IEEE Journal of Translational Engineering in Health and Medicine
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...
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Posted on 7 OCT 2020
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...
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Posted on 30 SEP 2020
Articles
Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic?
Catherine P. Adans-Dester, Stacy Bamberg, Francesco Bertacchi, Brian Caulfield, Kara Chappie, Danilo Demarchi, M. Kelley Erb, Juan Estrada, Eric Fabara, Michael Freni, E. Karl Friedl, Roozbeh Ghaffari, Geoffrey Gill, Mark S. Greenberg, Reed W. Hoyt, Emil Jovanov, Christoph Kanzler, Dina Katabi, Meredith Kernan, Colleen Kigin, Sunghoon Ivan Lee, Steffen Leonhardt, Nigel Hamilton Lovell, Jose Mantilla, Thomas H. McCoy, Nell Meosky Luo, Glenn A. Miller, John Moore, Derek O'Keeffe, Jeffrey Palmer, Federico Parisi, Shyamal Patel, Ming Jack Po, Benito L. Pugliese, Thomas Quatieri, Tauhidur Rahman, Nathan Ramasarma, John A. Rogers, Guillermo U. Ruiz-Esparza, Stefano Sapienza, Gregory Schiurring, Lee Schwamm, Hadi Shafiee, Sara Kelly Silacci, Nathaniel M. Sims, Tanya Talkar, William J. Tharion, James A. Toombs, Christopher Uschnig, Gloria Vergara, Paul Wacnik, May D. Wang, James Welch, Lina Williamson, Ross Zafonte, Adrian Zai, Yuan-Ting Zhang, Guillermo J. Tearney, Rushdy Ahmad, David R. Walt, Paolo Bonato
Goal: The aim of the study herein reported was to review mobile health (mHealth) technologies and explore their use to monitor and mitigate the effects of the COVID-19 pandemic. Methods: A Task Force was assembled by recruiting individuals with expertise...
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Posted on 17 AUG 2020
Featured Articles
Real-time Radiofrequency Ablation Lesion Depth Estimation Using Multi-Frequency Impedance with a Deep Neural Network and Tree-based Ensemble
A combination of different machine learning algorithms and a hardware setup that consists of an embedded system and a 3D-printed electrode device is used to monitor the progress of radiofrequency ablation depth on a perfused breast tissue model. The device at the center of the tissue model both applied the alternating current and collected the tissue impedance data at multiple frequencies, which is fed into tree-based ensemble (TE) models and a deep neural network (DNN). Their predictions showed a mean difference against physical measurements of 0.5 mm for the DNN and 0.7 mm for the TEs...
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Posted on 30 JUN 2020
Articles, Published Articles
Non-contact Early Warning of Shaking Palsy
Xiaodong Yang, Dou Fan, Aifeng Ren, Nan Zhao, Zhiya Zhang, Daniyal Haider, Muhammad Bilal Khan, Jie Tian
Abstract
Objective: Parkinsonian gait is a defining feature of Shaking Palsy (SP) and it has one of the worse impact on human healthy life than other SP symptoms. The objective of this work is to propose a Parkinsonian gait detection system...
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Posted on 18 JUN 2019
Featured Articles
Wearable Devices for Precision Medicine and Health State Monitoring
A key requirement for precision medicine is the ability to define clinically-relevant subgroups that enable improved patient management as well as the elucidation of disease mechanisms. The ability to define subgroups requires measurements with high information content and with a...
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Posted on 1 MAY 2019
Articles, Published Articles
Fracture Healing Monitoring by Impact Tests: Single Case Study of a Fractured Tibia with External Fixator
Abstract:
The correct evaluation of the healing process is important to define proper times of fixator dynamization and removal, avoiding refractures. Unfortunately, a quantitative healing assessment is not yet available in clinical practice. The aim of the paper is to prove...
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Posted on 27 MAR 2019
Articles, Published Articles
Transcranial Impedance Changes during Sleep: a Rheoencephalography Study
Abstract
Objective: To demonstrate the utility of rheoencephalography (REG) for measuring cerebral blood flow and fluid dynamics during different stages of sleep. Methods: Anteroposterior cranial electrical impedance was measured with concurrent polysomnography in a group of healthy subjects during sleep. Transcranial...
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Posted on 13 FEB 2019
Articles, Published Articles
Use of Accelerometry for Long Term Monitoring of Stroke Patients
Abstract
Stroke patients are monitored hourly by physicians and nurses in an attempt to better understand their physical state. To quantify the patients’ level of mobility, hourly movement (i.e. motor) assessment scores are performed, which can be taxing and time-consuming for...
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Posted on 5 FEB 2019
Articles, Published Articles
Sleep Apnea Syndrome Sensing at C-Band
Xiaodong Yang, Dou Fan, Aifeng Ren, Nan Zhao, Zhiya Zhang, Fangming Hu, Weigang Wang, Masood Ur Rehman, Jie Tian
A non-intrusive sleep apnea detection system using a C-Band channel sensing technique is proposed to monitor sleep apnea syndrome in real time. The system utilizes perturbations of RF signals to differentiate between patient’s breathing under normal and sleep apnea conditions....
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Posted on 26 NOV 2018