Objective: Heart rate variability (HRV) has been proven to be an important indicator of physiological status for numerous applications. Despite the progress and active developments made in HRV metric research over the last few decades, the representation of the heartbeat sequence upon which HRV is based has received relatively little attention. The recently introduced heart rate n-variability (HRnV) offers an alternative to R-to-R peak interval representations which complements conventional HRV analysis by considering HRV behavior on varying scales. Although HRnV has been shown to improve triage in pilot studies, there is currently no open and standard software to support future research of HRnV and its broader clinical applications. We aimed to develop an open, reliable, and easy to use software package implementing HRnV for further research and improvements of HRnV. This package has been designed to facilitate collaborative investigations between clinicians and researchers to study HRnV in various contexts and applications. Approach: We developed an open-source software, HRnV-Calc, based on the PhysioNet Cardiovascular Signal Toolbox (PCST), which features comprehensive graphical user interfaces (GUIs) for HRnV and HRV analysis. Main results: While preserving the core functionalities and performance of PCST, HRnV-Calc enables step-by-step manual inspection and configuration of HRV and HRnV analysis, so that results can be debugged, easily interpreted, and integrated to downstream applications. Significance: The open-source HRnV-Calc software, an accessible and standardized HRV and HRnV analysis platform, enhances the scope of HRV assessment and is designed to assist in future improvements and applications of HRnV and related research.
翻译:目标:心率变异(HRV)已被证明是许多应用中生理状况的一个重要指标。尽管过去几十年来在HRV衡量研究方面取得了进展并取得了积极进展,但HRV所依据的心跳序列的表述相对较少受到重视。最近引入的心率变异(HRnV)为R-R峰间距展示提供了替代选择,通过考虑不同规模的HRV行为来补充常规的HRV行为分析。虽然HRnV显示在试点研究中改进了分级,但目前没有便于支持HRnV及其更广泛的临床应用的未来研究的开放和标准软件。我们的目标是开发一个公开、可靠和易于使用软件包的显示,以实施HRnV的心跳序列序列序列进行进一步的研究和改进。这个软件的设计是为了便利临床医生和研究人员之间开展合作性调查,以研究不同规模的HRV行为分析。我们开发了一个开放源软件(HRnV-C),基于PhysioNet无障碍的心血管工具箱(PCTC),该软件的综合性用户界面界面接口(GUIS),HRVS-Slusal-Slationalal 和HRV的分级分析(HRV),这是HRV的核心、HRV的系统-Slvial-Slvial-Servial-lavial-Slal-Slal-Sal-Sl)和Supal-Sal-Sal-Sal-al-Sal-Sal-Sal-Sal-Supal-Supal-Sal-Sal-Sal-Sal-Supal-Supal-Supal-Supal-Supal-Supal-Supal-Sal-Supal-Sal-Sal-Sal-SD-s-Sal-Sal-sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal-Sal