Towards EEG-Based Approach in Nigeria, Challenges and Application
Keywords:
EEG, EEG-Based approach, EEG Technology Word Count: 247Abstract
Electroencephalography (EEG) is a non-invasive neuroimaging technique that
measures electrical activity in the brain. It has gained considerable attention
in recent years due to its potential applications in various fields, including
healthcare, neurology, and cognitive neuroscience. However, the successful
implementation of EEG-based approaches poses several challenges that need
to be addressed. This abstract focuses on exploring the challenges associated
with EEG-based approaches and their application in Nigeria. The challenges
include limited resources and infrastructure, lack of specialised training,
cultural and societal factors, and data quality issues. These challenges can
hinder the widespread adoption and effective utilization of EEG technology in
the Nigerian context. Despite these challenges, EEG-based approaches hold
significant promise in various applications within Nigeria. The potential
applications include diagnosing and monitoring neurological disorders, studying
cognitive processes, investigating mental health conditions, and developing
brain-computer interface systems. To address the challenges, collaborative
efforts between researchers, healthcare professionals, and policymakers are
essential. Investments in infrastructure, training programs, and research
funding can help overcome resource limitations and promote the adoption of
EEG technology. Additionally, raising awareness about the benefits of EEG based approaches, addressing cultural and societal concerns, and establishing data quality standards are crucial steps towards successful implementation. In
conclusion, while EEG-based approaches face challenges in Nigeria, they offer
immense potential for advancing healthcare and neuroscience research.
Overcoming these challenges through concerted efforts will pave the way for
the widespread adoption and effective application of EEG technology in
Nigeria, leading to improved diagnosis, treatment, and understanding of brain related conditions.