麦克戴普斯 (McDAPS):一个用于临床研究人员的多通道生理信号显示和分析系统
Wanwara Thuptimdang1, Patjanaporn Chalacheva2, Thomas D Coates3
1Institute of Biomedical Engineering, Department of Biomedical Sciences and Biomedical Engineering, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand.
概括
麦克达普斯是使用生理数据分析自主失衡的新软件. 它提供交互工具来处理和分析RR间隔和血压,帮助研究自主神经系统功能.
科学领域:
- 生理学 生理学 生理学
- 生物医学工程 生物医学工程
- 计算生物学 计算生物学
背景情况:
- 自主失衡与各种健康状况有关.
- 准确评估自主功能依赖于复杂的生理数据分析.
- 现有的工具可能缺乏对非侵入性自主评估的全面功能.
研究的目的:
- 引入McDAPS,一个用于评估自主失衡的交互式软件工具.
- 为研究人员提供一个用户友好的平台来分析多通道生理记录.
- 为了促进心血管和呼吸系统信号的详细节拍分析.
主要方法:
- 开发具有图形用户界面 (GUI) 的McDAPS软件.
- 提取节奏对节奏的生理参数,包括RR间隔,静缩和静缩血压,光电心电图的振幅.
- 实施分析模块,用于功率光谱分析 (静态和时间变量),移动相关性和单变量分析.
- 支持批处理和输出CSV格式的结果.
主要成果:
- 麦克达普斯成功地处理了用于自主失衡评估的非侵入性生理记录.
- 该软件能够实现交互式可视化和详细的节奏分析.
- 有多个分析模块可用,包括先进的光谱和相关技术.
结论:
- 麦克达普斯为研究自主神经系统功能的研究人员提供了一种多功能和交互式解决方案.
- 该软件增强了从随时可用的生理数据评估自主失衡的能力.
- 源代码的可用性促进了透明度和该领域的进一步发展.
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