Monitoring – EMBS

Featured Articles

Deep Learning for Accelerometric Data Assessment and Ataxic Gait Monitoring

Aleš Procházka, Ondřej Dostál, Pavel Cejnar, Hagar Ibrahim Mohamed, Zbyšek Pavelek, Martin Vališ, Oldřich Vyšata

Ataxic gait monitoring and assessment of neurological disorders belong to important multidisciplinary areas that are supported by digital signal processing methods and machine learning tools. This paper presents the possibility of using accelerometric data to optimise deep learning convolutional neural... Read more

Posted on 26 MAR 2021

Articles

Detecting effect of levodopa in Parkinson’s disease patients using sustained phonemes

Nemuel D. Pah, Mohammod A. Motin, Peter Kempster, Dinesh Kumar

Background: Parkinson’s disease (PD) is a multi-symptom neurodegenerative disease generally managed with medications, of which levodopa is the most effective. Determining the dosage of levodopa requires regular meetings where motor function can be observed. Speech impairment is an early symptom... Read more

Posted on 18 MAR 2021

Articles

Design, Simulation, and Development of a BioSensor for Viruses Detection using FPGA

Mohammed Abdallah

Abstract:Objective: Impedance based biosensing provides a unique, highly sensitive electrical approach to biomolecule detection, cell growth, and other biological events. To date, an impedance change due to the cell growth has been considered as a solution to detect some changes... Read more

Posted on 2 FEB 2021

Articles

Assessment of residual radioactivity by a comprehensive wireless, wearable device in thyroid cancer patients undergoing radionuclide therapy and comparison with the results of a home device: a feasibility study

R. Gallachio, D. Scapicchio, A. Nardelli, T. Pellegrino, M. Prisco, P. Mainenti, C. Sirignano, P. Pedicini, G. Storto

Objective: To investigate the feasibility of using a wireless wearable device (WD) in differentiated thyroid cancer (DTC) patients undergoing radionuclide therapy with I-131 (RAI) and protected hospitalization, this study compared the measurements of residual radioactivity obtained with those registered by... Read more

Posted on 3 DEC 2020

Articles

Side-Channel Sensing: Exploiting Side-Channels to Extract Information for Medical Diagnostics and Monitoring

Aaron Spence, Shaun Bangay

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... Read more

Posted on 7 OCT 2020

Articles

COVID-19 Artificial Intelligence Diagnosis using only Cough Recordings

Jordi Laguarta, Ferran Hueto, Brian Subirana

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

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... Read more

Posted on 17 AUG 2020

Transactions on Neural Systems and Rehabilitation Engineering