نتایج جستجو برای: electrocardiogram artifact

تعداد نتایج: 32872  

2009
Julien Oster Olivier Pietquin Michel Kraemer Jacques Felblinger

Electrocardiogram (ECG) is required during Magnetic Resonance Imaging (MRI) for two reasons, patient monitoring and MRI sequence synchronization for cardiovascular imaging. The MRI environment severely distorts ECG signals. The Magnetic Field Gradients (MFG) especially induce artifacts, which make ECG analysis during MRI acquisition challenging. Specific signal processing is thus required. An M...

Journal: :American heart journal 1973
T A Preston

C atheter displacement is an infrequent but bothersome cause of failure of implanted pacemaker systems. The prevalence of catheter displacement is 6r to 45 per cent2 of all permanent transvenous catheter implantations. Displacement can occur at any time, but is most common within the first month, and has occurred as many as 24 months after implantation.1 Marked catheter displacement usually res...

2011
A. Mani Maran S. Saravanan

The Electroencephalogram (EEG) is a biological signal that represents the electrical activity of the brain. Artifacts in EEG signals are caused by various factors, like line interference, EOG (electro-oculogram) and ECG (electrocardiogram). The removal of artifact from scalp EEGs is of considerable importance for analysis of underlying brainwave activity. The presence of artifacts such as muscl...

2014
K. YASODA

This paper presents a statistical method for identification of ocular artifacts in the electroencephalogram (EEG) records. The occurrence of artifacts in EEG signals is due to various factors, like power line interference, EOG (electrooculogram) and ECG (electrocardiogram). The identification of ocular artifact from scalp EEGs is mandatory for both the automated and visual analysis of underlyin...

1998
David Meintrup

LetG be a locally compact topological group and EG its universal space for the family of compact subgroups. We give criteria for this space to be G-homotopy equivalent to a d-dimensional G-CW -complex, a finite G-CW -complex or a G-CW -complex of finite type. Essentially we reduce these questions to discrete groups, and to the homological algebra of the orbit category of discrete groups with re...

Journal: :Circulation 2001
K M Kessler

Pseudo-Pseudo-Myocardial Infarction To the Editor: Hung and colleagues1 present a very important example of a pseudo-infarction pattern presumably related to pancreatitis, one of several clinical situations in which thrombolytic therapy is either not indicated or contraindicated. I am intrigued by the pattern of the bizarre T waves in the limb leads and wonder if part or all of this phenomenon ...

2009
P. Senthil Kumar R. Arumuganathan K. Sivakumar

This paper presents a statistical method for removing ocular artifacts in the electroencephalogram (EEG) records. Artifacts in EEG signals are caused by various factors, like line interference, EOG (electro-oculogram) and ECG (electrocardiogram). The removal of ocular artifact from scalp EEGs is of considerable importance for both the automated and visual analysis of underlying brainwave activi...

2011
Katrina Wendel Kalervo Suominen Pasi Kauppinen Eila Sonkajärvi Jarno M. A. Tanskanen Kotoe Kamata Outi Väisänen Jari Hyttinen Ville Jäntti

The electroencephalogram (EEG) generated by cerebral cortex can be recorded far away from the cortex, analogous to the electrocardiogram (ECG) that can be recorded far from the heart. ECG is often seen as an artifact in EEG recordings. In this paper we demonstrate that the burst suppression pattern of EEG, which is generated by the cerebral cortex, can be recorded at a distance from the cortex ...

2004
R. G. Hohlfeld C. Rajagopalan G. W. Neff

Many physiological signals may be described either as isolated pulses or as quasi-periodic sequences of isolated pulses. Wavelets are a powerful tool for the representation and analysis of such physiologic waveforms because a wavelet has finite duration (compact support) as contrasted with Fourier methods based on sinusoids of infinite duration. We show two examples of physiological signal proc...

2015
Akanksha Mittal Amit Rege Manpreet Kaur

Heart diseases, which are one of the death reasons, are among the several serious problems in this century and as per the latest survey, 60% of the patients die due to Heart diseases. These diseases can be diagnosed by ECG signals. Different artifacts may present in the ECG signals which can thus cause problems for the Specialist to diagnose the diseases. The objective of this paper was to deve...

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