EcgScorer：用于心电信号质量评估的开源 MATLAB 工具箱

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING SoftwareX Pub Date : 2024-09-23 DOI:10.1016/j.softx.2024.101900

Noura Alexendre , Fotsing Kuetche , Ntsama Eloundou Pascal , Simo Thierry

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引用次数: 0

摘要

心血管疾病每年夺去 1700 多万人的生命。预防包括养成健康的生活习惯和定期检查，最好是在医院外利用远程医疗工具降低医疗成本。然而，由于心电图（ECG）中的噪声干扰，在医院外诊断心血管疾病可能具有挑战性，因此有必要使用信号质量评估（SQA）系统。本文介绍了一种用于自动心电图信号质量评估的 MATLAB 工具箱，它采用了一种新颖的方法。此外，该工具箱可提取多达 37 个信号质量指标 (SQI)，这些指标通常用作基于机器学习的 SQA 的特征。因此，我们的软件有望促进医疗保健过程，从而实现高效、经济的心血管护理。

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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EcgScorer: An open source MATLAB toolbox for ECG signal quality assessment

Cardiovascular diseases claim over 17 million lives annually. Prevention involves adopting healthy habits and regular check-ups, ideally outside hospitals to reduce healthcare costs, leveraging telemedicine tools. However, diagnosing CVDs outside hospitals can be challenging due to noise interference in electrocardiograms (ECGs), necessitating the use of Signal Quality Assessment (SQA) systems. This paper presents a MATLAB toolbox for automated ECG Signal Quality Assessment, featuring a novel method. Furthermore, the toolbox can extract up to 37 Signal Quality Indices (SQIs), commonly used as features in machine learning-based SQA. Therefore, our software has the potential to facilitate the healthcare process, resulting in efficient and cost-effective cardiovascular care.

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

期刊介绍： SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.