首页> 外文会议>Nordic-Baltic Conference on Biomedical Engineering and Medical Physics;Medicinteknikdagarna (Meeting) >HRV Analysis in CHF Patients with Different Etiologies by Means of Spectral and Nonlinear Indexes
【24h】

HRV Analysis in CHF Patients with Different Etiologies by Means of Spectral and Nonlinear Indexes

机译:通过光谱和非线性指标对不同病因的CHF患者的HRV分析

获取原文

摘要

Heart rate variability (HRV) has been widely investigated in a variety of clinical conditions, but few studies have assessed the changes in the heart rate with regard to different congestive heart failure (CHF) etiologies. The aim of this work was to characterize the heart rate variability of patients affected by CHF caused by dilated cardiomyopathy, ischemic heart disease or other different CHF etiologies, in comparison to that of healthy subjects. The parameters adopted for analysis were the power spectral density in the very low, low and high frequency bands, the power-law β exponent and the SD1 and SD2 indexes of the Poincare plot. Results showed significant changes related to etiology especially in the very low and high frequency bands and in the β exponent values, thus encouraging the future development of a classifier for the discrimination of the different CHF etiologies.
机译:心率变异性(HRV)已被广泛研究各种临床病症,但很少有研究已经评估了对不同充血性心力衰竭(CHF)病因的心率变化。 这项工作的目的是表征由扩张的心肌病,缺血性心脏病或其他不同的CHF病因影响受CHF影响的患者的心率变异,与健康受试者相比。 用于分析所采用的参数是非常低,低,高频带中的功率谱密度,功率律β指数和Poincare图的SD1和SD2指标。 结果表明,与病因有关的显着变化,特别是在非常低,高频带和β指数值中,从而促进分类器的未来发展,以识别不同的CHF病因。

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