Heart Rate Variability as Biomarker for Prognostic of Metabolic Disease

Alondra Albarado-Ibañez, R. E. Arroyo-Carmona, D. Bernabé-Sánchez, Marissa Limón-Cantú, Benjamín López-Silva, Martha Lucía Ita-Amador, J. Torres-Jácome
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Abstract

Lifestyle emerging diseases like obesity, metabolic syndrome (MeS), and diabetes mellitus are considered high-risk factors for lethal arrhythmias and side effects. A Poincaré plot is constructed with the time series of RR and PP electrocardiogram (ECG) intervals, using two stages: the new phase and the old phase. We proposed this diagram of two dimensions, a way to quantify and observe the regularity of events in space and time. Therefore, the heart rate variability (HRV) can be used as a biomarker for early prognostic and diagnostic of several metabolic diseases; additionally, this biomarker is obtained by a noninvasive tool like the electrocardiogram.
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心率变异性作为代谢性疾病预后的生物标志物
生活方式引起的疾病,如肥胖、代谢综合征(MeS)和糖尿病被认为是致死性心律失常和副作用的高危因素。用RR和PP心电图间隔时间序列构建了poincar图,分为新期和旧期两个阶段。我们提出了这种二维图,一种量化和观察事件在空间和时间中的规律性的方法。因此,心率变异性(HRV)可作为几种代谢性疾病早期预后和诊断的生物标志物;此外,这种生物标志物可以通过心电图等非侵入性工具获得。
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