IEEE Open Journal of Engineering in Medicine and Biology

Articles
Privacy-Preserving Deep Speaker Separation for Smartphone-Based Passive Speech Assessment
Apiwat Ditthapron, Emmanuel O Agu, Adam C Lammert
Goal: Smartphones can be used to passively assess and monitor patients’ speech impairments caused by ailments such as Parkinson’s disease, Traumatic Brain Injury (TBI), Post-Traumatic Stress Disorder (PTSD) and neurodegenerative diseases such as Alzheimer’s disease and dementia. However, passive audio... Read more
Posted on 14 APR 2021
Articles
Stomach 3D Reconstruction Using Virtual Chromoendoscopic Images
Aji Resindra Widya, Yusuke Monno, Masatoshi Okutomi, Sho Suzuki, Takuji Gotoda, Kenji Miki
Objective. Gastric endoscopy is a golden standard in the clinical process that enables medical practitioners to diagnose various lesions inside a patient’s stomach. If a lesion is found, a success in identifying the location of the found lesion relative to... Read more
Posted on 1 MAR 2021
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simBCI – A framework for studying BCI methods by simulated EEG
Jussi T. Lindgren, Adrien Merlini, Anatole Lecuyer, Francesco P. Andriulli
Brain-Computer Interface (BCI) methods are commonly studied using Electroencephalogram (EEG) data recorded from human experiments. For understanding and developing BCI signal processing techniques real data is costly to obtain and its composition is apriori unknown. The brain mechanisms generating the... Read more
Posted on 19 NOV 2018
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Learning-Based Quality Control for Cardiac MR Images
Giacomo Tarroni, Ozan Oktay, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Jonathan Passerat-Palmbach, Antonio de Marvao, Declan P. O`Regan, Stuart Cook, Ben Glocker, Paul M. Matthews, Daniel Rueckert
The effectiveness of a cardiovascular magnetic resonance (CMR) scan depends on the ability of the operator to correctly tune the acquisition parameters to the subject being scanned and on the potential occurrence of imaging artifacts, such as cardiac and respiratory... Read more
Posted on 1 NOV 2018
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FPGA Implementation of the Coupled Filtering Method and the Affine Warping Method
Chen Zhang, Tianzhu Liang, Philip K. T. Mok, Weichuan Yu
In ultrasound image analysis, the speckle tracking methods are widely applied to study the elasticity of body tissue. However, “feature-motion decorrelation” still remains as a challenge for the speckle tracking methods. Recently, a coupled filtering method and an affine warping... Read more
Posted on 17 AUG 2017