采用PIC的低成本、低功耗QRS检测模块

Praveen Kumar, Monika Jain, Sagar Chandra
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引用次数: 4

摘要

提出了一种高效、低成本、低功耗的心电分析QRS复合体检测模块。过去对QRS检测算法进行了大量的研究。所有这些方法大多依赖于对QRS复合物形状和心电图一般方面的先验知识。大多数方法需要更多的CPU时间,涉及复杂的数学,难以实现低成本,低功耗的起搏器设计。此外,基线偏移、电力线干扰、肌肉噪声等伪影对QRS的准确检测构成了进一步的瓶颈。本文详细分析了实时起搏器应用的各种方法及其制约因素。一种简单的、具有成本竞争力的智能设计也被提出。我们的解决方案具有非常低的功耗要求,在不影响定时精度和可靠性的情况下实现高QRS检测性能。为了提高QRS检测的可靠性,通过结合a /D转换和过零检测巧妙地实现优化的预滤波来衰减各种噪声成分。本文提出的完整系统是围绕PIC单片机、数据采集模块和显示单元进行设计的。拟议的设计已经过从医院收集的大量数据的测试。实验结果证实了所提出的设计方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low Cost, Low Power QRS Detection Module Using PIC
This paper presents an efficient, low cost, low power QRS complexes detection module for ECG analysis. In past lot of research on algorithms for QRS detection has been carried out. All such methods mostly rely on a priori knowledge of the shape of the QRS complexes and general aspects of the ECG. Most of approaches require more CPU time and involve complex mathematics which is difficult to implement for low cost, low power pacemaker design. Moreover, baseline shift, power line interference, muscle noise and other artifacts poses further bottleneck for accurate QRS detection. Detailed analysis of various approaches and their constraints for real time pacemaker application has been done in this paper. A simple, cost competitive smart design has also been proposed. Our solution has very low power requirement and achieves high QRS detection performance without compromising timing accuracy and reliability. To achieve improved QRS detection reliability, various noise components have been attenuated by clever implementation of optimized prefiltering in conjunction with a A/D conversion and Zero-crossing detection. Complete system proposed in this paper has been designed around a PIC microcontroller, Data Acquisition module and a display unit. Proposed design has been tested for extensive data collected from hospitals. Result achieved confirms the design approach illustrated.
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