IEEE Journal of
Translational Engineering in Health and Medicine
IEEE Journal of
Translational Engineering in Health and Medicine
IEEE Journal of Translational Engineering in Health and Medicine's unique aim is to publish original work in the intersection of engineering and clinical translation. The journal's focus is interdisciplinary collaborations between researchers, healthcare providers, and industry and aims to publish results and best practices from these translational efforts.
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Richard Reilly, PhD
Editor-in-chief
Editor-in-chief
Richard Reilly is Chair of Neural Engineering and Full Professor, a joint position in the School of Medicine and School of Engineering at Trinity College, The University of Dublin. He is a Principal investigator at the Trinity Centre for Biomedical Engineering, the Trinity College Institute of Neuroscience and the Centre for Excellence in Ageing. Professor Reilly is a member of the Royal Irish Academy. He is also a Fellow of Trinity College Dublin, the Royal Academy of Medicine in Ireland, the Royal Society of Medicine and the European Alliance for Medical and Biological Engineering & Science. He was awarded the 2013 Samuel Haughton Silver Medal by the Royal Academy of Medicine in Ireland and has founded two start-up companies based on his research activities. He is a member of Board of the Health Product Regulatory Authority in Ireland... Read more
Richard Reilly is Chair of Neural Engineering and Full Professor, a joint position in the School of Medicine and School of Engineering at Trinity College, The University of Dublin. He is a Principal investigator at the Trinity Centre for Biomedical Engineering, the Trinity College Institute of Neuroscience and the Centre for Excellence in Ageing. Professor Reilly is a member of the Royal Irish Academy. He is also a Fellow of Trinity College Dublin, the Royal Academy of Medicine in Ireland, the Royal Society of Medicine and the European Alliance for Medical and Biological Engineering & Science. He was awarded the 2013 Samuel Haughton Silver Medal by the Royal Academy of Medicine in Ireland and has founded two start-up companies based on his research activities. He is a member of Board of the Health Product Regulatory Authority in Ireland and chair the HPRA’s Advisory Committee on Medical Devices. He is a member of the Board of the National Rehabilitation Hospital in Dublin.
Professor Reilly’s research focuses on signal processing of electrophysiological, neuroimaging and bioacoustic data for the development of quantitative methods to understand neural function and the underlying pathophysiology of sensory and cognitive processing. His Clinical Neural Engineering lab conducts cross-disciplinary translational research, particularly on movement disorders and ageing. His lab combines neural engineering and neural signal processing to create patient-oriented diagnostic and assessment tools, objective measures for active implantable devices and therapeutic devices. Lab projects and recent publications are described on his lab’s website http://reillylab.net/
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Dr. Shangying Wang
JTEHM Top Reviewer 2020
JTEHM Top Reviewer 2020
Dr. Shangying Wang, a postdoctoral researcher at IBM Almaden Research Center, has been named the inaugural JTEHM Top Reviewer for her outstanding work during 2020. Thank you Dr. Wang for your dedication to JTEHM!
See the full list of reviewers below.
Dr. Shangying Wang, a postdoctoral researcher at IBM Almaden Research Center, has been named the inaugural JTEHM Top Reviewer for her outstanding work during 2020. Thank you Dr. Wang for your dedication to JTEHM!
See the full list of reviewers below.
Updates
The IEEE Journal of Translational Engineering in Health and Medicine Volume 9 was recently published.
IEEE Journal of
Translational Engineering in Health and Medicine
2020
VOLUME 9
IJTEHM
VOLUME 9
IJTEHM
9
Application of a Neural Network Classifier to Radiofrequency-Based Osteopenia/Osteoporosis Screening
Objective: There is an unmet need for quick, physically small, and cost-effective office-based techniques that can measure bone properties without the use of ionizing radiation. Methods: The present study reports the application of a neural network classifier to the processing...
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Posted on 8 SEP 2021
Creation of an Automated Fluorescence Guided Tumor Ablation System
Objective: Create a device that improves the identification and extent of resection at the interface between healthy and tumor tissue; ultimately, using this device would improve surgical outcomes for patients and increase survival. Methods: We have created a contactless tumor...
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Posted on 28 JUL 2021
Articles
Radiomics based Bayesian Inversion Method for Prediction of Cancer and Pathological Stage
Objective: To develop a Bayesian inversion framework on longitudinal chest CT scans which can perform efficient multi-class classification of lung cancer. Methods: While the unavailability of large number of training medical images impedes the performance of lung cancer classifiers, the...
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Posted on 8 SEP 2021
Articles
Stress Analysis Based on Simultaneous Heart Rate Variability and EEG Monitoring
Objective: Stress is a significant risk factor for various diseases such as hypertension, heart attack, stroke, and even sudden death. Stress can also lead to psychological and behavioral disorders. Heart rate variability (HRV) can reflect changes in stress levels while...
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Posted on 8 SEP 2021
Articles
Opportunities for Regulatory Changes to Promote Pediatric Device Innovation in the United States: Joint Recommendations from Pediatric Innovator Roundtables, August 5, 2020 & January 6, 2021
Terence Sanger, Anthony Chang, William Feaster, Sharief Taraman, Nadine Afari, Debra Beauregard, Brent Dethlefs, Tiffani Ghere, Mustafa Kabeer, George Tolomiczenko, Michael Billig, Jon Brophy, Kolaleh Eskandanian, Juan Espinoza, Sherry Farrugia, Michael Harrison, Christopher Horvat, Claudia Hoyen, Chester Koh, Allison Komiyama, Krista Nelson, Omkar Kulkarni, Robert Levy, Kevin Maher, Michael O’Donnell, Todd Ponsky, Frances Richmond, Jessica Richter, Shuvo Roy, Shreim Samir, Srinivasan Suresh, Charlette Stallworth, Usha Thekkedath, Kara Toman, James Wall, Leanne West, Dawn Wolff
Objective: The purpose of this report is to provide insight from pediatric stakeholders with a shared desire to facilitate a revision of the current United States regulatory pathways for the development of pediatric healthcare devices. Methods: On August 5, 2020,...
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Posted on 20 JUL 2021
Articles
Multi-Compartment Spatially-derived Radiomics from Optical Coherence Tomography Predict Anti-VEGF Treatment Durability in Macular Edema Secondary to Retinal Vascular Disease: Preliminary Findings
Sudeshna Sil Kar, Duriye Damla Sevgi, Vincent Dong, Sunil K. Srivastava, Anant Madabhushi, Justis P. Ehlers
Objective: Diabetic macular edema (DME) and retinal vein occlusion (RVO) are the leading causes of visual impairments across the world. Vascular endothelial growth factor (VEGF) stimulates breakdown of blood-retinal barrier that causes accumulation of fluid within macula. Anti-VEGF therapy is...
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Posted on 20 JUL 2021
Articles
A Novel Wearable Device for Continuous Temperature Monitoring & Fever Detection
Nishant Verma, Iman Haji-Abolhassani, Suhas Ganesh, Jesus Vera-Aguilera, Jonas Paludo, Roxana Heitz, Svetomir Markovic, Kimary Kulig, Atiyeh Ghoreyshi
Continuous temperature monitoring in high-risk patients can enable healthcare providers to remotely track patients’ temperatures, promptly detect fevers and timely intervene to improve clinical outcomes. We evaluated if a novel wearable, continuous temperature monitor (Verily Patch) can reliably estimate body...
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Posted on 20 JUL 2021
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...
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Posted on 10 MAY 2021
Recent News
JTEHM Reviewers and Exceptional Reviewers (Updated June 2021)
The JTEHM editorial board acknowledges the contributions of all reviewers in our annual reviewer list. In the past, the board has named a few reviewers as “Exceptional Reviewers.” Beginning with the list of 2020 reviewers the board has decided to...
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Posted on 2 JUN 2021
Articles
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...
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Posted on 3 MAY 2021
Articles
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....
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Posted on 22 APR 2021
Articles
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...
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Posted on 16 APR 2021
Articles
Identifying hand use and hand roles after stroke using egocentric video
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) after stroke, and current approaches for assessment at home rely...
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Posted on 9 APR 2021
Articles
Development of a Smart Hallway for Markerless Human Foot Tracking and Stride Analysis
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 identifying mobility changes, classifying abnormal gait, estimating fall risk, monitoring...
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Posted on 30 MAR 2021
Articles
Detecting effect of levodopa in Parkinson’s disease patients using sustained phonemes
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 function can be observed. Speech impairment is an early symptom...
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Posted on 18 MAR 2021
Articles
MLBF-Net: A Multi-Lead-Branch Fusion Network for Multi-Class Arrhythmia Classification Using 12-Lead ECG
Automatic arrhythmia detection using 12-lead electrocardiogram (ECG) signal plays a critical role in early prevention and diagnosis of cardiovascular diseases. In the previous studies on automatic arrhythmia detection, most methods concatenated 12 leads of ECG into a matrix, and then...
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Posted on 10 MAR 2021
Articles
Stomach 3D Reconstruction Using Virtual Chromoendoscopic Images
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...
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Posted on 1 MAR 2021
Articles
MLBF-Net: A Multi-Lead-Branch Fusion Network for Multi-Class Arrhythmia Classification Using 12-Lead ECG
Automatic arrhythmia detection using 12-lead electrocardiogram (ECG) signal plays a critical role in early prevention and diagnosis of cardiovascular diseases. In the previous studies on automatic arrhythmia detection, most methods concatenated 12 leads of ECG into a matrix, and then...
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Posted on 10 MAR 2021
Articles
Intraductal Tissue Sampling Device Designed for the Biliary Tract
Clinical sampling of tissue that is read by a pathologist is currently the gold standard for making a disease diagnosis, but the few minimally invasive techniques available for small duct biopsies have low sensitivity, increasing the likelihood of false negative...
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Posted on 5 FEB 2021
Articles
Massage Therapy’s Effectiveness on the decoding EEG rhythms of Left/Right Motor Imagery and Motion Execution in Patients with Skeletal Muscle Pain
Objective: Most of effectiveness assessments of the widely-used Massage therapy were based on subjective routine clinical assessment tools, such as Visual Analogue Scale (VAS) score. However, few studies demonstrated the impact of massage on the Electroencephalograph (EEG) rhythm decoding of...
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Posted on 4 FEB 2021
Articles
Autonomous Robot for Removing Superficial Traumatic Blood
Baiquan Su, Yu Shi, Xintong Li, Yi Gong, Han Li, Zifeng Ren, Yijing Xia, He Wang, Yucheng Zhang, Wei Yao, Junchen Wang, Jie Tang
Objective: To remove blood from an incision and find the incision spot is a key task during surgery, or else over discharge of blood will endanger a patient’s life. However, the repetitive manual blood removal involves plenty of workload contributing...
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Posted on 3 FEB 2021
Articles
Design, Simulation, and Development of a BioSensor for Viruses Detection using FPGA
Abstract:Objective: Impedance based biosensing provides a unique, highly sensitive electrical approach to biomolecule detection, cell growth, and other biological events. To date, an impedance change due to the cell growth has been considered as a solution to detect some changes...
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Posted on 2 FEB 2021
Articles, Uncategorized
mHealth Technology Translation in a Limited Resources Community – Process, Challenges, and Lessons Learned from a Limited Resources Community of Chiang Mai Province, Thailand
Waraporn Boonchieng, Jintana Chaiwan, Bijaya Shrestha, Manash Shrestha, Adam J.O. Dede, Ekkarat Boonchieng
Objective: This report aims to provide practical advice about the implementation of a public health monitoring system using both geographic information system technology and mobile health, a term used for healthcare delivery via mobile devices. application amongst household residents and...
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Posted on 28 JAN 2021
Articles
Hand-held zoom micro-imaging system based on microfluidic chip for point-of-care testing (POCT) of vaginal inflammation
Background: Vaginitis is a common and very private disease, and the current diagnosis is a frequent go to the hospital for testing. Objective: In order to improve the convenience and speed of detection, in this paper, we have developed a...
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Posted on 27 JAN 2021
Articles
Pathologic blood samples tolerate exposure to vibration and high turbulence in simulated drone flights, but plasma samples should be centrifuged after flight.
Karl Arne Johannessen, Nina Kristin Steen Wear, Karin Toska, Morten Hansbø, Jens Petter Berg, Erik Fosse
Abstract: Most of the previous studies of drone transport of blood samples examined normal blood samples transported under tranquil air conditions. We studied the effects of 1- and 2-hour drone flights using random vibration and turbulence simulation (10-30 g-force) on...
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Posted on 23 JAN 2021
Articles
A deep convolutional neural network method to detect seizures and characteristic frequencies using epileptic electroencephalogram (EEG) data
Md. Rashed-Al-Mahfuz, Mohammad Ali Moni, Shahadat Uddin, Salem A. Alyami, Mattew A. Summers, Valsamma Eapen
Background: Diagnosing epileptic seizures using electroencephalogram (EEG) in combination with deep learning computational methods has received much attention in recent years. However, to date, deep learning techniques in seizure detection have not been effectively harnessed due to sub-optimal classifier design...
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Posted on 13 JAN 2021
Articles
Registration Techniques for Clinical Applications of Three-Dimensional Augmented Reality Devices
Christopher M. Andrews, Alexander B. Henry, Ignacio M. Soriano, Michael K. Southworth, Jonathan R. Silva
Many clinical procedures would benefit from direct and intuitive real-time visualization of anatomy, surgical plans, or other information crucial to the procedure. Three-dimensional augmented reality (3D-AR) is an emerging technology that has the potential to assist physicians with spatial reasoning...
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Posted on 30 DEC 2020
Articles
Quantifying Pathological Synergies in the Upper Extremity of Stroke Subjects With the Use of Inertial Measurement Units: A pilot Study
Miguel M. C. Bhagubai, Gerjan Wolterink, Anne Schwarz, Jeremia P.O. Held, Bert-Jan F. van Beijnum, Peter H. Veltink
Abstract Background: Stroke is one of the main causes of disability in the world, causing loss of motor function on mainly one side of the body. A proper assessment of motor function is required to help to direct and evaluate...
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Posted on 8 DEC 2020
Articles
Assessment of residual radioactivity by a comprehensive wireless, wearable device in thyroid cancer patients undergoing radionuclide therapy and comparison with the results of a home device: a feasibility study
R. Gallachio, D. Scapicchio, A. Nardelli, T. Pellegrino, M. Prisco, P. Mainenti, C. Sirignano, P. Pedicini, G. Storto
Objective: To investigate the feasibility of using a wireless wearable device (WD) in differentiated thyroid cancer (DTC) patients undergoing radionuclide therapy with I-131 (RAI) and protected hospitalization, this study compared the measurements of residual radioactivity obtained with those registered by...
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Posted on 3 DEC 2020
Articles
Modeling Large Sparse Data for Feature Selection: Hospital Admission Predictions of the Dementia Patients using Primary Care Electronic Health Records
A growing elderly population suffering from incurable, chronic conditions such as dementia present a continual strain on medical services due to mental impairment paired with high comorbidity resulting in increased hospitalization risk. The identification of at risk individuals allows for...
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Posted on 25 NOV 2020
Articles
Novel Technique for Noninvasive Detection of Localized Dynamic Brain Signals by Using Transcranial Static Magnetic Fields
The techniques for noninvasive measurement of brain function such as electroencephalography (EEG), magnetoencephalography (MEG), functional magnetic resonance imaging (fMRI), and functional near-infrared spectroscopy (fNIRS) have been used in diagnosing brain conditions. However, the conventional techniques have critical limitations of spatial...
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Posted on 18 NOV 2020
Articles
Design of a Device for Lower Limb Prophylaxis and Exercise
The problem of immobility of legs leading to a potentially life threatening condition including deep venous thrombosis (DVT) is well known. The reduced mobility of leg affects a large number of patients in a wide range of clinical scenarios spanning...
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Posted on 10 NOV 2020
Articles
Quantifying Tremor in Essential Tremor using Inertial Sensors — Validation of an Algorithm
Background Assessment of essential tremor is often done by a trained clinician who observes the limbs during different postures and actions and subsequently rates the tremor. While this method has been shown to be reliable, the inter- and intra-rater reliability...
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Posted on 22 OCT 2020
Articles
A Decision Support System for Diabetes Chronic Care Models based on General Practitioner engagement and EHR data sharing
Emanuele Frontoni, Luca Romeo, Michele Bernardini, Sara Moccia, Lucia Migliorelli, Marina Paolanti, Alessandro Ferri, Paolo Misericordia, Adriano Mancini, Primo Zingaretti
Objective Decision support systems (DSS) have been developed and promoted for their potential to improve quality of health care. However, there is a lack of common clinical strategy and a poor management of clinical resources and erroneous implementation of preventive...
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Posted on 14 OCT 2020
Articles
Quantification of Resting of Resting-state Ballistocardiogram Difference between Clinical and Non-clinical Populations for Ambient Monitoring of Heart Failure
Isaac S. Chang, Susanna Mak, Narges Armanfard, Jennifer Boger, Sherry L. Grace, Amaya Arcelus, Caroline Chessex, Alex Mihailidis
A ballistocardiogram (BCG) is a versatile bio-signal that enables ambient remote monitoring of heart failure (HF) patients in a home setting, achieved through embedded sensors in the surrounding environment. Numerous methods of analysis are available for extracting physiological information using...
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Posted on 12 OCT 2020
Articles
Side-Channel Sensing: Exploiting Side-Channels to Extract Information for Medical Diagnostics and Monitoring
Abstract Information within systems can be extracted through side-channels; unintended communication channels that leak information. The concept of side-channel sensing is explored, in which sensor data is analysed in non-trivial ways to recover subtle, hidden or unexpected information. Practical examples...
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Posted on 7 OCT 2020