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Description: 去除在心电信号采集过程中混入的肌电干扰
、工频干扰、基线漂移等噪声信号,避免噪声对心电信号特征点的识别和提取造成误判漏判。-Removal of mind into the process of signal acquisition of the EMG interference, frequency interference, baseline drift and other noise signals, to avoid noise on the ECG characteristic points of identification and extraction of causing miscarriage of justice??.
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Size: 267264 |
Author: jingjing |
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Description: 关于脑电信号中机械噪声，工频噪声，以及基线漂移的处理，以及提取脑电信号中的特质点，应用matlab中的小波变换来进行消噪找特征点-On the EEG machine noise, frequency noise, and baseline drift of the processing, as well as the characteristics of EEG in point, application of wavelet transform in matlab to find feature points for Denoising
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Size: 18432 |
Author: lili |
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Description: 在心电信号的采集过程中，会引入各种干扰噪声，如基线漂移。为了得到不失真的心电信号，在诊断分析前要对信号进行预处理---数字滤波。
FIR滤波器容易实现线性相位。对于相位要求严格的场合，要求用FIR滤波器实现滤波，实验要求用用FIR高通滤波器法去除其中基线漂移。
-ECG acquisition process, will introduce all kinds of interference noise, such as baseline drift. In order to get undistorted ECG in the diagnosis of pre-process the signal before--- digital filter. Linear phase FIR filter is easy to implement. For the phase-critical occasions, asked to use FIR Filter filter, test requirements with a high-pass filter with the FIR in which baseline drift removal.
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Size: 171008 |
Author: yujing |
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Description: Accurate measurement of ECG template parameters
is an important requirement of quantitative ECG analysis,
particularly if the results of ECG signal analysis are to be used
for clinical purposes. However, the accuracy with which these
parameters can be measured depends mainly on the accuracy of
the analysis algorithm. This paper presents a new method for the
accurate estimation of ECG Parameters, contaminated by
instrumentation and biological noise, this method is based on
three processes. First step is removing baseline drift (lowfrequency
components) using DWT transformation techniques.
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Size: 3078144 |
Author: sujith |
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Description: 心电信号分析
（1）设计滤波器，实现对心电信号的噪声抑制和基线纠漂。
（2）时域分析：R波检测算法与实现.
（3）功率谱分析：对消噪后的信号进行功率谱分析。要求计算信号的功率谱，功率谱峰值，峰值频率。
-ECG Analysis (1) design filters to achieve noise suppression of ECG and baseline drift correction. (2) time-domain analysis: R-wave detection algorithm and implementation (3) The power spectrum analysis: noise cancellation signal after the power spectrum analysis. Require calculation of the signal power spectrum, peak power spectrum, peak frequency.
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Size: 2048 |
Author: 胡广恒 |
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Description: 脉搏信号分析
（1）设计滤波器，实现对脉搏信号的噪声抑制和基线纠漂；
（2）时域分析：波形特征检测；
（3）功率谱分析：对消噪后的信号进行功率谱分析。要求计算信号的功率谱，功率谱峰值，峰值频率。
-Pulse signal analysis (1) design the filter, to achieve the pulse signal noise suppression and baseline drift correction (2) time-domain analysis: waveform feature detection (3) power spectral analysis: noise cancellation signal after the power spectrum analysis . Require calculation of the signal power spectrum, peak power spectrum, peak frequency.
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Size: 6144 |
Author: 胡广恒 |
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Description: 脉象波形,心电图等一维信号的基线漂移调整程序.可以有效去除基线的漂移噪声-Pulse waveform, such as one-dimensional ECG signal baseline drift adjustment procedure can be effective to remove baseline drift noise
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Size: 6144 |
Author: wangdi |
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Description: 基于小波变换的ECG信号去噪系统设计,在信号采集时，身体的任一微小运动都会产生“基线漂移”，这是一种低频干扰，同时，由于肌电的存在又产生了高频的肌电噪声，由于空间电磁场的存在又使心电信号中混有50Hz的工频干扰。这些噪声不去除，就会影响下一步的信号处理。
综合运用数字信号处理的理论知识进行生物医学信号增强系统设计，实现ECG信号的去噪，从而加深对小波变换及其应用的理解，建立概念多分辨分析的概念，加深理解信号增强的原理、方法和步骤。本设计的主要内容是设计一个基于小波变换的ECG信号去噪系统，实现ECG信号的去噪。
-ECG signal denoising based on wavelet transform system design, signal acquisition, any small movement of the body will have a " baseline drift" , which is a low-frequency interference, while the high frequency due to the existence of the EMG muscle electrical noise due to the presence of electromagnetic field and the ECG signal mixed with a 50Hz power frequency interference. The noise is not removed, it will affect the next step in the signal processing. Use the theoretical knowledge of digital signal processing for biomedical signal enhancement system design to achieve the de-noising of ECG signal, so as to deepen understanding of the wavelet transform and its applications, to establish the concept of multi-resolution analysis of the concept, deepen the understanding of signal enhancement of the principle, the method and steps. The main elements of this design is the design of an ECG signal denoising based on wavelet transform denoising the ECG signals.
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Size: 1024 |
Author: yangliu |
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Description: 去除在心电信号采集过程中混入的肌电干扰、工频干扰、基线漂移等噪声信信号，避免噪声对心电信号特征点的识别与提取造成误判漏判 已通过测试。
-Remove the EMG interference mixed with the signal acquisition process in mind, frequency interference, baseline drift and noise channel signal to avoid noise caused by the misjudgment of the Missing has been tested on ECG feature identification and extraction.
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Size: 268288 |
Author: noahkk |
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Description: 提出一种利用小波包变换逼近信号消除心电图ECG基线漂移噪声的方法。该方法的基本思想是：通过对
ECG信号进行多分辨率分析，利用所得到的一段或几段逼近信号充分逼近ECG信号中的基线漂移噪声的特性，从而
消除某线漂移分景。-Presents a wavelet packet transform approximation signal method to eliminate electrocardiogram ECG baseline drift noise. The basic idea of the method is to use a few paragraphs approximation signal approaching full baseline wander in the ECG signal to noise characteristics, eliminating a line drift points King: multi-resolution analysis of the ECG signal.
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Size: 236544 |
Author: 房贷 |
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Description: Abstract— with the latest advancements in electronics,
several techniques are used for removal of unwanted entities
from signals especially that are implied in the most
sophisticated applications. The removal of power line
interference from most sensitive medical monitoring
equipments can also be removed by implementing various
useful techniques. The power line interference (50/60 Hz) is
the main source of noise in most of bio-electric signals. The
report presents the removal of power line interference,
baseline wandering and additive white Gaussian noise
(AWGN) from ECG signal using the different types of
filtering technique. The project is based on digital signal
processing (DSP) techniques with MATLAB package, the
IIR Notch filter can be used for removal of power line
interference, Median can be used for Baseline wandering
noise and Discrete Wavelet Transform can be used for
removal of AWGN.
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Size: 654336 |
Author: muthupandy |
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Description: 心电信号处理，包括基线滤除，滤波，加躁，产生ECG信号以及示范样例-ECG processing, baseline removal , filtering, noise generator, ECG generator, and samples
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Size: 2331648 |
Author: 杜杜 |
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Description: 心电信号去噪，主要针对的是基线漂移噪声,肌电噪声和工频干扰 -Is mainly targeted at the baseline wander and power line interference, noise
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Size: 1024 |
Author: 小陈 |
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Description: 通过小波变换实现抑制肌电噪声和纠正基线漂移- To make EMG noise suppress and correct baseline drift by wavelet transform
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Size: 7168 |
Author: gaozhenyu |
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Description: The BEADS toolbox jointly addresses the problem of simulateous baseline correction and noise reduction, for positive and sparse signals arising in analytical chemistry (Raman, infrared, XRD, etc.), here applied to gas chromatography signals. The baseline is similar to slow-varying trends, intrumental drifts or background offset. The proposed baseline filtering algorithm is based on modeling the series of chromatogram peaks as mostly positive, sparse with sparse derivatives, and on modeling the baseline as a low-pass signal. A convex optimization problemis formulated so as to encapsulate these non-parametric models. To account for the positivity of chromatogram peaks, an asymmetric penalty function, similar to a regularized l1 norm is utilized. A robust, computationally efficient, iterative algorithm is developed that is guaranteed to converge to the unique optimal solution.
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Size: 335872 |
Author: A.BHJI |
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Description: 去除基线平移噪声干扰，各种滤波法都很适合，较好适用，帮助初学者更好的学习。-Remove the baseline noise interference, all kinds of filtering method is very suitable for better application, to help beginners better learning.
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Size: 40960 |
Author: 赫赫 |
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Description: 去除_基线漂移去除基线平移噪声干扰，各种滤波法都很适合，较好适用，帮助初学者更好的学习。-Remove the baseline noise interference, all kinds of filtering method is very suitable for better application, to help beginners better learning.
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Size: 40960 |
Author: 赫赫 |
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Description: 煤田火区地表形态变化是煤火监测和分析的可用指标之一’由于矿区地表严重的去相干噪声，使得星载合
成孔径雷达干涉测量技术应用于煤田火区地表形变检测比较困难’结合煤田火区地表形变特点，利用 4 波段的
-45( -4(-! 数据进行差分干涉处理，利用干涉条纹频率精确估计基线，并用自适应滤波方法降低去相干噪声的
影响’在去除平地相位和参考地形相位后，获取煤田火区的地表形变’研究表明: 地表形变与煤火燃烧具有一定
的相关关系，通过地表形变分析有助于对地下煤火燃烧情况的判断 利用差分干涉 (-! 技术检测煤田火区地表形
变，进而对煤火进行监测和分析是可行的’
-Coal fire area surface morphology change is one of the available indicators of coal fire monitoring and analysis of due to the mining area surface serious to coherent noise, the spaceborne
Into aperture radar interferometry technique is applied to coal fire area of surface deformation detection more difficult combining with the characteristics of surface deformation in coal fire area, use 4 band
- 45 ( - 4-! Differential interference in the data processing, the baseline is estimated based on the interference fringe frequency precision, using adaptive filtering method to reduce to the coherent noise
Reference terrain effects in removing the ground phase and phase, for coal fire area surface deformation research shows that: the surface deformation and coal fire burning has certain
The correlation between, through the analysis of the surface deformation helps burning of underground coal fire situation judgment Using differential interference (-! Technology to detect coal fire area
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Size: 613376 |
Author: 桂小刚 |
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Description: 一种滤波器，可以实现信号的基本基线漂移、去噪和滤波等功能，主要是基于matlab来实现的，仅供大家参考-A filter, can realize the basic signal baseline drift, noise and filtering, and other functions, is primarily based on matlab to realize, only for your reference
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Size: 1024 |
Author: wei |
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Description: This paper gives an insight to labview software tools which helps in analysis of ECG signals. The raw ECG data are taken MIT-BIH Arrhythmia . Study of ECG signal includes filtering & preprocessing which removes the baseline wandering and noise due to breathing through wavelet transform technique. ECG features extraction VI will use for extracting various features viz P onset, P offset, QRS onset , QRS offset, T onset, T offset, R , P & T wave, with which we can calculate various parameters like Heart rate, QRS amplitude and their time duration.-This paper gives an insight to labview software tools which helps in analysis of ECG signals. The raw ECG data are taken MIT-BIH Arrhythmia . Study of ECG signal includes filtering & preprocessing which removes the baseline wandering and noise due to breathing through wavelet transform technique. ECG features extraction VI will use for extracting various features viz P onset, P offset, QRS onset , QRS offset, T onset, T offset, R , P & T wave, with which we can calculate various parameters like Heart rate, QRS amplitude and their time duration.
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Size: 388096 |
Author: aykut |
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