Azhar ◽  
Jeanne Y. Wei
Keyword(s):  


1947 ◽  
Vol 2 (3) ◽  
pp. 263-265
Author(s):  
J. O. Davis


2013 ◽  
Vol 16 (5) ◽  
pp. 377-385 ◽  
Author(s):  
Ke Wang ◽  
Jie Zhang ◽  
Xiaoliang Wang ◽  
Xin Liu ◽  
Lin Zuo ◽  
...  


2020 ◽  
Vol 5 (2) ◽  
pp. 52-58
Author(s):  
Je Kyoun Shin ◽  
Tae-Yop Kim ◽  
Hyun Suk Yang
Keyword(s):  


2017 ◽  
Vol 9 (3) ◽  
pp. 129
Author(s):  
Anna Meiliana ◽  
Nurrani Mustika Dewi ◽  
Andi Wijaya

BACKGROUND: Aging per se is a risk factor for reduced cardiac function and heart diseases, even when adjusted for aging-associated cardiovascular risk factors. Accordingly, aging-related biochemical and cell-biological changes lead to pathophysiological conditions, especially reduced heart function and heart disease.CONTENT: Telomere dysfunction induces a profound p53-dependent repression of the master regulators of mitochondrial biogenesis and function, peroxisome proliferator-activated receptor gamma coactivator (PGC)-1a and PGC-1b in the heart, which leads to bioenergetic compromise due to impaired oxidative phosphorylation and ATP generation. This telomere-p53-PGC mitochondrial/metabolic axis integrates many factors linked to heart aging including increased DNA damage, p53 activation, mitochondrial, and metabolic dysfunction and provides a molecular basis of how dysfunctional telomeres can compromise cardiomyocytes and stem cell compartments in the heart to precipitate cardiac aging.SUMMARY: The aging myocardium with telomere shortening and accumulation of senescent cells restricts the tissue regenerative ability, which contributes to systolic or diastolic heart failure. Moreover, patients with ion-channel defects might have genetic imbalance caused by oxidative stress-related accelerated telomere shortening, which may subsequently cause sudden cardiac death. Telomere length can serve as a marker for the biological status of previous cell divisions and DNA damage with inflammation and oxidative stress. It can be integrated into current risk prediction and stratification models for cardiovascular diseases and can be used in precise personalized treatments.KEYWORDS: aging, telomere, telomerase, aging heart, mitochondria, cardiac stem cell



2016 ◽  
Vol 118 (1) ◽  
pp. 6-8 ◽  
Author(s):  
Elizabeth M. McNally


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