Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Beena, Ahmed"'
Publikováno v:
Sensors, Vol 23, Iss 2, p 899 (2023)
The electroencephalogram (EEG) signal is a key parameter used to identify the different sleep stages present in an overnight sleep recording. Sleep staging is crucial in the diagnosis of several sleep disorders; however, the manual annotation of the
Externí odkaz:
https://doaj.org/article/b3887cbe60fc41e8b88453fdf27f507d
Publikováno v:
International Journal of Speech-Language Pathology. :1-15
Autor:
Kayla Caughlin, Elvis Duran-Sierra, Shuna Cheng, Rodrigo Cuenca, Beena Ahmed, Jim Ji, Mathias Martinez, Moustafa Al-Khalil, Hussain Al-Enazi, Yi-Shing Lisa Cheng, John Wright, Javier A. Jo, Carlos Busso
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 27:457-468
Deep learning approaches for medical image analysis are limited by small data set size due to multiple factors such as patient privacy and difficulties in obtaining expert labelling for each image. In medical imaging system development pipelines, pha
Autor:
Jacqueline McKechnie, Mostafa Shahin, Beena Ahmed, Patricia McCabe, Joanne Arciuli, Kirrie J. Ballard
Publikováno v:
Brain Sciences, Vol 11, Iss 11, p 1408 (2021)
Childhood apraxia of speech (CAS) commonly affects the production of lexical stress contrast in polysyllabic words. Automated classification tools have the potential to increase reliability and efficiency in measuring lexical stress. Here, factors af
Externí odkaz:
https://doaj.org/article/9074669058b6492e8f68735468b0a6aa
Publikováno v:
Sensors, Vol 15, Iss 2, Pp 3379-3408 (2015)
Driven by the development of biomedical sensors and the availability of high mobile bandwidth, mobile health (mHealth) systems are now offering a wider range of new services. This revolution makes the idea of in-home health monitoring practical and p
Externí odkaz:
https://doaj.org/article/ae0aa0f4cb2a47568155fe23916dc639
Publikováno v:
Interspeech 2022.
Autor:
Ricardo Gutierrez-Osuna, Kirrie J. Ballard, Adam Hair, Jacqueline McKechnie, Penelope Monroe, Beena Ahmed, Constantina Markoulli
Publikováno v:
ACM Transactions on Accessible Computing. 14:1-26
Digital games can make speech therapy exercises more enjoyable for children and increase their motivation during therapy. However, many such games developed to date have not been designed for long-term use. To address this issue, we developed Apraxia
Publikováno v:
IEEE Transactions on Affective Computing. 11:519-531
Biofeedback games are an attractive alternative to standard techniques for learning short-term relaxation skills. In this paper, we present the design, implementation, and evaluation of three respiratory biofeedback games. To validate these games, we
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. 14:400-412
Given the limited accessibility to Speech and Language Pathologists (SLPs) children in need often have, pediatric Computer-Aided Speech Therapy (CAST) tools can play an important role in the early diagnosis and treatment of speech disorders. However,
Autor:
Elvis Duran, Shuna Cheng, Rodrigo Cuenca, Beena Ahmed, Jim Ji, Vladislav V. Yakovlev, Mathias Martinez, Moustafa Al-Khalil, Hussain Al-Enazi, Y.S. Lisa Cheng, John Wright, Carlos Busso, Javier A. Jo
Publikováno v:
Imaging, Therapeutics, and Advanced Technology in Head and Neck Surgery and Otolaryngology 2022.