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Showing result 1 - 5 of 7 essays matching the above criteria.

1. 1. Transfer learning applied to a deep learning system for cardiac abnormality classification in electrocardiograms

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Adrian Campoy Rodriguez; [2022]
   Keywords : Deep Learning; ECG; Wavelet Transform; Scattering Transform; Transfer Learning; Canonical Correlation Analysis; Djupinlärning; EKG; wavelettransform; scatteringtransform; överföringsinlärning; kanonisk korrelationsanalys;

   Abstract : Cardiovascular diseases are a leading cause of death globally. Early diagnosis and treatment is of prime importance to prevent or mitigate health complications. Electrocardiogram (ECG) is a standard test modality used for early diagnosis of arrhythmias. The standard ECG uses 12 leads (i. READ MORE

3. 2. Decoding Steady-State VisualEvoked Potentials(SSVEPs)- Implementation and Performance Analysis

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Peipei Han; [2020]
   Keywords : ;

   Abstract : Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces(BCIs) have been widely investigated. Algorithms from the canonical correlation analysis(CCA) family perform extremely well in detecting stimulus targets by analyzing the relationship of frequency features between electroencephalogram (EEG) signals and stimulus targets. READ MORE

4. 3. A canonical correlation analysis- based approach to identify causal genes in atherosclerosis

   University essay from Högskolan i Skövde/Institutionen för biovetenskap

   Author : Crisencia Sizyoogno; [2018]
   Keywords : Canonical correlation analysis; Atherosclerosis; bioinformatics; CRISPR_Cas9; Phenotypes; Genotypes; GWAS; zebrafish; Cardiovascular and metabolic disease;

   Abstract : Genome-wide associations studies (GWASs) have identified hundreds of loci that are strongly associated with coronary artery disease and its risk factors. However, the causal variants and genes remain unknown for the vast majority of the identified loci. READ MORE

5. 4. Random Subspace Analysis on Canonical Correlation of High Dimensional Data

   University essay from Uppsala universitet/Statistiska institutionen

   Author : Ryo Yamazaki; [2016]
   Keywords : Canonical correlation; Random subspace analysis; high-dimensional statistics;

   Abstract : High dimensional, low sample, data have singular sample covariance matrices,rendering them impossible to analyse by regular canonical correlation (CC). Byusing random subspace method (RSM) calculation of canonical correlation be-comes possible, and a Monte Carlo analysis shows resulting maximal CC canreliably distinguish between data with true correlation (above 0. READ MORE

6. 5. CCASENSE: Canonical Correlation Analysis for Estimation of Sensitivity Maps for Fast MRI

   University essay from Medicinsk informatik; Tekniska högskolan

   Author : Henrik Brodin; [2006]
   Keywords : CCA; Blind Source Separation; SENSE; Magnetic Resonance Imaging;

   Abstract : Magnetic Resonance Imaging is an established technology for both imaging and functional studies in clinical and research environments. The field is still very research intense. Two major research areas are acquisition time and signal quality. READ MORE