Development of an AI-based algorithm designed to model and predict temporal dynamics of heart rate variability (HRV)

IF 3.7 3区医学 Q2 PHARMACOLOGY & PHARMACY

Vascular pharmacology Pub Date : 2026-06-01 Epub Date: 2026-06-11 DOI:10.1016/j.vph.2026.107620

E. Billi , F. Uberti , E. Molinari , D. Zagami , C. Molinari

引用次数: 0

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开发一种基于人工智能的算法，用于建模和预测心率变异性（HRV）的时间动态。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Vascular pharmacology 医学-药学

CiteScore

6.60

自引率

2.50%

发文量

153

审稿时长

31 days

期刊介绍： Vascular Pharmacology publishes papers, which contains results of all aspects of biology and pharmacology of the vascular system. Papers are encouraged in basic, translational and clinical aspects of Vascular Biology and Pharmacology, utilizing approaches ranging from molecular biology to integrative physiology. All papers are in English. The Journal publishes review articles which include vascular aspects of thrombosis, inflammation, cell signalling, atherosclerosis, and lipid metabolism.