• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

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

An enhanced method for real-time modelling of cardiac related biosignals using Gaussian mixtures.

作者信息

Alqudah Ali Mohammad

机构信息

a Department of Biomedical Systems and Informatics Engineering , Yarmouk University , Irbid , Jordan.

出版信息

J Med Eng Technol. 2017 Nov;41(8):600-611. doi: 10.1080/03091902.2017.1382587. Epub 2017 Oct 6.

DOI:10.1080/03091902.2017.1382587
PMID:28982273
Abstract

Cardiac related biosignals modelling is very important for detecting, classification, compression and transmission of such health-related signals. This paper introduces a new, fast and accurate method for modelling the cardiac related biosignals (ECG and PPG) based on a mixture of Gaussian waves. For any signal, at first, the start and end of the ECG beat or PPG pulse is detected, then the baseline is detected then subtracted from the original signal, after that the signal is divided into two signals positive and negative, each modelled separately then incorporated together to form the modelled signal. The proposed method is applied in the MIMIC, and MIT-BIH Arrhythmia databases available online at PhysioNet.

摘要

相似文献

1
An enhanced method for real-time modelling of cardiac related biosignals using Gaussian mixtures.
J Med Eng Technol. 2017 Nov;41(8):600-611. doi: 10.1080/03091902.2017.1382587. Epub 2017 Oct 6.
2
Heart beat detection using a multimodal data coupling method.使用多模态数据耦合方法进行心跳检测。
Physiol Meas. 2015 Aug;36(8):1729-42. doi: 10.1088/0967-3334/36/8/1729. Epub 2015 Jul 28.
3
Robust detection of heart beats in multimodal records using slope- and peak-sensitive band-pass filters.使用斜率和峰值敏感带通滤波器对多模态记录中的心跳进行稳健检测。
Physiol Meas. 2015 Aug;36(8):1645-64. doi: 10.1088/0967-3334/36/8/1645. Epub 2015 Jul 28.
4
Developing of robust and high accurate ECG beat classification by combining Gaussian mixtures and wavelets features.通过结合高斯混合模型和小波特征来开发强大且高精度的心电图搏动分类方法。
Australas Phys Eng Sci Med. 2019 Mar;42(1):149-157. doi: 10.1007/s13246-019-00722-z. Epub 2019 Jan 14.
5
Support vector machine-based arrhythmia classification using reduced features of heart rate variability signal.基于支持向量机的心律失常分类,使用心率变异性信号的降维特征
Artif Intell Med. 2008 Sep;44(1):51-64. doi: 10.1016/j.artmed.2008.04.007. Epub 2008 Jun 27.
6
The morphological classification of heartbeats as dominant and non-dominant in ECG signals.心电图信号中主导心搏和非主导心搏的形态分类。
Physiol Meas. 2010 May;31(5):611-31. doi: 10.1088/0967-3334/31/5/002. Epub 2010 Mar 22.
7
Optimizing Estimates of Instantaneous Heart Rate from Pulse Wave Signals with the Synchrosqueezing Transform.使用同步挤压变换优化从脉搏波信号中估计瞬时心率
Methods Inf Med. 2016 Oct 17;55(5):463-472. doi: 10.3414/ME16-01-0026. Epub 2016 Sep 14.
8
Arrhythmia detection in single-lead ECG by combining beat and rhythm-level information.通过结合心搏和节律水平信息进行单导联心电图中的心律失常检测。
Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:3236-9. doi: 10.1109/EMBC.2014.6944312.
9
Feature extraction for ECG heartbeats using higher order statistics of WPD coefficients.基于 WPD 系数的高阶统计量的心电信号特征提取。
Comput Methods Programs Biomed. 2012 Mar;105(3):257-67. doi: 10.1016/j.cmpb.2011.10.002. Epub 2011 Nov 3.
10
FPGA Implementation of Heart Rate Monitoring System.心率监测系统的现场可编程门阵列实现
J Med Syst. 2016 Mar;40(3):49. doi: 10.1007/s10916-015-0410-4. Epub 2015 Dec 7.

引用本文的文献

1
An Enhanced Hybrid Model Combining CNN, BiLSTM, and Attention Mechanism for ECG Segment Classification.一种结合卷积神经网络(CNN)、双向长短期记忆网络(BiLSTM)和注意力机制的增强混合模型用于心电图段分类
Biomed Eng Comput Biol. 2025 Jun 17;16:11795972251341051. doi: 10.1177/11795972251341051. eCollection 2025.
2
[Study on a quantitative analysis method for pulse signal by modelling its waveform in time and space domain].基于时空域波形建模的脉搏信号定量分析方法研究
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2020 Feb 25;37(1):61-70. doi: 10.7507/1001-5515.201904024.