D'Mello Yannick, Skoric James, Hakim Siddiqui, Aboulezz Ezz, Clairmonte Nathan, Lortie Michel, Plant David V
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:17-20. doi: 10.1109/EMBC44109.2020.9175323.
Cardiography enables diagnostic and preventive care in hospitals and outpatient scenarios. However, most heart monitors do not distinguish the phases of the cardiac cycle. The transition between phases is indicated by the primary heart sounds.
Automatically identify the vibrations corresponding to both heart sounds.
Cardiac activity was monitored for 15 subjects while at rest, during exertion, and while performing static breath holds. The subjects consisted of 6 males and 9 females between the ages of 18-39 years with no known cardiorespiratory ailments. Motion corresponding to the heart sounds was identified using vibrational cardiography (VCG). The waveforms were processed to obtain quantities associated with their linear jerk and rotational kinetic energy.
The ability to identity the first vibration was evaluated using the heart rate as a figure of merit. Its correlation with electrocardiography (ECG) measurements produced a r coefficient of 0.9887. The second vibration was compared with impedance cardiography (ICG) based on its delay from the ECG R-peak, and the fraction of the beat duration occupied by left ventricular ejection time. The comparisons produced r values of 0.251 and 0.2797, respectively.
The vibrations corresponding to both primary heart sounds have the potential to be analyzed using VCG.
This study provides evidence of the feasibility of using VCG in identifying mechanical cardiovascular function. It facilitates non-invasive cardiac health monitoring in daily life.
心电图检查可用于医院和门诊场景中的诊断和预防保健。然而，大多数心脏监测仪无法区分心动周期的各个阶段。各阶段之间的转变由第一心音指示。
自动识别与两个心音相对应的振动。
对15名受试者在静息、运动和进行静态屏气时的心脏活动进行监测。受试者包括6名男性和9名女性，年龄在18 - 39岁之间，无已知心肺疾病。使用振动心电图（VCG）识别与心音相对应的运动。对波形进行处理以获得与其线性加速度和旋转动能相关的量。
以心率作为评估指标来评估识别第一次振动的能力。其与心电图（ECG）测量值的相关性产生的r系数为0.9887。根据第二次振动相对于心电图R波峰的延迟以及左心室射血时间占心动周期的比例，将其与阻抗心动图（ICG）进行比较。比较结果产生的r值分别为0.251和0.2797。
与两个主要心音相对应的振动有可能通过VCG进行分析。
本研究提供了使用VCG识别心血管机械功能可行性的证据。它有助于在日常生活中进行无创心脏健康监测。
