Author(s)3: Apiwat Ditthapron, Emmanuel O Agu, Adam C Lammert
Privacy-Preserving Deep Speaker Separation for Smartphone-Based Passive Speech Assessmenthttps://www.embs.org/ojemb/wp-content/themes/movedo/images/empty/thumbnail.jpg150150IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)//www.embs.org/ojemb/wp-content/uploads/sites/20/2022/06/ieee-ojemb-logo2x.png
Goal: Smartphones can be used to passively assess and monitor patients’ speech impairments caused by ailments such as Parkinson’s disease, Traumatic Brain Injury (TBI), Post-Traumatic Stress Disorder (PTSD) and neurodegenerative…
Author(s)3: Metin Akay, Yong Du, Cheryl L Sershen, Minghua Wu, Ting Y Chen, Shervin Assassi, Chandra Mohan, Yasemin M. Akay
Deep Learning Classification of Systemic Sclerosis Skin using the MobileNetV2 Modelhttps://www.embs.org/ojemb/wp-content/themes/movedo/images/empty/thumbnail.jpg150150IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)//www.embs.org/ojemb/wp-content/uploads/sites/20/2022/06/ieee-ojemb-logo2x.png
Systemic sclerosis (SSc) is a rare autoimmune, systemic disease with prominent fibrosis of skin and internal organs. Early diagnosis of the disease is crucial for designing effective therapy and management…
Author(s)3: Gadi Pinkas, Yarden Karny, Aviad Malachi, Galia Barkai, Gideon Bachar, Vered Aharonson
SARS-CoV-2 Detection from Voicehttps://www.embs.org/ojemb/wp-content/themes/movedo/images/empty/thumbnail.jpg150150IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)//www.embs.org/ojemb/wp-content/uploads/sites/20/2022/06/ieee-ojemb-logo2x.png
Abstract: Automated voice-based detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) could facilitate the screening for COVID19. A dataset of cellular phone recordings from 88 subjects was recently collected.…
Author(s)3: 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
Can mHealth Technology Help Mitigate the Effects of the COVID-19 Pandemic?https://www.embs.org/ojemb/wp-content/uploads/sites/20/2020/08/Can-mhealth.png200200IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)//www.embs.org/ojemb/wp-content/uploads/sites/20/2022/06/ieee-ojemb-logo2x.png
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.
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