Suppr超能文献

基于折叠式十一进制的高效面积 ECG 检测器。

Area efficient folded undecimator based ECG detector.

机构信息

PSG College of Technology, Coimbatore, Tamil Nadu, India.

出版信息

Sci Rep. 2021 Feb 12;11(1):3756. doi: 10.1038/s41598-021-82231-2.

Abstract

This paper presents an area-efficient folded wavelet filter-based Electrocardiogram (ECG) detector for cardiac pacemakers. The modified folded undecimator based detector consists of Wavelet Filter Bank, QRS complex detector with Generalized Likelihood Ratio Test (GLRT) block and noise detector. A high-level transformation technique such as folding transformation and Cutset retiming are applied to the GLRT block in order to reduce the silicon area. Folding is a high-level transformation applied at the architectural level to enhance the performance of DSP architectures. It reduces the number of adders, multipliers and delay elements in the architecture. The Cutset retiming reduces clock period of the architecture by changing position of delay elements in the critical path. The folding transformation and cutset retiming implement the functional blocks of the GLRT circuit with minimum hardware. The modified folded ECG detector is tested for short term and long-term MIT-BIH databases. The results show that the modified folded undecimator detector has hardware savings and achieves sensitivity of 99.95%, positive prediction of 99.97% and Detection Error Rate (DER) of 0.061. The folded GLRT block architecture is synthesized with FPGA Zed board XC7Z010CLG484-1. Results show that the device utilization and power consumption are lesser than the conventional GLRT structure.

摘要

本文提出了一种基于折叠小波滤波器的心脏起搏器心电(ECG)检测器,用于心脏起搏器。该基于折叠式十一进制分解器的改进型检测器由小波滤波器组、基于广义似然比检验(GLRT)的 QRS 复合检测器和噪声检测器组成。为了减少硅片面积,在 GLRT 块中应用了高级变换技术,如折叠变换和 Cutset 重定时。折叠是一种在体系结构级别应用的高级变换,用于提高 DSP 体系结构的性能。它减少了体系结构中的加法器、乘法器和延迟元件的数量。Cutset 重定时通过改变关键路径中延迟元件的位置来减少体系结构的时钟周期。折叠变换和 Cutset 重定时使用最小的硬件实现 GLRT 电路的功能块。对修改后的折叠式 ECG 检测器进行了短期和长期 MIT-BIH 数据库测试。结果表明,改进后的折叠式十一进制分解器检测器具有硬件节省功能,可实现 99.95%的灵敏度、99.97%的阳性预测率和 0.061 的检测错误率(DER)。折叠式 GLRT 块体系结构已使用 FPGA Zed 板 XC7Z010CLG484-1 进行综合。结果表明,该设备的利用率和功耗均低于传统的 GLRT 结构。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db85/7881094/5f219fed2759/41598_2021_82231_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验