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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Pamela Bhatti, PhD
Editor-in-chief
Editor-in-chief

Pamela Bhatti (S’05-M’06-SM'19) is an Associate Professor and Associate Chair for Innovation and Entrepreneurship at the School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA. Her research is dedicated to overcoming sensory loss in human hearing through focused neural stimulation, and novel implantable sensors. Dr. Bhatti also conducts research in cardiac imaging to assess and monitor cardiovascular disease. She received her B.S. in Bioengineering from the University of California, Berkeley (1989), her M.S. in Electrical Engineering from the University of Washington (1993), and her Ph.D. in Electrical Engineering from the University of Michigan, Ann Arbor (2006). In 2013 she earned an M.S. in Clinical Research from Emory University and serves as the Georgia Tech Research, Education, and Career Development Director for the Atlanta Clinical and Translational Sciences Institute, an NIH-funded center. Committed to translating technology... Read more

Pamela Bhatti (S’05-M’06-SM'19) is an Associate Professor and Associate Chair for Innovation and Entrepreneurship at the School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA. Her research is dedicated to overcoming sensory loss in human hearing through focused neural stimulation, and novel implantable sensors. Dr. Bhatti also conducts research in cardiac imaging to assess and monitor cardiovascular disease. She received her B.S. in Bioengineering from the University of California, Berkeley (1989), her M.S. in Electrical Engineering from the University of Washington (1993), and her Ph.D. in Electrical Engineering from the University of Michigan, Ann Arbor (2006). In 2013 she earned an M.S. in Clinical Research from Emory University and serves as the Georgia Tech Research, Education, and Career Development Director for the Atlanta Clinical and Translational Sciences Institute, an NIH-funded center. Committed to translating technology to the clinical setting, in 2016 she co-founded Camerad Technologies, a company dedicated to improving throughput and quality in radiology imaging.
Before completing her Ph.D. degree, she researched the detection of breast cancer with ultrasound imaging in the Department of Radiology, University of Michigan (1997-1999). Her industry experience includes embedded systems software development at Microware Corporation, Des Moines, IA, USA (1996-1997), local operating network applications development and customer support at Motorola Semiconductor, Austin, TX, USA (19941995), and research and fabrication of controlled-release drug delivery systems at Alza Corporation, Palo Alto, CA, USA (1986-1990).

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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

IEEE Journal of

Translational Engineering in Health and Medicine

2020
VOLUME 9
IJTEHM
9
The IEEE Journal of Translational Engineering in Health and Medicine Volume 9 was recently published.
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... Read more
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... Read more
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... Read more
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... Read more
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
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... Read more
Articles
A Novel Wearable Device for Continuous Temperature Monitoring & Fever Detection
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... 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
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... Read more
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... Read more
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.... Read more
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... Read more
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... Read more
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... Read more
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... Read more
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... Read more
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... Read more
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... Read more
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... Read more
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... Read more
Articles
Autonomous Robot for Removing Superficial Traumatic Blood
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... Read more
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... Read more
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
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... Read more
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... Read more
Articles
Pathologic blood samples tolerate exposure to vibration and high turbulence in simulated drone flights, but plasma samples should be centrifuged after flight.
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... Read more
Articles
A deep convolutional neural network method to detect seizures and characteristic frequencies using epileptic electroencephalogram (EEG) data
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... Read more
Articles
Registration Techniques for Clinical Applications of Three-Dimensional Augmented Reality Devices
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... Read more
Articles
Quantifying Pathological Synergies in the Upper Extremity of Stroke Subjects With the Use of Inertial Measurement Units: A pilot Study
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... Read more
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
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... Read more
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... Read more
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... Read more
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... Read more
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... Read more
Articles
A Decision Support System for Diabetes Chronic Care Models based on General Practitioner engagement and EHR data sharing
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... Read more
Articles
Quantification of Resting of Resting-state Ballistocardiogram Difference between Clinical and Non-clinical Populations for Ambient Monitoring of Heart Failure
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... Read more
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... Read more