Wearable Patch-Based Estimation of Oxygen Uptake and Assessment of Clinical Status during Cardiopulmonary Exercise Testing in Patients With Heart Failure.
Wearable Patch-Based Estimation of Oxygen Uptake and Assessment of Clinical Status during Cardiopulmonary Exercise Testing in Patients With Heart Failure.
复制标题
DOI：
10.1016/j.cardfail.2020.05.014
复制
发表时间：
2020-11
影响因子：
6
通讯作者：
Inan OT
中科院分区：
文献类型：
--
作者：
Shandhi MMH;Hersek S;Fan J;Sander E;De Marco T;Heller JA;Etemadi M;Klein L;Inan OT
利用一个小的可穿戴贴片同时记录的地震心动图（SCG）和心电图（ECG）信号，估计心肺运动试验（CPX）的摄氧量（VO2）。由于气体交换变量（如VO2）的特征具有预后价值，CPX是心力衰竭（HF）患者的重要风险分层工具。然而，CPX需要专门的设备，以及训练有素的专业人员来进行研究。我们共对59例射血分数降低的HF患者进行了68次CPX试验（31%为女性，平均年龄55±13岁，射血分数0.27±0.11,79%为C期）。受试者配备可穿戴传感贴片，并进行跑步机CPX。我们将数据集分为训练测试集（N=44）和单独的验证集（N=24）。我们开发了全球化（人口）回归模型，从连续测量的SCG和ECG信号中估计VO2。我们进一步使用SCG和ECG特征将患者分为D期或C期，以评估仅通过可穿戴贴片测量检测临床状态的能力。我们在训练测试集上开发了具有交叉验证的回归和分类模型，并在验证集上对模型进行了验证。根据可穿戴特征估计VO2的回归模型获得了中等相关性（R2为0.64），均方根误差（RMSE）为2.51±1.12 ml.kg−1。而验证集的R2和RMSE分别为0.76和2.28±0.93 ml.kg - 1。分钟−1分别。此外，临床状态分类的准确性、敏感性、特异性和受试者工作特征曲线下面积值，训练测试集分别为0.84、0.91、0.64和0.74，验证集分别为0.83、0.86、0.67和0.92。可穿戴SCG和ECG可以评估心衰患者的CPX摄氧量，从而对心衰患者的临床状态进行分类。这些方法可以通过跟踪心肺参数和专业设置之外的临床状态，为心衰患者的风险分层提供价值，可能允许在纵向监测和治疗期间进行更频繁的评估。
To estimate oxygen uptake (VO2) from cardiopulmonary exercise testing (CPX) using simultaneously recorded seismocardiogram (SCG) and electrocardiogram (ECG) signals captured with a small wearable patch. CPX is an important risk stratification tool for patients with heart failure (HF) due to the prognostic value of the features derived from the gas exchange variables such as VO2. However, CPX requires specialized equipment, as well as trained professionals to conduct the study. We have conducted a total of 68 CPX tests on 59 subjects with HF with reduced ejection fraction (31% women, mean age 55±13 years, ejection fraction 0.27±0.11, 79% stage C). The subjects were fitted with a wearable sensing patch and underwent treadmill CPX. We divided the dataset into a training-testing (N=44) and a separate validation set (N=24). We developed globalized (population) regression models to estimate VO2 from the SCG and ECG signals measured continuously with the patch. We further classified the patients as stage D or C using the SCG and ECG features to assess the ability to detect clinical state from the wearable patch measurements alone. We developed the regression and classification model with cross-validation on the training-testing set and validated the models on the validation set. The regression model to estimate VO2 from the wearable features yielded a moderate correlation (R2 of 0.64) with a root-mean-square-error (RMSE) of 2.51±1.12 ml.kg−1.min−1 on the training-testing set, whereas R2 and RMSE on the validation set were 0.76 and 2.28±0.93 ml.kg−1.min−1 respectively. Furthermore, the classification of clinical state yielded accuracy, sensitivity, specificity, and an area under the receiver operating characteristic curve values of 0.84, 0.91, 0.64, and 0.74 respectively for the training-testing set, and 0.83, 0.86, 0.67, and 0.92 respectively for the validation set. Wearable SCG and ECG can assess CPX oxygen uptake and thereby classify clinical status for patients with HF. These methods may provide value in risk stratification of patients with HF by tracking cardiopulmonary parameters and clinical status outside of specialized settings, potentially allowing for more frequent assessments to be performed during longitudinal monitoring and treatment.
登录
查看更多内容
影响因子：
3.7
作者：
Loe, Henrik;Rognmo, Oivind;Wisloff, Ulrik
通讯作者：
Wisloff, Ulrik
影响因子：
37.8
作者：
Guazzi, Marco;Arena, Ross;Lavie, Carl J.
通讯作者：
Lavie, Carl J.
DOI：
10.1161/circheartfailure.117.004313
发表时间：
2018-01
期刊：
Circulation. Heart failure
影响因子：
--
作者：
Inan OT;Baran Pouyan M;Javaid AQ;Dowling S;Etemadi M;Dorier A;Heller JA;Bicen AO;Roy S;De Marco T;Klein L
通讯作者：
Klein L
影响因子：
5.7
作者：
Levine, David M.;Ouchi, Kei;Schnipper, Jeffrey L.
通讯作者：
Schnipper, Jeffrey L.
影响因子：
13
作者：
Malhotra, Rajeev;Bakken, Kristian;Lewis, Gregory D.
通讯作者：
Lewis, Gregory D.