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Continuous monitoring of cardiac output from TCG signals.

机译:从TCG信号连续监测心输出量。

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Continuous measurement of cardiac output (CO) is an important and difficult measure to obtain in an ambulatory environment. A novel ambulatory monitoring system (LifeShirt, VivoMetrics, Inc., Ventura, CA, USA) with three Inductive Plethysmographic (IP) sensors embedded in a garment, enables continuous monitoring of respiration from the ribcage and abdomen areas, and captures thoracocardiograph (TCG) signals from the thorax at the level of the left ventricle. This TCG signal provides a non-invasive measure of the volumetric contractions of the heart. The raw TCG signal must undergo extensive signal processing and digital filtering to extract a volume curve similar to the ventricular volume curve obtained through echocardiography. Typically the respiratory component has an amplitude of over twenty times that of the stroke volume curve. This investigation compares various signal processing algorithms such as spectral subtraction and adaptive filtering to separate these 2 components, which can occupy the same frequency band. These algorithms make use of the ribcage and abdominal signals to predict the respiratory component within the TCG signal. A dual axis accelerometer that measures posture and levels of activity aids filtering movement artifact. With the addition of a single lead ECG, ensemble averaging is used to smooth artifact in the signal, and CO may be obtained by including a heart rate measure. Additional measures can be derived including left ventricular systolic time intervals such as Pre-ejection period, Peak ejection rate and time to peak ejection rate. The results show that increases and decreases in SV and CO can be measured over time.
机译:持续测量心输出量(CO)是在非卧床环境中获得的重要且困难的措施。一种新颖的动态监测系统(LifeShirt,VivoMetrics,Inc.,美国加利福尼亚州文图拉),在衣服中嵌入了三个感应式心律描记(IP)传感器,可以连续监测胸腔和腹部区域的呼吸,并采集胸腔心电图(TCG)来自左心室水平的胸部的信号。该TCG信号提供了心脏体积收缩的非侵入性测量。原始TCG信号必须经过广泛的信号处理和数字滤波,以提取类似于通过超声心动图获得的心室容积曲线的容积曲线。通常,呼吸成分的振幅是中风体积曲线振幅的二十倍以上。这项研究比较了各种信号处理算法,例如频谱减法和自适应滤波,以分离这两个可以占据相同频带的分量。这些算法利用胸腔和腹部信号来预测TCG信号中的呼吸成分。测量活动的姿势和水平的双轴加速度计有助于过滤运动伪影。通过添加单导联ECG,可以使用集成平均来平滑信号中的伪像,并且可以通过包括心率测量来获得CO。可以得出其他测量结果,包括左心室收缩时间间隔,例如射血前期,峰值射血率和达到峰值射血率的时间。结果表明,可以随时间测量SV和CO的增加和减少。

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