Zobrazeno 1 - 10
of 160
pro vyhledávání: '"Emmanuel Agu"'
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 5, Pp 404-420 (2024)
Goal: Augment a small, imbalanced, wound dataset by using semi-supervised learning with a secondary dataset. Then utilize the augmented wound dataset for deep learning-based wound assessment. Methods: The clinically-validated Photographic Wound Asses
Externí odkaz:
https://doaj.org/article/0dd534e396e0400a8669feb4673feb1a
Autor:
Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke Rundensteiner, Angela Incollingo Rodriguez
Publikováno v:
Visual Informatics, Vol 7, Iss 2, Pp 13-29 (2023)
Digital phenotyping is the characterization of human behavior patterns based on data from digital devices such as smartphones in order to gain insights into the users’ state and especially to identify ailments. To support supervised machine learnin
Externí odkaz:
https://doaj.org/article/7e3973d0c30e44f0a51747b42c9ef0f4
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 3, Pp 189-201 (2022)
Motivation: Infection (bacteria in the wound) and ischemia (insufficient blood supply) in Diabetic Foot Ulcers (DFUs) increase the risk of limb amputation. Goal: To develop an image-based DFU infection and ischemia detection system that uses deep lea
Externí odkaz:
https://doaj.org/article/ff38f2524f19447eaad5412a9876e9aa
Autor:
Hamid Mansoor, Walter Gerych, Abdulaziz Alajaji, Luke Buquicchio, Kavin Chandrasekaran, Emmanuel Agu, Elke Rundensteiner
Publikováno v:
Visual Informatics, Vol 5, Iss 3, Pp 39-53 (2021)
Human Bio-Behavioral Rhythms (HBRs) such as sleep-wake cycles (Circadian Rhythms), and the degree of regularity of sleep and physical activity have important health ramifications. Ubiquitous devices such as smartphones can sense HBRs by continuously
Externí odkaz:
https://doaj.org/article/f83daaf599454f3e9241f1b564042ba7
Autor:
Ana M Abrantes, Lidia Z Meshesha, Claire E Blevins, Cynthia L Battle, Clifford Lindsay, Eliza Marsh, Sage Feltus, Matthew Buman, Emmanuel Agu, Michael Stein
Publikováno v:
JMIR Formative Research, Vol 6, Iss 10, p e35926 (2022)
BackgroundAlcohol use disorder (AUD) is a significant public health concern worldwide. Alcohol consumption is a leading cause of death in the United States and has a significant negative impact on individuals and society. Relapse following treatment
Externí odkaz:
https://doaj.org/article/0829a9201fe5447eb340a2671acc8343
Autor:
Marie Aline Sillice, Michael Stein, Cynthia L Battle, Lidia Z Meshesha, Clifford Lindsay, Emmanuel Agu, Ana M Abrantes
Publikováno v:
JMIR Formative Research, Vol 6, Iss 8, p e32768 (2022)
BackgroundAlcohol use disorder (AUD) is associated with severe chronic medical conditions and premature mortality. Expanding the reach or access to effective evidence-based treatments to help persons with AUD is a public health objective. Mobile phon
Externí odkaz:
https://doaj.org/article/c16c5bd743b041e6ba044d45e262233a
Autor:
Abdulaziz Alajaji, Walter Gerych, Luke Buquicchio, Kavin Chandrasekaran, Hamid Mansoor, Emmanuel Agu, Elke Rundensteiner
Publikováno v:
Sensors, Vol 23, Iss 6, p 3081 (2023)
Human context recognition (HCR) using sensor data is a crucial task in Context-Aware (CA) applications in domains such as healthcare and security. Supervised machine learning HCR models are trained using smartphone HCR datasets that are scripted or g
Externí odkaz:
https://doaj.org/article/533c96b7dded4e0eaac2859596dc87ad
Autor:
Ruojun Li, Ganesh Prasanna Balakrishnan, Jiaming Nie, Yu Li, Emmanuel Agu, Kristin Grimone, Debra Herman, Ana M. Abrantes, Michael D. Stein
Publikováno v:
IEEE Access, Vol 9, Pp 61237-61255 (2021)
Driving is a dynamic activity, which requires quick reflexes and decision making in order to respond to sudden changes in traffic conditions. Alcohol consumption impairs motor and cognitive skills, and causes many driving-related accidents annually.
Externí odkaz:
https://doaj.org/article/6409046fa18c4f09bd54f1c5c76dd64d
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 2, Pp 224-234 (2021)
Goal: Chronic wounds affect 6.5 million Americans. Wound assessment via algorithmic analysis of smartphone images has emerged as a viable option for remote assessment. Methods: We comprehensively score wounds based on the clinically-validated Photogr
Externí odkaz:
https://doaj.org/article/128466a0897a4795bd42efbf9f8fb9e7
Publikováno v:
IEEE Access, Vol 9, Pp 38891-38906 (2021)
The risk of COVID-19 transmission increases when an uninfected person is less than 6 ft from an infected person for longer than 15 minutes. Infectious disease experts working on the COVID-19 pandemic call this high-risk situation being Too Close for
Externí odkaz:
https://doaj.org/article/f59a921ac1ab47188546617f6ad05ae3