Mean Pressure Gradient Prediction Based on Chest Angular Movements and Heart Rate Variability Parameters
Mean Pressure Gradient Prediction Based on Chest Angular Movements and Heart Rate Variability Parameters
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DOI：
10.1109/embc46164.2021.9630805
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发表时间：
2021-11
期刊：
影响因子：
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通讯作者：
Arash Shokouhmand;Chenxi Yang;Nicole D. Aranoff;E. Driggin;Philip Green;Negar Tavassolian
中科院分区：
文献类型：
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作者：
Arash Shokouhmand;Chenxi Yang;Nicole D. Aranoff;E. Driggin;Philip Green;Negar Tavassolian
这项研究介绍了我们的最新发现，平均压力梯度分类的角度胸部运动(AS)的患者。目前，主动脉狭窄的严重程度是用超声心动图测量的，这是一项昂贵的技术。建议的框架促进了低成本可穿戴传感器的使用，并基于从陀螺仪读数中提取特征。特征空间由心跳时间间隔和心率变异性(HRV)参数组成，用于确定疾病的严重程度。使用最先进的机器学习(ML)方法将严重程度分为轻度、中度和重度。性能最好的是光梯度增强机器(Light GBM)，F1得分为94.29%，准确率为94.44%。此外，基于博弈论的分析被用来检查顶级特征及其对严重程度的平均影响。研究表明，等容收缩时间(IVCT)和等容松弛时间(IVRT)是AS严重程度最具代表性的特征。临床意义--建议的框架可能是一种合适的低成本替代超声心动图的方法，后者是一种昂贵的方法。
This study presents our recent findings on the classification of mean pressure gradient using angular chest movements in aortic stenosis (AS) patients. Currently, the severity of aortic stenosis is measured using ultra-sound echocardiography, which is an expensive technology. The proposed framework motivates the use of low-cost wearable sensors, and is based on feature extraction from gyroscopic readings. The feature space consists of the cardiac timing intervals as well as heart rate variability (HRV) parameters to determine the severity of disease. State-of-the-art machine learning (ML) methods are employed to classify the severity levels into mild, moderate, and severe. The best performance is achieved by the Light Gradient-Boosted Machine (Light GBM) with an F1-score of 94.29% and an accuracy of 94.44%. Additionally, game theory-based analyses are employed to examine the top features along with their average impacts on the severity level. It is demonstrated that the isovolumetric contraction time (IVCT) and isovolumetric relaxation time (IVRT) are the most representative features for AS severity.Clinical Relevance— The proposed framework could be an appropriate low-cost alternative to ultra-sound echocardiography, which is a costly method.