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心震图与超声心动图得出的心脏静止期之间的关系。

Relationship between cardiac quiescent periods derived from seismocardiography and echocardiography.

作者信息

Wick Carson A, Inan Omer T, Bhatti Pamela, Tridandapani Srini

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2015 Aug;2015:687-90. doi: 10.1109/EMBC.2015.7318455.

DOI:10.1109/EMBC.2015.7318455
PMID:26736355
Abstract

The seismocardiogram (SCG) is a measure of chest wall acceleration due to cardiac motion that could potentially supplement the electrocardiogram (ECG) to more reliably predict cardiac quiescence. Accurate prediction is critical for modalities requiring minimal motion during imaging data acquisition, such as cardiac computed tomography (CT) and magnetic resonance imaging (MRI). For seven healthy subjects, SCG and B-mode echocardiography were used to identify quiescent periods on a beat-by-beat basis. Quiescent periods were detected as time intervals when the magnitude of the velocity signals calculated from SCG and echocardiography were less than a specified threshold. The quiescent periods detected from SCG were compared to those detected from B-mode echocardiography. The quiescent periods of the SCG were found to occur before those detected by echocardiography. A linear relationship between the delay from SCG- to echocardiography-detected phases with respect to heart rate was found. This delay could potentially be used to predict cardiac quiescence from SCG-observed quiescence for use with cardiac imaging modalities such as CT and MRI.

摘要

心震图(SCG)是一种因心脏运动导致胸壁加速度的测量方法,它有可能补充心电图(ECG),从而更可靠地预测心脏静止期。准确预测对于成像数据采集期间需要最小运动的模态至关重要,例如心脏计算机断层扫描(CT)和磁共振成像(MRI)。对于七名健康受试者,使用心震图和B型超声心动图逐搏识别静止期。静止期被检测为从心震图和超声心动图计算出的速度信号幅度小于指定阈值的时间间隔。将心震图检测到的静止期与B型超声心动图检测到的静止期进行比较。发现心震图的静止期比超声心动图检测到的静止期更早出现。发现从心震图检测到的阶段到超声心动图检测到的阶段的延迟与心率之间存在线性关系。这种延迟有可能用于根据心震图观察到的静止期预测心脏静止期,以用于诸如CT和MRI等心脏成像模态。

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Relationship between cardiac quiescent periods derived from seismocardiography and echocardiography.心震图与超声心动图得出的心脏静止期之间的关系。
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Seismocardiography-Based Cardiac Computed Tomography Gating Using Patient-Specific Template Identification and Detection.
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IEEE J Transl Eng Health Med. 2017 Jul 7;5:1900314. doi: 10.1109/JTEHM.2017.2708100. eCollection 2017.