Towards Electroencephalography-based Approach in Nigeria, Challenges and Application

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 specialized 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 EEGbased approaches, addressing cultural and societal concerns, and establishing data quality standards are crucial steps towards successful implementation. In conclusion, while EEGbased 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.