IEEE Journal of Translational Engineering in Health and Medicine

Published Articles
A Singular Spectrum Analysis-Based Data-Driven Technique for the Removal of Cardiogenic Oscillations in Esophageal Pressure Signals
Objective: Assessing the respiratory and lung mechanics of the patients in intensive care units is of utmost need in order to guide the management of ventilation support. The esophageal pressure (Peso) signal is a minimally invasive measure, which portrays the... Read more
Published Articles
Ultrasound-Based Attenuation Imaging for the Non-Invasive Quantification of Liver Fat – A Pilot Study on Feasibility and Inter-Observer Variability
Attenuation imaging is a novel, ultrasound-based technique to objectively detect and quantify liver steatosis. In this study, we evaluated the performance and inter-observer variability of attenuation imaging and compared it to a known quantification method of liver fat, the hepatorenal... Read more
Published Articles
Teleoperation of Collaborative Robot for Remote Dementia Care in Home Environments
As a senile chronic, progressive and currently incurable disease, dementia has an enormous impact on society and life quality of the elderly. The development of teleoperation technology has changed the traditional way of care delivery and brought a variety of... Read more
Published Articles
Development of a Patch-type Flexible Oxygen Partial Pressure Sensor
Oxygen concentration in living organisms is one of the important vital indicators in emergency care and bedside medical settings. However, the oximetry method has limitations: the measurement site is limited to the tissue containing blood and the absolute value of... Read more
Published Articles
Total iron measurement in human serum with a novel smartphone-based assay
Abnormally low or high blood iron levels are common health conditions worldwide and can seriously affect an individual’s overall well-being. A low-cost point-of-care technology that measures blood iron markers with a goal of both preventing and treating iron-related disorders represents... Read more
Published Articles
Rapid, low-cost dielectrophoretic diagnosis of bladder cancer in a clinical setting
Bladder cancer is the 9th most common cancer worldwide. Diagnosing bladder cancer typically involves highly invasive cystoscopy, with followup monitored using uteroscopy. Molecular methods have been developed as an adjunct to this, but tend to be expensive or require expert... Read more
Published Articles
BioMeT and Algorithm Challenges: A Proposed Digital Standardized Evaluation Framework
Technology is advancing at an extraordinary rate. Continuous flows of novel data are being generated with the potential to revolutionize how we better identify, treat, manage, and prevent disease across therapeutic areas. However, lack of security of confidence in digital... Read more
Published Articles
DFENet: Deep Feature Enhancement Network for Accurate Calculation of Instantaneous Wave-Free Ratio
Accurate iFR calculation can provide important clinical information for intracoronary functional assessment without administration of adenosine, which needs to locate object points in the pressure waveforms: peak, the dichrotic notch and the pressure nadir at the end of diastole. We... Read more
Published Articles
Unified Open Hardware Platform for Digital X-Ray Devices; its Conceptual Model and First Implementation
Digital radiography devices are still the gold standard for diagnosis or therapy guidance in medicine. Despite the similarities between all direct digital x-ray systems, researchers and new companies face significant challenges during the development phase of innovative x-ray devices; each... Read more
Published Articles
Convex Representations Using Deep Archetypal Analysis for Predicting Glaucoma
The purpose of this study was to identify clinically relevant patterns of glaucomatous vision loss through convex representation to predict glaucoma several years prior to disease onset. Methods: We developed a deep archetypal analysis to identify patterns of glaucomatous vision... Read more