Work place: Department of Computer Science, Federal University of Technology, Minna, Nigeria
E-mail: o.ojerinde@futminna.edu.ng
Website:
Research Interests: Computational Engineering, Engineering
Biography
Dr. Oluwaseun A. Ojerinde is a lecturer in the Department of Computer Science in the School of Information and Computer Technology in Federal University of Technology, Minna. He bagged his B.Sc. in Computer Technology at Babcock University in 2006. He received his M.Sc. in Mobile Communication System from Loughborough University in 2008. He also obtained his PhD in Mobile Communication System from Loughborough University in 2014. His research area is in Antenna, On-body systems, Multiple Input Multiple Output (MIMO) systems, spanning, Telecommunications, Networking and Radiation. He has worked on the effects of metallic objects on radiation for mobile devices. He is a member of IEEE and IET.
By Iroju Olaronke Ojerinde Oluwaseun Ikono Rhoda
DOI: https://doi.org/10.5815/ijieeb.2017.03.06, Pub. Date: 8 May 2017
In general, the applications of robots have shifted rapidly from industrial uses to social uses. This provides robots with the ability to naturally interact with human beings and socially fit into the human environment. The deployment of social robots in the healthcare system is becoming extensive as a result of the shortage of healthcare professionals, rising costs of healthcare and the exponential growth in the number of vulnerable populations such as the sick, the aged and children with developmental disabilities. Consequently, social robots are used in healthcare for providing health education and entertainment for patients in the hospital and for providing aids for the sick and aged. They are also used for dispensing drugs and providing rehabilitation as well as emotional and aging care. Hence, social robots improve the efficiency and quality of healthcare services. The interaction between social robots and human beings is known as human-robot interaction. Human-robot interaction in healthcare is faced with numerous challenges such as the fear of displacement of caregivers by robots, safety, usefulness, acceptability as well as appropriateness. These challenges ultimately lead to a low rate of acceptance of the robotic technology. Consequently, this paper extensively appraises human-robot interaction in healthcare, their applications and challenges. Design, ethical and usability issues such as privacy, trust, safety, users’ attitude, culture, robot morphology as well as emotions and deception arising from the interaction between humans and robots in healthcare are also reviewed in this paper.
[...] Read more.By Iroju Olaronke Ojerinde Oluwaseun
DOI: https://doi.org/10.5815/ijmecs.2016.10.03, Pub. Date: 8 Oct. 2016
There is a rapid increase in the demand of healthcare resources in Nigeria mainly healthcare personnel and healthcare facilities. This is due to the prevalence of chronic diseases such as endemic malaria, arthritis, hypertension, diabetes; an upsurge in the rate of avoidable deaths as well as an exponential increase in the population. However, healthcare resources in Nigeria are insufficient. For instance, in recent times, the ratio of doctors to the inhabitants is 1: 4,857. Moreover, more than 60% of the Nigerian populace resides in rural areas where there are extreme shortages of healthcare practitioners and healthcare facilities due to geographical isolation and lack of opportunities. Hence, the low ratio of healthcare practitioners to patients causes a heavy workload on the healthcare practitioners. This however leads to medical errors as healthcare providers work under intense pressure to attend to the medical needs of their patients. This in turns leads to considerable loss of lives. In order to ameliorate this situation, this paper proposes an ontology based framework that will enable healthcare providers in Nigeria to continuously monitor their patients’ health remotely outside the settings of the hospital. This will reduce the workload of the healthcare providers, assist them in decision making process as well as reduce the long waiting hours of the patients within the hospital environment. This framework is also designed to tackle the challenge of semantic interoperability facing healthcare systems around the globe.
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