Age-predicted maximal heart rate (APMHR) is an essential measure for healthcare professionals in determining cardiovascular response to exercise testing, exertion, and prescription. Although multiple APMHR prediction equations have been validated for specific populations, the accuracy of each within a ...
One-way analysis of variance was used to assess differences between the criterion HRmax and the age-predicted HRmax from the 7 equations. The predicted HRmax from the Fox equation and those of Gellish3, Tanaka, and Hossack were all significantly higher (p <= 0.05) than the CHRmax. The Fox...
First, the VO2 peak, respiratory exchange ratio (R peak), heart rate max (HR max) and percentage of predicted HR max (% predicted HR max) were ... LP Lima,HR Leite,MAD Matos,... - 《Plos One》 被引量: 0发表: 2019年 A maximal multistage 20-m shuttle run test to predict VO2...
ggplot(heartDiseaseData,aes(target, fill=target)) + 拥有静息心电图异常类型1的人患心脏病的可能性较高。 ggplot(heartDiseaseData,aes(target, fill=target)) + 没有运动诱发性心绞痛的人患心脏病的可能性较高。 ggplot(heartDiseaseData,aes(target, fill=target)) + scale_fill_manual(values=c("#97BE...
Using LOSO cross-validation, the clocks displayed age correlations as high asr = 0.941 (Supplementary Table1), suggesting their applicability to species not included in the training set. However, for certain species, such as bowhead whales, the basic clock’s predicted epigenetic age poorly ...
Delta age was defined as the difference between the scaled transcriptomic predicted age (SZ) and chronological age for each individual. We explored whether delta age was associated with any multi-systemic biological parameter (or biomarker) of ageing, such as sex, blood pressure, cholesterol levels...
Next, we predicted the target genes that may be regulated by the miRNAs in young and aged plasma sEVs. By literature mining, we identified the key targets shared by the representative miRNAs in aged and young plasma sEVs. As shown in Supplementary Fig. 17a, peroxisome proliferator-activated ...
Equation 1: First, we obtain the time dependent periodic force: $$\mathrm{F}(\mathrm{t})=\frac{\mathrm{A cos}(\mathrm{\omega t }+\mathrm{\varphi })}{\sqrt{2\mathrm{m\hbar }{\upomega }_{0}}}$$ (1.1) Then we obtain the amplitude: ...
Artificial intelligence (AI)-based approaches can now use electrocardiograms (ECGs) to provide expert-level performance in detecting heart abnormalities and diagnosing disease. Additionally, patient age predicted from ECGs by AI models has shown great potential as a biomarker for cardiovascular age, where...
At the heart of our model is the breeder’s equation from quantitative genetics20. We simplify this equation by assuming small additive genetic variance equal for all traits and no covariances between traits at all times. The model can accommodate all sorts of genetic effects beyond additive and...