Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Emmanuel O. Agu"'
Publikováno v:
IEEE Access, Vol 11, Pp 50671-50688 (2023)
The types of Activities of Daily Living (ADL) a person performs or avoids, and underlying patterns can provide insights into physical and mental health, making passive ADL recognition from smartphone sensor data important. However, as people perform
Externí odkaz:
https://doaj.org/article/a25ffaff7781422180b7ff320e865dd0
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 4, Pp 21-30 (2023)
Goal: To investigate whether a deep learning model can detect Covid-19 from disruptions in the human body's physiological (heart rate) and rest-activity rhythms (rhythmic dysregulation) caused by the SARS-CoV-2 virus. Methods: We propose CovidRhythm,
Externí odkaz:
https://doaj.org/article/fb139d112a1e424ea6fe6ca93f2d6b38
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 2, Pp 304-313 (2021)
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 diseases such as
Externí odkaz:
https://doaj.org/article/30cf42162f34496db8a6a11b22a9a1a1
Autor:
Wen Ge, Emmanuel O. Agu
Publikováno v:
2022 IEEE 16th International Conference on Semantic Computing (ICSC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e567849be837c7ad0bd1f110f4e6f100
https://doi.org/10.1109/icsc52841.2022.00014
https://doi.org/10.1109/icsc52841.2022.00014
Publikováno v:
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6101f8934fcd53fcc4ecb67712aa56a0
https://doi.org/10.1109/icmla52953.2021.00239
https://doi.org/10.1109/icmla52953.2021.00239
Publikováno v:
Smart Health. 26:100344
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01351e7e1f82776a27b02f31997c05ff
https://doi.org/10.1016/j.smhl.2022.100344
https://doi.org/10.1016/j.smhl.2022.100344