Thuptimdang Wanwara, Chalacheva Patjanaporn, Coates Thomas D, Khoo Michael C K
Institute of Biomedical Engineering, Department of Biomedical Sciences and Biomedical Engineering, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.
Biomedical Engineering Department, Carnegie Mellon University, Pittsburgh, PA, United States of America.
SoftwareX. 2023 Jul;23. doi: 10.1016/j.softx.2023.101482. Epub 2023 Jul 27.
We introduce McDAPS, an interactive software for assessing autonomic imbalance from non-invasive multi-channel physiological recordings. McDAPS provides a graphical user interface for data visualization, beat-to-beat processing and interactive analyses. The software extracts beat-to-beat RR interval systolic blood pressure, diastolic blood pressure, the pulse amplitude of photoplethysmogram and the pulse-to-pulse interval. The analysis modules include stationary and time-varying power spectral analyses, moving-correlation analysis and univariate analyses. Analyses can also be performed in batch mode if multiple datasets have to be processed in the same way. The program exports results in standard CSV format. McDAPS runs in MATLAB, and is supported on MS Windows and MAC OS systems. The MATLAB source code is available at https://github.com/thuptimd/McDAPS.git.
我们介绍了McDAPS，这是一款用于从无创多通道生理记录评估自主神经失衡的交互式软件。McDAPS提供了一个图形用户界面，用于数据可视化、逐搏处理和交互式分析。该软件可提取逐搏RR间期、收缩压、舒张压、光电容积脉搏波图的脉搏幅度以及逐搏间期。分析模块包括稳态和时变功率谱分析、移动相关性分析和单变量分析。如果需要以相同方式处理多个数据集，也可以在批处理模式下进行分析。该程序以标准CSV格式导出结果。McDAPS在MATLAB中运行，支持MS Windows和MAC OS系统。MATLAB源代码可在https://github.com/thuptimd/McDAPS.git获取。
