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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Editor-in-Chief

Richard Reilly, Ph.D.

Richard Reilly, Ph.D.

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.

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8 Volumes Published

JTEHM Top Reviewer 2020

Dr. Shangying Wang

Dr. Shangying Wang

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!

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Updates

The IEEE Journal of Translational Engineering in Health and Medicine Volume 9 was recently published.

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Wearable Device-Independent Next Day Activity and Next Night Sleep Prediction for Rehabilitation Populations IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Wearable Device-Independent Next Day Activity and Next Night Sleep Prediction for Rehabilitation Populations

Wearable sensor-based devices are increasingly applied in free-living and clinical settings to collect fine-grained, objective data about activity and sleep behavior. The manufacturers of these devices provide proprietary software that…

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Feasibility of using high-contrast grating as a point-of-care sensor for therapeutic drug monitoring of immunosuppressants IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Feasibility of using high-contrast grating as a point-of-care sensor for therapeutic drug monitoring of immunosuppressants

Abstract Point-of-care (POC) testing has demonstrated great transformative potential in personalized medicine. In particular, patients undergoing transplantation require POC testing to ensure appropriate serum immunosuppressant levels so as to maintain…

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A Multi-Task Group Bi-LSTM Networks Application on Electrocardiogram Classification IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

A Multi-Task Group Bi-LSTM Networks Application on Electrocardiogram Classification

Background: Cardiovascular diseases (CVD) are the leading cause of death globally. Electrocardiogram (ECG) analysis can provide thoroughly assessment for different CVDs efficiently. We propose a multi-task group bidirectional long short-term…

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Radiomics based Bayesian Inversion Method for Prediction of Cancer and Pathological Stage 396 353 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Radiomics based Bayesian Inversion Method for Prediction of Cancer and Pathological Stage
Author(s): Yiming Deng, Haroon Rasheed, Tariq Khan, Hina Shakir

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…

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Application of a Neural Network Classifier to Radiofrequency-Based Osteopenia/Osteoporosis Screening 412 281 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Application of a Neural Network Classifier to Radiofrequency-Based Osteopenia/Osteoporosis Screening
Author(s): Sergey N. Makarov, Ara Nazarian, Gregory M. Noetscher, Ziming Zhang, Johnathan W. Adams

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…

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Stress Analysis Based on Simultaneous Heart Rate Variability and EEG Monitoring 660 295 IEEE Journal of Translational Engineering in Health and Medicine (JTEHM)

Stress Analysis Based on Simultaneous Heart Rate Variability and EEG Monitoring
Author(s): Mehmet Kaya, Ersoy Subasi, Vignesh Balasubramanian, Eyad Talal Attar

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…

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