Cardiorespiratory DB

The database is constituted by 50 datasets containing cardiorespiratory signals acquired from 50 healthy volunteer subjects (one dataset for each subject; 23 males and 27 females; age: 23±5 years) while performing normal breathing, deep breathing, and breath holding, and two spreadsheet files, namely the “SubjectsInfo.xlsx” and “DBInfo.xlsx” containing the metadata of subjects (including demographic data) and of acquired signals, respectively.
Cardiorespiratory signals consisted in simultaneously recorded 12-lead electrocardiograms acquired by the clinical M12 Global Instrumentation® digital Holter ECG recorder, and single-lead electrocardiograms and respiration signals acquired by the wearable chest strap BioHarness 3.0 by Zephyr.
The database may be useful to: (1) validate the use of wearable sensors in the acquisition of cardiorespiratory data during different respiration kinds, including apnea; (2) investigate the physiological association between cardiovascular and respiratory systems; (3) validate algorithms able to indirectly extract the respiration signal from the electrocardiogram; (4) study the fatigue level induced by a series of controlled respiration patterns; and (5) investigate the effect of COVID-19 infection on the cardiorespiratory system.

本数据库包含50份来自50名健康志愿者的心肺信号数据集（每名受试者对应一份数据集；其中男性23名，女性27名；年龄为23±5岁），受试者在完成正常呼吸、深呼吸及屏气三种呼吸模式时进行信号采集；此外附带两份电子表格文件，分别为"SubjectsInfo.xlsx"与"DBInfo.xlsx"，前者存储受试者元数据（含人口统计学信息），后者存储采集信号的元数据。本次采集的心肺信号包括：采用临床级M12 Global Instrumentation®数字动态心电图（Holter ECG）记录仪同步采集的12导联心电图，以及通过Zephyr公司BioHarness 3.0可穿戴胸带采集的单导联心电图与呼吸信号。本数据库可用于以下研究场景：(1) 验证可穿戴传感器在不同呼吸模式（包括呼吸暂停）下采集心肺数据的可行性与有效性；(2) 探究心血管系统与呼吸系统之间的生理学关联；(3) 验证可从心电图间接提取呼吸信号的相关算法；(4) 研究一系列受控呼吸模式所诱导的机体疲劳程度；(5) 探究新型冠状病毒肺炎（COVID-19）感染对心肺系统的影响。