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) is an Associate Professor in the School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA. 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). Pamela received the B.S. degree in bioengineering from the University of California, Berkeley, CA, USA, the M.S. degree in electrical engineering (robotics) from the University of Washington, Seattle, WA, USA, and the Ph.D. degree in electrical engineering (MEMS) from the University of Michigan, Ann Arbor, MI,... Read more

Pamela Bhatti (S’05-M’06) is an Associate Professor in the School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA. 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). Pamela received the B.S. degree in bioengineering from the University of California, Berkeley, CA, USA, the M.S. degree in electrical engineering (robotics) from the University of Washington, Seattle, WA, USA, and the Ph.D. degree in electrical engineering (MEMS) from the University of Michigan, Ann Arbor, MI, USA, in 1989, 1993, and 2006, respectively. In 2011 Pamela received the NSF Career Award to focus on vestibular rehabilitation. In 2013 she earned a Masters Degree 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. 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.

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Updates

IEEE Journal on

Translational Engineering in Medicine in Biology

2020
VOLUME 8
IJTEHM
8
The IEEE Journal of Translational Engineering in Health and Medicine Volume 8 has been published.
An Electrocardiographic System with Anthropometrics via Machine Learning to Screen Left Ventricular Hypertrophy among Young Adults
The prevalence of physiological and pathological left ventricular hypertrophy (LVH) among young adults is about 5%. A use of electrocardiographic (ECG) voltage criteria and machine learning for the ECG parameters to identify the presence of LVH is estimated only 20-30%... Read more
3D Motion Estimation of Left Ventricular Dynamics Using MRI and Track-to-Track Fusion
This study investigates the estimation of three dimensional (3D) left ventricular (LV) motion using the fusion of different two dimensional (2D) cine magnetic resonance (CMR) sequences acquired during routine imaging sessions. Although standard clinical cine CMR data is inherently 2D,... Read more
Articles, Published Articles
Multi-Source Transfer Learning via Ensemble Approach for Initial Diagnosis of Alzheimer’s Disease
Alzheimer’s disease (AD) is one of the most common progressive neurodegenerative diseases, and the number of AD patients has increased year after year with the global aging trend. The onset of AD has a long preclinical stage. If doctors can... Read more
Articles, Published Articles
Real-time Lung Tumor Tracking Using A CUDA Enabled Nonrigid Registration Algorithm for MRI
This study intends to develop an accurate, real-time tumor tracking algorithm for the automated radiation therapy for cancer treatment using Graphics Processing Unit (GPU) computing. Although a previous moving mesh based tumor tracking approach has been shown to be successful... Read more
Articles, Published Articles
Vibrotactile-feedback Device for Postural Balance among Malocclusion Patients
Multiple studies have suggested that some associations exist between occlusal factors and postural alterations. Objectives: This study aimed to evaluate the effectiveness of a vibrotactile posture trainer device, comprised a wearable device containing an accelerometer sensor to measure the angle... Read more