同步的运动后心电图,心声图,光电图和地震图
Aleksandar Lazović1, Vladimir Atanasoski1, Predrag Tadić2
1Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, Mike Petrovića Alasa 12-14, Belgrade, 11000, Serbia.
Scientific data
|August 20, 2025
概括
这项研究介绍了SensSmartTech,这是第一个广泛的心率范围内的心血管信号数据集. 本资源有助于纠正疾病生物标志物,了解心肺和电机学合.
科学领域:
- 生物医学工程 生物医学工程
- 心血管生理学心血管生理学
- 医学数据科学 医学数据科学
背景情况:
- 非侵入性电机学评估对于诊断心力衰竭和动脉疾病至关重要.
- 现有的方法缺乏数据集来系统地研究心率对机械波形的影响.
研究的目的:
- 介绍SensSmartTech,这是第一个跨广泛心率范围的多参数心血管信号数据集.
- 为了能够系统地研究心率对心血管波形的影响,以纠正生物标志物和获得生理洞察力.
主要方法:
- 同时获得心电图,心声图,动脉脉冲,胸部振动和生物阻抗波形.
- 使用跑步机协议,系统测量了52-182次每分钟心率范围的信号.
主要成果:
- 该SensSmartTech数据集提供了全面的多参数心血管信号.
- 数据涵盖了广泛的心率变化,从每分钟52到182跳,通过受控的运动实现.
结论:
- SensSmartTech是精炼心血管疾病生物标志物的宝贵资源.
- 该数据集促进了对心肺和电机学合的新型研究.
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