先进的心电处理器与HRV分析实时便携式健康监测

2011 IEEE International Conference on Consumer Electronics -Berlin (ICCE-Berlin) Pub Date : 2011-09-29 DOI:10.1109/ICCE-BERLIN.2011.6031850

Chia-Ching Chou, Shao-Yen Tseng, E. Chua, Yaw-Chern Lee, W. Fang, Hsiang-Cheh Huang

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引用次数: 26

摘要

本文设计了一种便携式心电处理器，用于健康监测。心电处理器通过前端电路获取三通道心电原始数据，并测量导联II上连续心跳间隔时间作为心率变异性(HRV)分析的RR间隔。r -峰值检测、RR区间计算、滑动记忆窗方案和HRV时频分析等功能也已开发。采用Lomb周期图对心率进行时频功率谱密度(PSD)分析，实现了实时HRV分析处理器。Lomb时频分布(TFD)适合于非均匀间隔数据集的PSD的推导。该系统已在硬件上实现，并在FPGA上进行了验证。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Advanced ECG processor with HRV analysis for real-time portable health monitoring

In this paper, a portable ECG processor designed for health monitoring applications is proposed. The ECG processor acquires three-channel ECG raw data through a front-end circuit, and measures the time between successive heart beats on lead II as RR intervals for heart rate variability (HRV) analysis. Functions such as R-peak detection, RR interval calculation, sliding memory window scheme, and time-frequency analysis of HRV have also been developed. A real-time HRV analysis processor is realized by employing a Lomb periodogram for time-frequency power spectral density (PSD) analysis of the heart rate. The Lomb time-frequency distribution (TFD) is suited for deriving the PSD of unevenly spaced data sets. The system has been implemented in hardware and verified on FPGA.

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来源期刊

2011 IEEE International Conference on Consumer Electronics -Berlin (ICCE-Berlin)

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