Agam Ahmad, Søgaard Peter, Kragholm Kristian, Jensen Ask Schou, Sørensen Kasper, Hansen John, Schmidt Samuel
Faculty of Medicine, Aalborg University, Aalborg, Denmark.
Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark.
Eur Heart J Digit Health. 2022 Sep 2;3(3):465-472. doi: 10.1093/ehjdh/ztac043. eCollection 2022 Sep.
Echocardiography is a key diagnostic tool for assessment of myocardial performance and haemodynamics. Seismocardiography (SCG) can potentially provide fast and reliable assessments of key components related to myocardial performance. The aims of this study were to investigate the correlation between SCG and echocardiographic measures, and a decrease in preload by raising the subjects to a 30° head-up tilt position would be detected by both echocardiography and SCG.
A total of 45 subjects were included in the study. SCG and electrocardiogram were recorded simultaneously and afterwards echocardiography was recorded. The SCG signals were divided into individual heart beats using a duration-dependent Markov model. Using a fiducial point detection algorithm, the diastolic fiducial points were identified. The amplitudes from the SCG showed a high correlation, especially with the variable ' from the echocardiography. The peak-to-peak amplitude of the diastolic SCG complex and ' had a high correlation of 0.713 ( < 0.001). The second minimum in diastolic occurring after the closing of the aortic valve was the only amplitude showing a high correlation when comparing supine with head-up tilt in the SCG. All the echocardiography variables but /' showed a high correlation when comparing supine with head-up tilt.
The results found in this study showed a high correlation between the amplitudes from the diastolic SCG and the diastolic variable ' from the echocardiography, thus indicating that the SCG could potentially be utilized to evaluate the diastolic function.
超声心动图是评估心肌功能和血流动力学的关键诊断工具。心震图（SCG）有可能对与心肌功能相关的关键成分进行快速可靠的评估。本研究的目的是调查SCG与超声心动图测量值之间的相关性，并且通过将受试者头部抬高至30°仰卧位来降低前负荷，这一变化将通过超声心动图和SCG检测到。
本研究共纳入45名受试者。同时记录SCG和心电图，随后记录超声心动图。使用基于持续时间的马尔可夫模型将SCG信号分为单个心跳。使用基准点检测算法识别舒张期基准点。SCG的幅度显示出高度相关性，尤其是与超声心动图中的变量“ ”。舒张期SCG复合波的峰峰值幅度与“ ”具有0.713的高度相关性（ ＜0.001）。在主动脉瓣关闭后出现的舒张期第二个最小值是在比较SCG仰卧位和头高位时唯一显示出高度相关性的幅度。当比较仰卧位和头高位时，除“ /' ”外的所有超声心动图变量都显示出高度相关性。
本研究结果表明，舒张期SCG的幅度与超声心动图舒张期变量“ ”之间存在高度相关性，因此表明SCG有可能用于评估舒张功能。
