The UNICA sleep HRV analysis tool: an integrated open-source tool for heart rate variability analysis during sleep.

IF 2.3 4区 医学 Q3 BIOPHYSICS Physiological measurement Pub Date : 2025-01-30 DOI:10.1088/1361-6579/adaad5
Parisa Sattar, Giulia Baldazzi, Monica Puligheddu, Danilo Pani
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Abstract

Heart rate variability (HRV) analysis during sleep plays a key role for understanding autonomic nervous system function and assessing cardiovascular health. The UNICA Sleep HRV analysis (UNICA-HRV) tool is a novel, open-source MATLAB tool designed to fill the gap in current HRV analysis tools. In particular, the integration of ECG and HRV data with hypnogram information, which illustrates the progression through the different sleep stages, eases the computation of HRV metrics in polysomnographic recordings. This integration is crucial for accurate phase-specific analysis, as autonomic regulation changes markedly across different sleep stages. The tool supports single- and multiple-subject analyses and is tailored to enhance usability and accessibility for researchers and clinicians without requiring extensive technical expertise. It implements and supports a variety of data inputs and configurations, allowing for flexible, detailed HRV analyses across sleep stages, employing classical and advanced metrics, such as time-domain, frequency-domain, non-linear, complexity, and Poincaré plot indexes. Validation of the tool against established tools like Kubios and PhysioZoo indicates its robustness and precision in generating reliable HRV metrics, that are essential not only for sleep research, but also for clinical diagnostics. The introduction of UNICA-HRV represents a significant simplification for sleep studies, and its open-source nature (licensed under a Creative Commons Attribution 4.0 International License) allows to easily extend the functionality to other needs.

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UNICA睡眠HRV分析工具:一个集成的开源工具,用于分析睡眠期间的心率变异性。
睡眠时心率变异性(HRV)分析对了解自主神经系统功能和评估心血管健康起着关键作用。UNICA睡眠HRV分析(UNICA-HRV)工具是一种新颖的开源MATLAB工具,旨在填补当前HRV分析工具的空白。特别是,将ECG和HRV数据与催眠图信息相结合,可以说明不同睡眠阶段的进展,从而简化了多导睡眠图记录中HRV指标的计算。这种整合对于准确的特定阶段分析至关重要,因为自主调节在不同的睡眠阶段发生显著变化。该工具支持单主题和多主题分析,并为研究人员和临床医生量身定制,以提高可用性和可访问性,而无需广泛的技术专业知识。它实现并支持各种数据输入和配置,允许跨睡眠阶段灵活、详细的HRV分析,采用经典和先进的指标,如时域、频域、非线性、复杂性和poincar图索引。与Kubios和PhysioZoo等已建立的工具进行的验证表明,该工具在生成可靠的HRV指标方面具有稳健性和精确性,这不仅对睡眠研究至关重要,而且对临床诊断也至关重要。UNICA-HRV的引入代表了睡眠研究的重大简化,其开源性质(根据知识共享署名4.0国际许可许可)允许轻松扩展功能以满足其他需求。
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来源期刊
Physiological measurement
Physiological measurement 生物-工程:生物医学
CiteScore
5.50
自引率
9.40%
发文量
124
审稿时长
3 months
期刊介绍: Physiological Measurement publishes papers about the quantitative assessment and visualization of physiological function in clinical research and practice, with an emphasis on the development of new methods of measurement and their validation. Papers are published on topics including: applied physiology in illness and health electrical bioimpedance, optical and acoustic measurement techniques advanced methods of time series and other data analysis biomedical and clinical engineering in-patient and ambulatory monitoring point-of-care technologies novel clinical measurements of cardiovascular, neurological, and musculoskeletal systems. measurements in molecular, cellular and organ physiology and electrophysiology physiological modeling and simulation novel biomedical sensors, instruments, devices and systems measurement standards and guidelines.
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