EEG dataset reduction and classification using wave atom transform

I Martisius, D Birvinskas, R Damasevicius… - Artificial Neural Networks …, 2013 - Springer
Abstract Brain Computer Interface (BCI) systems perform intensive processing of the
electroencephalogram (EEG) data in order to form control signals for external electronic …

Segmentation of the Hippocampus for Detection of Alzheimer's Disease

M Hajiesmaeili, B Bagherinakhjavanlo… - Advances in Visual …, 2012 - Springer
Since hippocampal volume measurement is often used in detection and progression of
Alzheimer's disease (AD), segmentation of hippocampus is a significant clinical application …

Effective EMG denoising using a hybrid model based on WAT and GARCH

RK Joseph, G Titus, MS Sudhakar - Biomedical Signal Processing and …, 2018 - Elsevier
EMG is the recording of electrical activity of the muscles that can be used in diagnosing
muscular diseases like myopathy and neuropathy and in generating control signals for …

[PDF][PDF] Quality improvement on MRI corrupted with rician noise using wave atom transform

V Kumar, S Saini, S Dhiman - International Journal of Computer …, 2012 - Citeseer
Magnetic resonance imaging is a medical imaging technique that measures the response of
atomic nuclei of body tissues to high frequency radio waves when placed in a strong …

Data acquisition and signal processing methods for brain–computer interfaces

I Martišius - 2016 - epubl.ktu.edu
Abstract [eng] The dissertation presents algorithms for a direct human brain-computer
interface. In today's world, more and more attention is paid to the disabled people's quality of …

[PDF][PDF] Rician Noise reduction in MRI images using wave atom transform

S Jangra, MS Yadav - Journal of Compute Science and Information …, 2014 - academia.edu
Magnetic resonance imaging is a medical imaging technique that measures the response of
atomic nuclei of body tissues to high frequency radio waves when placed in a strong …

Performance analysis of denoising in MR images with double density dual tree complex wavelets, curvelets and non-subsampled contourlet transforms

V Krishnakumar, L Parthiban - Annual Research & …, 2014 - open.journal4submit.com
Digital images are extensively used by the medical doctors during different stages of
disease diagnosis and treatment process. In the medical field, noise occurs in an image …

[PDF][PDF] MRI denoising using waveatom shrinkage

G Dua, V Raj - Global Journal of researches in engineering Electrical …, 2012 - academia.edu
ECE Deptt., GGSIPU Delhi Abstract-It is well known that noise in Magnetic Resonance
Image has a Rician distribution. Unlike additive Gaussian noise, Rician noise is signal …

Performance Evaluation of Gabor Filter in Removing Rician Noise in MR Images

J Papitha, D Nedumaran - … of the Fourth International Conference on …, 2013 - Springer
Magnetic Resonance images are contaminated by Rician distributed noise due to the
presence of contrast-diminishing signal-dependent bias. In this paper, Gabor filter approach …

[PDF][PDF] Noise Reduction from Radiographic Images and MRI Images Using Efficient Advanced Filter Technology to Reduce Speckle and Rician Noise

SU Saoji, PM Jawandhiya - International Journal of Grid and …, 2021 - researchgate.net
In today's world the images in the medical areas are corrupted by different types of noise.
The different noises from the medical images are very difficult task and problematic also to …