首页> 外文会议>Electrical Communications and Computers (CONIELECOMP), 2012 22nd International Conference on >The effects of blood glucose changes on frequency-domain measures of HRV signal in type 1 diabetes
【24h】

The effects of blood glucose changes on frequency-domain measures of HRV signal in type 1 diabetes

机译:血糖变化对1型糖尿病患者HRV信号频域测量的影响

获取原文
获取原文并翻译 | 示例

摘要

The analysis of time duration between consecutive R waves of electrocardiogram (ECG) is a standard method to evaluate the variations in heart rate. The physiological literature reveals that blood glucose levels modulate the autonomic nervous system (ANS) activity and heart rate variability (HRV) is representative of the cardiovascular autonomic function. In the research described here, a pilot investigation was carried out to investigate the relationship between HRV signal measures derived from ECG and arterial blood glucose changes in a female subject with type 1 diabetes mellitus (T1DM) subject during normoglycemic and mildly hyperglycemic conditions. A CleveLabs BioCapture wireless device was used to acquire ECG signals from a 160 Kg, 59.6 year old female volunteer with type 1 diabetes. The PhysioToolkit Software was used to extract the HRV signal and the Kubios software package was deployed to perform comprehensive HRV signal analysis. This software has an easy-to-use graphical user interface that displays the HRV signal and provides three options to calculate: Time-domain, Frequency-domain and Nonlinear Dynamics parameters from raw HRV signals. In its Frequency-domain analysis section, it provides frequency bands such as VLF (Hz), LF (Hz), and HF (Hz), with LF/HF as an index that reflects the sympathovagal balance of the ANS. ECG data were acquired for 30 minutes during normoglycemic condition and for another 30 minutes during mildly hyperglycemic conditions, while blood glucose levels were measured manually by the subject using a glucometer every 5 minutes. ECG signal segments of 5 minute durations were then processed to extract HRV signals and these in turn were analyzed to provide frequency-domain measures. The results indicated that blood glucose changes were inversely related to LF/HF. For this dataset, it was observed that mean ± std of the LF/HF decreased from 6.0 ± 1.04 to 0.91 ± 0.17 when blood glucose levels increased from 156- ± 22 mg/dl to 202 ± 29 mg/dl. Further investigation is underway to recruit more diabetic subjects to acquire a large dataset and explore the relationships between different HRV signal parameters and blood glucose changes under different gylcemic conditions in a comprehensive way.
机译:分析连续两个心电图R波之间的持续时间(ECG)是评估心率变化的标准方法。生理文献显示,血糖水平可调节自主神经系统(ANS)的活动,而心率变异性(HRV)则代表心血管自主功能。在此处描述的研究中,进行了一项先导研究,以调查在正常血糖和轻度高血糖情况下,患有1型糖尿病(T1DM)的女性受试者中源自ECG的HRV信号测度与动脉血糖变化之间的关系。使用CleveLabs BioCapture无线设备从160公斤,59.6岁的1型糖尿病女性志愿者中获取ECG信号。使用PhysioToolkit软件提取HRV信号,并使用Kubios软件包执行全面的HRV信号分析。该软件具有易于使用的图形用户界面,可显示HRV信号,并提供三个选项进行计算:原始HRV信号的时域,频域和非线性动力学参数。在其频域分析部分中,它提供了VLF(Hz),LF(Hz)和HF(Hz)等频段,其中LF / HF作为反映ANS交感神经平衡的指标。在正常血糖状态下30分钟采集ECG数据,在轻度高血糖状态下30分钟采集ECG数据,而受试者则每5分钟使用血糖仪手动测量血糖水平。然后,对5分钟持续时间的ECG信号段进行处理,以提取HRV信号,然后依次对这些信号进行分析以提供频域测量。结果表明,血糖变化与LF / HF呈负相关。对于此数据集,观察到当血糖水平从156-±22 mg / dl增加到202±29 mg / dl时,LF / HF的平均值±std从6.0±1.04降低至0.91±0.17。正在进行进一步的研究以招募更多的糖尿病受试者以获取大数据集,并全面探索不同HRV信号参数与不同血糖情况下血糖变化之间的关系。

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