• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>2012 IEEE Student Conference on Research and Development >Early prediction of Cardiovascular Diseases using ECG signal: Review
【24h】

Early prediction of Cardiovascular Diseases using ECG signal: Review

机译：使用心电图信号早期预测心血管疾病：综述

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Recent survey has pointed out that, by 2030, almost 23.6 million people will die from Cardiovascular Diseases (CVD), mainly from heart disease and stroke. These are projected to remain the single leading causes of death. One of CVD risk factors is atherosclerosis which can be predicted by myocardial ischemia detection; where this condition is caused by the lack of oxygen and nutrients to the contractile cells [3]. Ischemia changes of the ECG frequently affect the entire wave shape of ST-T complex, thus are inadequately described by isolated feature such as ST slope, ST-J amplitude and positive and negative amplitude of the T wave. In order to identify the abnormal CVDs due to the traditional risk factor such as tobacco smoking, there are several types of classifier have been used in the previous research works such as Artificial Neural Network (ANN)[21], Fuzzy Logic system[22], Linear Discriminant Analysis (LDA) and Support Vector Machine (SVM). Most of the researchers used SVM and Fuzzy Logic system in their studies [11][23].
机译：最近的调查指出，到2030年，将有2360万人死于心血管疾病（CVD），主要死于心脏病和中风。预计这些仍然是导致死亡的唯一主要原因。 CVD的危险因素之一是动脉粥样硬化，可通过心肌缺血检测来预测。这种情况是由于收缩细胞缺乏氧气和营养导致的[3]。 ECG的缺血性变化经常影响ST-T复合体的整个波形，因此无法通过孤立的特征（例如ST斜率，ST-J振幅以及T波的正负振幅）来充分描述。为了识别由于吸烟等传统危险因素引起的异常CVD，以前的研究工作使用了几种类型的分类器，例如人工神经网络（ANN）[21]，模糊逻辑系统[22]。 ，线性判别分析（LDA）和支持向量机（SVM）。大多数研究人员在他们的研究中使用了SVM和模糊逻辑系统[11] [23]。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号