Carlos H Muravchik
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Explore the profile of Carlos H Muravchik including associated specialties, affiliations and a list of published articles.
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Articles
19
Citations
100
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Recent Articles
11.
Cao N, Yetik I, Nehorai A, Muravchik C, Haueisen J
IEEE Trans Biomed Eng
. 2006 Dec;
53(12 Pt 1):2414-24.
PMID: 17153198
Electroencephalography (EEG) is an important tool for studying the brain functions and is becoming popular in clinical practice. In this paper, we develop four parametric EEG models to estimate current...
12.
Cao N, Yetik I, Nehorai A, Muravchik C, Haueisen J
IEEE Trans Biomed Eng
. 2006 Nov;
53(11):2156-65.
PMID: 17073320
We develop three parametric models for electroencephalography (EEG) to estimate current sources that are spatially distributed on a line. We assume a realistic head model and solve the EEG forward...
13.
Yetik I, Nehorai A, Muravchik C, Haueisen J, Eiselt M
IEEE Trans Biomed Eng
. 2006 Oct;
53(10):1872-82.
PMID: 17019850
We propose a number of electric source models that are spatially distributed on an unknown surface for biomagnetism. These can be useful to model, e.g., patches of electrical activity on...
14.
von Ellenrieder N, Muravchik C, Nehorai A
IEEE Trans Biomed Eng
. 2006 Mar;
53(3):421-9.
PMID: 16532768
We study the effect of geometric head model perturbations on the electroencephalography (EEG) forward and inverse problems. Small magnitude perturbations of the shape of the head could represent uncertainties in...
15.
von Ellenrieder N, Muravchik C, Nehorai A
IEEE Trans Biomed Eng
. 2005 Jul;
52(7):1210-7.
PMID: 16041984
We present a formulation for the magnetoencephalography (MEG) forward problem with a layered head model. Traditionally the magnetic field is computed based on the electric potential on the interfaces between...
16.
Yetik I, Nehorai A, Muravchik C, Haueisen J
IEEE Trans Biomed Eng
. 2005 May;
52(5):839-51.
PMID: 15887533
We propose a number of source models that are spatially distributed on a line for magnetoencephalography (MEG) using both a spherical head with radial sensors for more efficient computation and...
17.
Yetik I, Nehorai A, Lewine J, Muravchik C
IEEE Trans Biomed Eng
. 2005 Mar;
52(3):471-9.
PMID: 15759577
Performances of electroencephalography (EEG) and magnetoencephalography (MEG) source estimation methods depend on the validity of the assumed model. In many cases, the model structure is related to physical information. We...
18.
von Ellenrieder N, Muravchik C, Nehorai A
IEEE Trans Biomed Eng
. 2005 Feb;
52(2):249-57.
PMID: 15709662
We present a numerical method to solve the quasistatic Maxwell equations and compute the electroencephalography (EEG) forward problem solution. More generally, we develop a computationally efficient method to obtain the...
19.
Gutierrez D, Nehorai A, Muravchik C
IEEE Trans Biomed Eng
. 2004 Dec;
51(12):2113-22.
PMID: 15605858
Techniques based on electroencephalography (EEG) measure the electric potentials on the scalp and process them to infer the location, distribution, and intensity of underlying neural activity. Accuracy in estimating these...