Saraf Kanav, Baek Christopher I, Wasko Michael H, Zhang Xu, Zheng Yi, Borgstrom Per H, Mahajan Aman, Kaiser William J
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:4067-4070. doi: 10.1109/EMBC44109.2020.9176268.
This paper presents a fully-automated end-to-end phonocardiogram(PCG)-based wearable system capable of providing echocardiography-like metrics for left ventricular (LV) diastolic function assessment. Proxy metrics for five echocardiographic parameters were calculated based on physiologically-motivated features extracted from PCG signals using noise-subtraction, heartbeat-segmentation, and quality-assurance algorithms. The clinical value of these proxy metrics was evaluated using the latest American Society of Echocardiography/European Association of Cardiovascular Imaging guidelines for evaluation of LV diastolic function. When tested on a group of n=34 patients, proxy metrics successfully identified LV diastolic dysfunction in a n=29 subset with 87.5% accuracy, and elevated LV filling pressures in a n=17 subset with 75% accuracy.
本文介绍了一种基于心音图（PCG）的全自动端到端可穿戴系统，该系统能够提供类似超声心动图的指标，用于评估左心室（LV）舒张功能。基于使用噪声减法、心跳分割和质量保证算法从PCG信号中提取的生理特征，计算了五个超声心动图参数的替代指标。这些替代指标的临床价值根据美国超声心动图学会/欧洲心血管影像协会最新的左心室舒张功能评估指南进行评估。在一组n = 34例患者中进行测试时，替代指标在n = 29例亚组中成功识别出左心室舒张功能障碍，准确率为87.5%，在n = 17例亚组中成功识别出左心室充盈压升高，准确率为75%。
