Description: Electrocardiography (ECG or EKG) is the recording of the electrical activity of the heart over time via skin electrodes. This program make a EKG signal. Platform: |
Size: 3072 |
Author:ask |
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Description: REMOVAL OF NOISE FROM ECG (ELECTROCARDIOGRAPHY) BY USING MATLAB.
EEG (Electroencephalograph) recording from the scalp has biological artifacts and external artifacts. Biological artifacts, which are generated, can be EMG (Electromyography) signal, EOG (Electrooculograph) signal or ECG (Electrocardiograph) signal. These artifacts appear as noise in the recorded EEG signal individually or in a combined manner. Usually physicians are misled by these noisy signals and the EEG analysis can go wrong. This paper presents noise cancellation i.e. removal of noise signal which can be either EMG, ECG or a combination of these two artifacts from the corrupted EEG signal and also signal enhancement both using recurrent learning technique. For this purpose, we have implemented the RTRL (Real Time Recurrent Learning) algorithm,
-REMOVAL OF NOISE FROM ECG (ELECTROCARDIOGRAPHY) BY USING MATLAB.
EEG (Electroencephalograph) recording from the scalp has biological artifacts and external artifacts. Biological artifacts, which are generated, can be EMG (Electromyography) signal, EOG (Electrooculograph) signal or ECG (Electrocardiograph) signal. These artifacts appear as noise in the recorded EEG signal individually or in a combined manner. Usually physicians are misled by these noisy signals and the EEG analysis can go wrong. This paper presents noise cancellation i.e. removal of noise signal which can be either EMG, ECG or a combination of these two artifacts from the corrupted EEG signal and also signal enhancement both using recurrent learning technique. For this purpose, we have implemented the RTRL (Real Time Recurrent Learning) algorithm,
Platform: |
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Author:azharuddin |
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Description: Digital_Signal_Processing_Fundamentals_and_Applications
This book introduces concepts of digital signal processing (DSP) and reviews an overall picture of its applications. Illustrative application examples include digital noise filtering, signal frequency analysis, speech and audio compression, biomedical signal processing such as interference cancellation in electrocardiography,compact-disc recording, and image enhancement. Platform: |
Size: 6546432 |
Author:Huynh Ngoc Tu |
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Description: 心电图是一种经胸腔的以时间为单位记录心脏的电生理活动，并通过皮肤上的电极捕捉并记录下来的诊疗技术，能警示人体心脏健康状况。我们对十种不同心脏状况的心电图（ECG）数据进行实验，在对原始数据进行了一系列预处理后，利用PCA和ICA进行特征提取降维得到新的特征空间，并利用支持向量机进行训练，最后对未分类心电数据进行分类标记并评价其性能。-Electrocardiography (ECG) is a transthoracic interpretation of the electrical activity of the heart over a period of time, which can reflect the physical condition of a heart. We carry a series of experiments based on ten sets of different ECG data. First, we pre-process the raw data with data processing technology, and then we use the feature extraction technology of PCA and ICA to get a new feature space. At last we use support vector machine to train a model which can and finally predict and classify the unlabeled ECG data. We validate and optimize the model by evaluating its performance when training it. Platform: |
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Author:Kevin Lee |
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Description: Rapid progression of wireless engineering systems, a special domain of sensor network which supports medical diligences is the development of Autonomous Wireless Body Area Network. In this type of environment such as monitoring the health condition of senior citizens .The sensed signal can monitor several types of measurements such as Electroencephalography (EEG), Electrocardiography (ECG), Electromyography (EMG), Skin temperature, Skin conductance or Electrooculography (EOG) etc., compares with the standard level and the information is passed to the care takers or hospital for further necessary actions using a hybrid network of cryptography nowadays are crucial. The privacy information is vital and they have to be safe guarded from several aggressors. We propose a method of crypt analyst method using a cluster pattern of key mechanism provides assure, efficient and improved way to increase the lifetime of the network.-Rapid progression of wireless engineering systems, a special domain of sensor network which supports medical diligences is the development of Autonomous Wireless Body Area Network. In this type of environment such as monitoring the health condition of senior citizens .The sensed signal can monitor several types of measurements such as Electroencephalography (EEG), Electrocardiography (ECG), Electromyography (EMG), Skin temperature, Skin conductance or Electrooculography (EOG) etc., compares with the standard level and the information is passed to the care takers or hospital for further necessary actions using a hybrid network of cryptography nowadays are crucial. The privacy information is vital and they have to be safe guarded from several aggressors. We propose a method of crypt analyst method using a cluster pattern of key mechanism provides assure, efficient and improved way to increase the lifetime of the network. Platform: |
Size: 267264 |
Author:Opencvresearcher |
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Description: It is
motivated by the increasing awareness of Cardiac arrhythmias
and coronary heart disease due to population ageing and
stressful modern life. If proper medical care can be given to
the patients at the right time their lives can be saved, for that
we need is a system that continuously monitors ones ECG
signal, so this system is develop. This system can be used by
patient for self-diagnosis, and remote-diagnosis for chronic
heart disease patients before sudden outbreaks. This system
will continuously monitor the ECG signal the body and if
any deviation is found will generate an alert. This system is
mainly useful for patient living alone and has disability. The
System will measure the ECG (EKG) signal using three lead
electrocardiography and transmit these signals to Smartphone
via Bluetooth for processing and generating proper alert. -It is
motivated by the increasing awareness of Cardiac arrhythmias
and coronary heart disease due to population ageing and
stressful modern life. If proper medical care can be given to
the patients at the right time their lives can be saved, for that
we need is a system that continuously monitors ones ECG
signal, so this system is develop. This system can be used by
patient for self-diagnosis, and remote-diagnosis for chronic
heart disease patients before sudden outbreaks. This system
will continuously monitor the ECG signal the body and if
any deviation is found will generate an alert. This system is
mainly useful for patient living alone and has disability. The
System will measure the ECG (EKG) signal using three lead
electrocardiography and transmit these signals to Smartphone
via Bluetooth for processing and generating proper alert. Platform: |
Size: 5097472 |
Author:joe33 |
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Description: occurrence of sudden unexpected death in epilepsy
(SUDEP) is usually related to nocturnal, unmonitored seizures [1]. The
vast majority of seizures are associated with a heart rate increase [2],
which can, in turn, be used for seizure detection [3].
In a clinical setting, heart rate ismainly obtained through automatic
analysis of an electrocardiography (ECG) signal measured with at least
two electrodes attached to the skin. This is uncomfortable and can
lead to skin irritation. Electrocardiography signals also tend to become
noisy when patients move, which is often the case during seizures.
The fitness industry faces a similar problem heart rate needs-occurrence of sudden unexpected death in epilepsy
(SUDEP) is usually related to nocturnal, unmonitored seizures [1]. The
vast majority of seizures are associated with a heart rate increase [2],
which can, in turn, be used for seizure detection [3].
In a clinical setting, heart rate ismainly obtained through automatic
analysis of an electrocardiography (ECG) signal measured with at least
two electrodes attached to the skin. This is uncomfortable and can
lead to skin irritation. Electrocardiography signals also tend to become
noisy when patients move, which is often the case during seizures.
The fitness industry faces a similar problem heart rate needs Platform: |
Size: 434176 |
Author:senthil |
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Description: Electrocardiography (ECG or EKG[a]) is the process of recording the electrical activity of the heart over a period of time using electrodes placed on the skin. These electrodes detect the tiny electrical changes on the skin that arise from the heart muscle's electrophysiologic pattern of depolarizing and repolarizing during each heartbeat. It is a very commonly performed cardiology test.(ECG code for comresion) Platform: |
Size: 14336 |
Author:vahditabrizi |
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Search - electrocardiography