用于左心室肥大诊断的双边信号变形
Bilateral Signal Warping for Left Ventricular Hypertrophy Diagnosis
AI总结：
本研究提出双边信号变形（BSW）方法，通过构建正常与左心室肥大的心跳原型库并比对心电图特征，改进了基于ECG的LVH诊断，展现出良好的临床应用潜力。
摘要：
左心室肥大（LVH）是一种主要的心血管风险因素，与心力衰竭、心律失常和心脏性猝死相关，通常由高血压等慢性压力引起。心电图（ECG）虽然在灵敏度上存在差异，但在检测LVH相关的形态学变化方面具有广泛可及性和成本效益。本研究提出了一种双边信号变形（BSW）方法来改进基于ECG的LVH诊断。该方法从具有一致ECG模式的患者中创建心跳原型库。在预处理以消除基线漂移和检测R峰之后，应用BSW对心跳进行聚类，为正常和LVH类别生成原型。我们将每条新记录与这些参考进行比较以支持诊断。实验结果表明其在临床环境中的实际应用具有广阔前景。
英文摘要：
Left Ventricular Hypertrophy (LVH) is a major cardiovascular risk factor, linked to heart failure, arrhythmia, and sudden cardiac death, often resulting from chronic stress like hypertension. Electrocardiography (ECG), while varying in sensitivity, is widely accessible and cost-effective for detecting LVH-related morphological changes. This work introduces a bilateral signal warping (BSW) approach to improve ECG-based LVH diagnosis. Our method creates a library of heartbeat prototypes from patients with consistent ECG patterns. After preprocessing to eliminate baseline wander and detect R peaks, we apply BSW to cluster heartbeats, generating prototypes for both normal and LVH classes. We compare each new record to these references to support diagnosis. Experimental results show promising potential for practical application in clinical settings.
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