Articles

Combining Optical Character Recognition with Paper ECG Digitization
Author(s)3: Shambavi Ganesh, Pamela Bhatti, Mhmtjamil Alkhalaf, Shishir Gupta, Srini Tridandapani
Combining Optical Character Recognition with Paper ECG Digitization 698 514 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Objective: We propose a MATLAB-based tool to convert electrocardiography (ECG) waveforms from paper-based ECG records into digitized ECG signals that is vendor-agnostic. The tool is packaged as an open source…

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Classifying multi-level stress responses from brain cortical EEG in Nurses and Non-health professionals using Machine Learning Auto Encoder
Author(s)3: Ashlesha Akella, Avinash Kumar Singh, Daniel Leong, Sara Lal, Phillip Newton, Roderick Clifton-Bligh, Craig Steven McLachlan, Sylvia Maria Gustin, Shamona Maharaj, Ty Lees, Zehong Cao, Chin-Teng Lin
Classifying multi-level stress responses from brain cortical EEG in Nurses and Non-health professionals using Machine Learning Auto Encoder 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

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…

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Automated Diagnosis of COVID-19 using Deep Features and Parameter Free BAT Optimization
Author(s)3: Taranjit Kaur, Tapan K. Gandhi, Bijaya K. Panigrahi
Automated Diagnosis of COVID-19 using Deep Features and Parameter Free BAT Optimization 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

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…

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Autoencoder-Inspired Convolutional Network-Based Super-Resolution Method in MRI
Author(s)3: Seonyeong Park, H. Michael Gach, Siyong Kim, Suk Jin Lee, Yuichi Motai
Autoencoder-Inspired Convolutional Network-Based Super-Resolution Method in MRI 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

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…

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Detecting Cataract Using Smartphones
Author(s)3: Behnam Askarian, Peter Ho, Jo Woon Chong
Detecting Cataract Using Smartphones 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

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…

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Clinically applicable machine learning approaches to identify attributes of Chronic Kidney Disease (CKD) for use in low-cost diagnostic screening
Author(s)3: Md. Rashed-Al-Mahfuz, Abedul Haque, AKM Azad, Salem A. Alyami, Julian M.W. Quinn, Mohammad Ali Moni
Clinically applicable machine learning approaches to identify attributes of Chronic Kidney Disease (CKD) for use in low-cost diagnostic screening 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

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…

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Identifying hand use and hand roles after stroke using egocentric video
Author(s)3: Meng-Fen Tsai, Rosalie H. Wang, José Zariffa
Identifying hand use and hand roles after stroke using egocentric video 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Objective: Upper limb (UL) impairment impacts quality of life, but is common after stroke. UL function evaluated in the clinic may not reflect use in activities of daily living (ADLs)…

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Development of a Smart Hallway for Markerless Human Foot Tracking and Stride Analysis
Author(s)3: Vinod Gutta, Pascal Fallavollita, Natalie Baddour, Edward D Lemaire
Development of a Smart Hallway for Markerless Human Foot Tracking and Stride Analysis 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Objective: In this research, a marker-less ‘smart hallway’ is proposed where stride parameters are computed as a person walks through an institutional hallway. Stride analysis is a viable tool for…

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Detecting effect of levodopa in Parkinson’s disease patients using sustained phonemes
Author(s)3: Nemuel D. Pah, Mohammod A. Motin, Peter Kempster, Dinesh Kumar
Detecting effect of levodopa in Parkinson’s disease patients using sustained phonemes 150 150 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Background: Parkinson’s disease (PD) is a multi-symptom neurodegenerative disease generally managed with medications, of which levodopa is the most effective. Determining the dosage of levodopa requires regular meetings where motor…

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