Research output per year
Research output per year
Personal profile
Biography
IDONGESIT EKERETE (Member, IEEE) received his B.Eng. degree in Electrical/Electronic Engineering from the University of Uyo, Nigeria, in 2011. From 2012 to 2013, he was trained as an Instrument and Control Systems Engineer at Shell Petroleum Development Company of Nigeria. He received the M.Sc. degree in Biomedical Engineering from the University of Strathclyde, United Kingdom, in 2017. He was a Lecturer at the Department of Electrical/Electronic Engineering, University of Uyo, Nigeria, from 2011 to 2021. He is currently a Lecturer and Researcher in Computing Science at the School of Computing, Ulster University, United Kingdom. His research interests include the use of unobtrusive sensing solutions for privacy-friendly home-based monitoring; activities and rehabilitation exercises monitoring; sensor fusion and data mining. Other interests include point-of-care medical devices, pervasive computing, and control systems engineering.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Analysis of Accelerometer Data for Personalised Abnormal Behaviour Detection in Activities of Daily Living
Garcia-Constantino, M., Konios, A., Lopez-Nava, I. H., Pouliet, P., Ekerete, I., Mustafa, M., Nugent, C. & Morrison, G., 21 Nov 2022, (Published online) Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022). Bravo, J., Ochoa, S. & Favela, J. (eds.). Springer Cham, Vol. 594. p. 302-313 12 p. (Lecture Notes in Networks and Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Analysis of Apps With a Medication List Functionality for Older Adults With Heart Failure Using the Mobile App Rating Scale and the IMS Institute for Healthcare Informatics Functionality Score: Evaluation Study
Diaz-Skeete, Y., McQuaid, D., Akinosun, A., Ekerete, I., Carragher, N. & Carragher, L., 2 Nov 2021, In: JMIR mHealth and uHealth. 9, 11, p. 1-12 12 p., e30674.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Citations (Scopus)30 Downloads (Pure) -
Fusion of Unobtrusive Sensing Solutions for Home-Based Activity Recognition and Classification using Data Mining Models and Methods
Ekerete, I., Garcia-Constantino, M., Konios, A., Mustafa, M., Diaz, Y., Nugent, C. & McLaughlin, J., 29 Sep 2021, In: Applied Sciences. 11, 19, p. 1-17 17 p., applsci-1390601).Research output: Contribution to journal › Article › peer-review
Open AccessFile23 Downloads (Pure) -
Fusion of Unobtrusive Sensing Solutions for Sprained Ankle Rehabilitation Exercises Monitoring in Home Environments
Ekerete, I., Garcia-Constantino, M., Diaz-Skeete, Y., Nugent, CD. & McLaughlin, J., 13 Nov 2021, (Published online) In: Sensors. 21, 22, p. 1-17 17 p., 7560.Research output: Contribution to journal › Article › peer-review
Open AccessFile40 Downloads (Pure) -
Data Mining and Fusion of Unobtrusive Sensing Solutions for Indoor Activity Recognition
Ekerete, I., Garcia-Constantino, M., Diaz, Y., Giggins, O., Mustafa, M., Konios, A., Pouliet, P. & McLaughlin, J., 27 Aug 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE Xplore, p. 5357-5361 5 p. 9175896. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; vol. 2020-July).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Citations (Scopus)
Thesis
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Unobtrusive sensing solutions for home-based monitoring
Author: Ekerete, I., Dec 2021Supervisor: Nugent, C. (Supervisor), Mc Laughlin, J. (Supervisor) & Mc Clean, S. (Supervisor)
Student thesis: Doctoral Thesis