Yang Chenxi, Fan Foli, Aranoff Nicole, Green Philip, Li Yuwen, Liu Chengyu, Tavassolian Negar
School of Instrument Science and Engineering, Southeast University, Nanjing, China.
Mount Sinai Morningside Hospital, New York, NY, United States.
Front Physiol. 2021 Sep 30;12:750221. doi: 10.3389/fphys.2021.750221. eCollection 2021.
This paper describes an open-access database for seismo-cardiogram (SCG) and gyro-cardiogram (GCG) signals. The archive comprises SCG and GCG recordings sourced from and processed at multiple sites worldwide, including Columbia University Medical Center and Stevens Institute of Technology in the United States, as well as Southeast University, Nanjing Medical University, and the first affiliated hospital of Nanjing Medical University in China. It includes electrocardiogram (ECG), SCG, and GCG recordings collected from 100 patients with various conditions of valvular heart diseases such as aortic and mitral stenosis. The recordings were collected from clinical environments with the same types of wearable sensor patch. Besides the raw recordings of ECG, SCG, and GCG signals, a set of hand-corrected fiducial point annotations is provided by manually checking the results of the annotated algorithm. The database also includes relevant echocardiogram parameters associated with each subject such as ejection fraction, valve area, and mean gradient pressure.
本文描述了一个用于地震心动图(SCG)和陀螺心动图(GCG)信号的开放获取数据库。该存档包含来自全球多个地点并在这些地点处理的SCG和GCG记录,包括美国的哥伦比亚大学医学中心和史蒂文斯理工学院,以及中国的东南大学、南京医科大学和南京医科大学第一附属医院。它包括从100名患有各种瓣膜性心脏病(如主动脉瓣和二尖瓣狭窄)的患者收集的心电图(ECG)、SCG和GCG记录。这些记录是使用相同类型的可穿戴传感器贴片从临床环境中收集的。除了ECG、SCG和GCG信号的原始记录外,还通过人工检查注释算法的结果提供了一组手工校正的基准点注释。该数据库还包括与每个受试者相关的相关超声心动图参数,如射血分数、瓣膜面积和平均梯度压力。