从心电图衍生的呼吸信号和呼吸波形来估计潮体积的可行性
Hyun-Lim Yang1, Seong-A Park2, Hong Yeul Lee2
1Office of Hospital Information, Seoul National University Hospital, Seoul, Republic of Korea; Innovative Medical Technology Research Institute, Seoul National University Hospital, Seoul, Republic of Korea.
Journal of critical care
|September 24, 2024
概括
使用心电学衍生呼吸 (EDR) 估计潮体积 (VT) 是有希望的,但杂的ICU信号限制了准确性. 经过控制的数据显示了短期的相关性,这表明改善通风监测的潜力.
科学领域:
- 医疗监测 医疗监测
- 呼吸系统生理学 呼吸系统生理学
- 信号处理 信号处理
背景情况:
- 非侵入性地估计潮体积 (VT) 对于在麻醉和重症监护期间的患者监测至关重要.
- 目前的方法可能需要额外的设备,在特定的临床场景中带来挑战.
研究的目的:
- 为了验证和比较使用心电图衍生呼吸 (EDR) 的VT估计技术与现实世界的临床数据.
- 评估深度镇静或脊髓麻醉期间从心电图信号进行VT估计的可行性.
主要方法:
- 分析了90名危急病患者的心电图数据,用于一般分析和2个受约束分析.
- 通过基于阻抗的呼吸波形来生成EDR信号和VT估计.
- 使用MAE和Pearson相关性对线性回归和深度学习模型 (学科独立和特定) 的评估.
主要成果:
- 在VT和呼吸波形之间存在强烈的短期相关性 (r=0.78-0.96),随着时间的推移 (r=0.23到-0.16) 逐渐减弱.
- VT预测模型在一般人群中表现不佳 (R2=0.17).
- 在两个受限制的患者记录中观察到令人满意的表现 (R2=0.84-0.94).
结论:
- 基于EDR的VT估计是有希望的,但目前受到杂的ICU ECG信号的限制.
- 控制环境数据显示了显著的短期相关性.
- 未来的研究应该专注于可靠的EDR提取和改进的预测模型,以获得更广泛的临床应用.
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