利用多维集合经验模式分解法分离电阻抗断层扫描图像流中的通气和灌注。

IF 2.3 4区 医学 Q3 BIOPHYSICS Physiological measurement Pub Date : 2024-07-26 DOI:10.1088/1361-6579/ad5c39
Alfred Christian Hülkenberg, Chuong Ngo, Robert Lau, Steffen Leonhardt
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引用次数: 0

摘要

目标:未来,胸部电阻抗断层扫描(EIT)监测可能包括对呼吸和心脏活动的连续、同步跟踪。 方法:本研究分析了多维集合经验模式分解(MEEMD)的潜力,即应用具有自适应噪声的完全集合经验模式分解(CEEMDAN)和基于频率的新型组合准则,对从年龄和体质相似的 9 名健康男性测试者处收集的 EIT 图像流进行去趋势、去噪和源分离。 主要成果:本文提出了一种估算 EIT 图像中肺、心脏和灌注区域的新方法,该方法基于呼吸和心脏最大变化指数与其周围环境之间的均方根误差(RMSE)。将各区域的指数相加,就能显示出具有生理意义的时间信号,并将其分为静息时通气和心脏活动的生理带宽。此外,还将各区域与相对胸廓运动和光电血流图(PPG)信号进行了比较。在线性回归分析和布兰-阿尔特曼图中,通气相关信号和心脏相关信号的逐次搏动时间过程与各自的参考信号高度相似。在所有分析中,心脏相关信号与 PPG 信号之间的相关性为 0.587 至 0.905。
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Separation of ventilation and perfusion of electrical impedance tomography image streams using multi-dimensional ensemble empirical mode decomposition.

Objective.In the future, thoracic electrical impedance tomography (EIT) monitoring may include continuous and simultaneous tracking of both breathing and heart activity. However, an effective way to decompose an EIT image stream into physiological processes as ventilation-related and cardiac-related signals is missing.Approach.This study analyses the potential ofMulti-dimensional Ensemble Empirical Mode Decompositionby application of theComplete Ensemble Empirical Mode Decomposition with Adaptive Noiseand a novel frequency-based combination criterion for detrending, denoising and source separation of EIT image streams, collected from nine healthy male test subjects with similar age and constitution.Main results.In this paper, a novel approach to estimate the lung, the heart and the perfused regions of an EIT image is proposed, which is based on theRoot Mean Square Errorbetween the index of maximal respiratory and cardiac variation to their surroundings. The summation of the indexes of the respective regions reveals physiologically meaningful time signals, separated into the physiological bandwidths of ventilation and heart activity at rest. Moreover, the respective regions were compared with the relative thorax movement and photoplethysmogram (PPG) signal. In linear regression analysis and in the Bland-Altman plot, the beat-to-beat time course of both the ventilation-related signal and the cardiac-related signal showed a high similarity with the respective reference signal.Significance.Analysis of the data reveals a fair separation of ventilatory and cardiac activity realizing the aimed source separation, with optional detrending and denoising. For all performed analyses, a feasible correlation of 0.587 to 0.905 was found between the cardiac-related signal and the PPG signal.

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来源期刊
Physiological measurement
Physiological measurement 生物-工程:生物医学
CiteScore
5.50
自引率
9.40%
发文量
124
审稿时长
3 months
期刊介绍: Physiological Measurement publishes papers about the quantitative assessment and visualization of physiological function in clinical research and practice, with an emphasis on the development of new methods of measurement and their validation. Papers are published on topics including: applied physiology in illness and health electrical bioimpedance, optical and acoustic measurement techniques advanced methods of time series and other data analysis biomedical and clinical engineering in-patient and ambulatory monitoring point-of-care technologies novel clinical measurements of cardiovascular, neurological, and musculoskeletal systems. measurements in molecular, cellular and organ physiology and electrophysiology physiological modeling and simulation novel biomedical sensors, instruments, devices and systems measurement standards and guidelines.
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