IEEE Journal of Translational Engineering in Health and Medicine

Articles
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
Articles
A Pervasive Respiratory Monitoring Sensor for COVID-19 Pandemic
Goal: The SARS-CoV-2 viral infection could cause severe acute respiratory syndrome disturbing the regular breathing and leading to continuous coughing. Automatic respiration monitoring systems could provide the necessary metrics and warnings for timely intervention, especially for those with mild symptoms.... Read more
Articles
COVID-19 Artificial Intelligence Diagnosis using only Cough Recordings
Abstract: Goal: We hypothesized that COVID-19 subjects, especially including asymptomatics, could be accurately discriminated only from a forced-cough cell phone recording using Artificial Intelligence. To train our MIT Open Voice model we built a data collection pipeline of COVID-19 cough recordings... 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
Articles, Published Articles
Mastication Evaluation with Unsupervised Learning: Using an Inertial Sensor-Based System
     Abstract There is a direct relationship between the prevalence of musculoskeletal disorders of the temporomandibular joint and orofacial disorders. A well-elaborated analysis of the jaw movements provides relevant information for healthcare professionals to conclude their diagnosis. Different approaches have been explored... Read more
Featured Articles
Improvement of Pyramidal Tract Side Effect Prediction Using a Data-Driven Method in Subthalamic Stimulation
Subthalamic nucleus deep brain stimulation (STN DBS) is limited by the occurrence of pyramidal tract side effect (PTSE) induced by electrical activation of the pyramidal tract. Predictive models are needed to assist the surgeon during the electrode trajectory pre-planning. The... Read more