Automatic Electrocardiogram Detection of Suspected Hypertrophic Cardiomyopathy: Application to Wearable Heart Monitors.
Automatic Electrocardiogram Detection of Suspected Hypertrophic Cardiomyopathy: Application to Wearable Heart Monitors.
复制标题
疑似肥厚型心肌病的自动心电图检测：在可穿戴心脏监护仪中的应用。
DOI：
10.1109/lsens.2021.3096382
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发表时间：
2021
影响因子：
2.8
通讯作者：
Oladunni,Timothy
中科院分区：
文献类型：
--
作者：
Denis,Max;Bachoro,Mulatu;Gebreslassie,Winta;Oladunni,Timothy
在这封信中，肥厚型心肌病（HCM）的自动检测算法。特别令人感兴趣的是，该算法能够区分HCM受试者和健康志愿者从一个单一的铅ECG数据集。疑似HCM受试者通过与HCM相关的主要临床异常来识别：左心室肥大（LVH）。总共研究了n= 43个人类受试者ECG数据集：n= 21个健康志愿者和n = 22个LVH患者。对于相应的ECG参数，发现p值0.01和0.04的显著差异，即，S波振幅和ST段，区分LVH患者和健康志愿者。
In this letter, an automatic detection algorithm for hypertrophic cardiomyopathy (HCM) is presented. Of particular interest is the algorithm's ability to differentiate HCM subjects and healthy volunteers from a single lead ECG dataset. Suspected HCM subjects are identified by the primary clinical abnormality associated with HCM: left ventricular hypertrophy (LVH). In total,n= 43 human subjects ECG datasets are investigated:n= 21 healthy volunteers andn= 22 LVH patients. Significant differences ofp-value 0.01 and 0.04 were found for the respective ECG parameters, i.e., S-wave amplitude and ST-segment, when differentiating between the LVH patients and healthy human volunteers.