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ecg signals
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  心电信号
     The System for Acquiring and Processing ECG Signals Based on P89LPC938
     基于P89LPC938的心电信号采集及处理系统
短句来源
     Methods The ECG signals were recorded in 33 subjects when vestibular stimuli of 0.6°、0.8°、1.0°、1.2°/s 2 trapezoid angular acceleration were given with preliminary 10°/s rotation in Barany chair for 150 s.
     方法  33名健康受试者在 15 0s、10°/s匀速旋转后 ,分别进行 0 6°/s2 、0 8°/s2 、1 0°/s2 和 1 2°/s2 梯形旋转刺激 ,旋转的同时完成听觉认知任务并记录心电信号
短句来源
     This paper describes the design of an ECG OEM module based on W78LE54 single chip. The module samples standard I,II and III lead ECG signals in 200Hz rate.
     用单片机W78LE54设计的心电OEM模块,以200Hz速率采集人体标准I、II、III导联心电信号
短句来源
     The Elimination of 50 Hz Noise from ECG Signals
     心电信号中50Hz干扰的消除
短句来源
     Design of Real-time ECG Signals Processing System Based on FPGA
     基于FPGA的实时心电信号处理系统设计
短句来源
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  ecg信号
     Using EPP to Sample ECG Signals Based on Windows95 Operation System
     Windows95下基于EPP的ECG信号采集系统(上)
短句来源
     Using EPP to Sample ECG Signals Based on Windows95 Operation System
     Windows95下基于EPP的ECG信号采集系统(下)
短句来源
     Wavelet Transform and Data Fusion based Algorithm for Precision Detection of QRS Complex in Multilead ECG Signals
     基于小波变换和数据融合的多导联ECG信号QRS波群精确检测算法
短句来源
     A Primary Investigation on the Dynamic Changes of Correlation Dimension of Animal's ECG Signals
     动物ECG信号关联维数动态变化的初步研究
短句来源
     Modified nonlinear adaptive polynomial filter for ECG signals noise reduction
     改进的非线性自适应滤波器用于ECG信号去噪
短句来源
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  心电图信号
     Frequency-domain Analysis of ECG Signals
     心电图信号的频域分析
短句来源
     Denoising Algorithm for ECG Signals Based on Multi-Resolution Analysis
     基于多分辨率分析的心电图信号去噪算法
短句来源
     NONLINEAR DYNAMIC CHARACTERISTICS OF SYNCHRONOUS 12-LEAD ECG SIGNALS
     同步十二导联常规心电图信号的非线性动力学特性分析
短句来源
     Modified IESA lead connection was adopted to obtain orthogonal ECG signals and to achieve DOWER matrix equation by a software which was transformed to 12 lead synchronism ECG.
     采用改良的IESA导联连接方式获取正交心电图信号 ,利用软件实现DOWER矩阵方程换算 1 2导联同步心电图。
短句来源
     Nonlinear Dynamical Characterstics of ECG Signals of CHD Patients
     冠心病人心电图信号的非线性动力学特性(英文)
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  “ecg signals”译为未确定词的双语例句
     After experiment, the minimum identification exactness of AF ECG signals is 97.7%, the maximum is 100%, the average is 99.5%, the minimum of normal ECG signals is 99.7%, the maximum is 100%, the average is 99.9%.
     经试验,房颤心电图R波检测的正确率最低为97.7%,最高为100%,平均为99.5%,正常心电图正确率最低为99.7%,最高为100%,平均为99.9%。
短句来源
     Algorithm of P Wave Detection in 12-Lead ECG Signals
     12导联心电图P波检测算法
短句来源
     Multifractal Distribution of Synchronous 12 lead ECG Signals
     同步12导联ECG的多重分形分布
短句来源
     Result The numerical results showed that the detection rates of this method could reach 99.9% when it was applied to detect ECG signals from MIT/BIH standard database.
     结果经MIT/BIH标准心电数据库检测验证 ,QRS波正确检测率达到 99.9%。
短句来源
     An Algorithm Study on Telecardiogram Diagnosis Based on Multivariate Autoregressive Model and Two-lead ECG Signals.
     基于双导联ECG和多变量回归模型的远程心电诊断算法研究
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  ecg signals
It is proposed to use adaptive processing of ECG signals, which allows one to increase the signal-to-interference ratio by over 7 dB.
      
We show that using the three best known matrices for synthesis of ECG signals and their diagnostic interpretation in terms of the Minnesota code unfortunately cannot be considered valid.
      
Preservation of diagnostic information in synthesis of ECG signals for a standard lead system from signals measured by an orthog
      
Preservation of diagnostic information in synthesis of ecg signals for one lead system from signals measured in another lead sys
      
After coronary ligation, ventricular arrhythmias were evaluated from stored ECG signals.
      
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In the recognition problem of time series signals such as seismic,acoustic,andEEG,ECG signal,it is necessary to extract features from time series.In this pa-per,a new method for feature extraction of time series is proposed,which decom-poses time series into two parts and extracts features respectively.Its implementation is by AR model and Wiener filter,AR coefficients and Wiener filter coefficientsare combined into feature vector.As an example of application,this method is usedto extract features...

In the recognition problem of time series signals such as seismic,acoustic,andEEG,ECG signal,it is necessary to extract features from time series.In this pa-per,a new method for feature extraction of time series is proposed,which decom-poses time series into two parts and extracts features respectively.Its implementation is by AR model and Wiener filter,AR coefficients and Wiener filter coefficientsare combined into feature vector.As an example of application,this method is usedto extract features from seismic signal,in order to recognize sedimentary sequenceand then help the inference of sedimentary faces.The computer experimental resultshave shown that the method is quite effective.

在地震、语音、心电等时间序列信号的识别问题中,常需对时间序列进行特征抽取。本文提出一种时间序列特征抽取的新方法,它将时间序列分解为两部分,分别抽取特征。具体实现是用 AR 系数与维纳滤波器系数结合起来形成特征向量。此法可用于地震信号的特征抽取,识别沉积序列,帮助推断沉积相。计算机实验结果表明,方法是很有效的。

A microcomputer processing system with Intel 8086 CPU has been descri bed in this paper. The system may be reliably used in the measurement of the body surface potential map. It has 64 analogue input channels for detecting electrocardiography (ECG) signals at various points on the chest surface. After being amplified and A/D Converted, the data must be transferred to the microcomputer system for processing with the help of the interpolation method. The ECG at any point and the body surface...

A microcomputer processing system with Intel 8086 CPU has been descri bed in this paper. The system may be reliably used in the measurement of the body surface potential map. It has 64 analogue input channels for detecting electrocardiography (ECG) signals at various points on the chest surface. After being amplified and A/D Converted, the data must be transferred to the microcomputer system for processing with the help of the interpolation method. The ECG at any point and the body surface potential map in any moment can be displayed on the monitor screen. The paper, in its last part, also presents the results of the body surface potential map obtained from two healthy persons.

本文叙述了一台以Intel 8086CPU为核心的微机处理系统,用以测量体表电位图。该系统具有64个模拟输入通道,采集人体胸廓表面的各点心电信号,经放大、A/D转换后送入微机系统,用插值法计算并在监示器上显示任意点的心电图和任一时刻的体表电位图。文末给出两名正常人的心电体表电位图。

A microcomputer processing system with Intel 8086 CPU has been descri bed in this paper. The system may be reliably used in the measurement of the body surface potential map. It has 64 analogue input channels for detecting electrocardiography (ECG) signals at various points on the chest surface. After being amplified and A/D Converted, the data must be transferred to the microcomputer system for processing with the help of the interpolation method. The ECG at any point and the body surface...

A microcomputer processing system with Intel 8086 CPU has been descri bed in this paper. The system may be reliably used in the measurement of the body surface potential map. It has 64 analogue input channels for detecting electrocardiography (ECG) signals at various points on the chest surface. After being amplified and A/D Converted, the data must be transferred to the microcomputer system for processing with the help of the interpolation method. The ECG at any point and the body surface potential map in any moment can be displayed on the monitor screen. The paper, in its last part, also presents the results of the body surface potential map obtained from two healthy persons.

本文叙述了一台以Intel 8086CPU为核心的微机处理系统,用以测量体表电位图。该系统具有64个模拟输入通道,采集人体胸廓表面的各点心电信号,经放大、A/D特换后送入微机系统,用插值法计算并在监示器上显示任意点的心电图和任一时刻約体表电位图。文末给出两名正常人的心电体表电位图。

 
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