IEEE Open Journal of Engineering in Medicine and Biology
Articles

Articles
Semi-Automated Graphical System for Calculating Pulmonary Vascular Impedances in a Clinical Setting
Computer graphic on right illustrates the steps necessary to analyze PVZ using the CompositePVZ © software. This includes measuring pulmonary artery (PA) diameter, tracing of PA pressure waveforms, pulsed-wave Doppler waveforms, and corresponding electrocardiogram signals. It also illustrates the user... Read more
Articles
Classifying multi-level stress responses from brain cortical EEG in Nurses and Non-health professionals using Machine Learning Auto Encoder
Objective: Mental stress is a major problem in our society and has become an area of interest for many psychiatric researchers. One primary research focus area is the identification of bio-markers that not only identify stress but also predict the... Read more
Articles
Automated Diagnosis of COVID-19 using Deep Features and Parameter Free BAT Optimization
Background: Timely and precise identification of COVID-19 is an arduous task owing to the scarcity and inefficiency of the medical test kits. This has resulted in medical professionals turning towards Computed Tomography (CT) scans. Efforts are being made to design... Read more
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Autoencoder-Inspired Convolutional Network-Based Super-Resolution Method in MRI
Objective: To introduce an MRI in-plane resolution enhancement method that estimates High-Resolution (HR) MRIs from Low-Resolution (LR) MRIs. Method & Materials: Previous CNN-based MRI super-resolution methods cause loss of input image information due to the pooling layer. An Autoencoder-inspired Convolutional... Read more
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Local Alignment of DNA Sequence Based on Deep Reinforcement Learning
Goal: Over the decades, there have been improvements in the sequence alignment algorithm, with significant advances in various aspects such as complexity and accuracy. However, human-defined algorithms have an explicit limitation in view of developmental completeness. This paper introduces a... Read more
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Ultrasound Shear Wave Elastography and Transient Optical Coherence Elastography: Side-by-Side Comparison of Repeatability and Accuracy
Objective: We compare the repeatability and accuracy of ultrasound shear wave elastography (USE) and transient optical coherence elastography (OCE). Methods: Elastic wave speed in gelatin phantoms and chicken breast was measured with USE and OCE and compared with uniaxial mechanical... Read more
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Analyzing Self-Efficacy and Summary Feedback in Automated Social Skills Training
Goal: Although automated social skills training has been proposed to enhance human social skills, the following two aspects have not been adequately explored: what types of feedback are effective from virtual agents and the extent to which such systems enhance... Read more
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Detecting Cataract Using Smartphones
Objective: Cataract, which is the clouding of the crystalline lens, is the most prevalent eye disease accounting for 51% of all eye diseases in the U.S. Cataract is a progressive disease, and its early detection is critical for preventing blindness.... Read more
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Clinically applicable machine learning approaches to identify attributes of Chronic Kidney Disease (CKD) for use in low-cost diagnostic screening
Objective: Chronic kidney disease (CKD) is a major public health concern worldwide. High costs of late-stage diagnosis and insufficient testing facilities can contribute to high morbidity and mortality rates in CKD patients, particularly in less developed countries. Thus, early diagnosis... Read more
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Privacy-Preserving Deep Speaker Separation for Smartphone-Based Passive Speech Assessment
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