Ahmed, Aiman Abdulrahman and Zakaria, Zulkarnay and Ali, Marwah Hamood and Pusppanathan, Jaysuman and Mohd. Mhji, Siti Zarina and Mohd. Noor, Anas and Rahiman, Mohd. Hafiz Fazalul and Hassan, Muhamad Khairul Ali and Safar, Muhammad Juhairi Aziz and Salleh, Ahmed Faizal (2020) An overview of medical applications in meningitis detection. In: 2nd Joint Conference on Green Engineering Technology and Applied Computing 2020, IConGETech 2020 and International Conference on Applied Computing 2020, ICAC 2020, 4 February 2020 - 5 February 2020, Bangkok, Thailand.
|
PDF
332kB |
Official URL: http://dx.doi.org/10.1088/1757-899X/864/1/012156
Abstract
Meningitis remains one of the common infections among young children with high morbidity and mortality rates. In Southeast Asian, only few studies were reported published which evaluated meningitis clinically in the last two decades. Similarly, few studies in Malaysia evaluated meningitis among adolescents and children. Globally, more than one million cases with 135,000 deaths has been recorded yearly, and in Malaysia, severe neurological complications occurs in 9-25% of cases which affirms the most serious risk manifests from bacterial meningitis. Therefore, early detection and effective treatment are required before the irreversible damages occur. This paper reviews the current states and perspectives of diagnostic techniques on meningitis detection. Currently, there are three diagnostic techniques available for meningitis detection, such as blood cultures, spinal tap (lumbar puncture), and imaging techniques (CT scan, MRI, EIT, Ultrasonography, Nuclear imaging and X-ray). However, these techniques have limitations that may limit the chances of carrying out the early detection of the disease. The essence of this review is that meningitis requires an effective technique that is capable of carrying out the early detection of the disease by differentiating normal people and Meningitis infected patients so as to promote longevity worldwide. In this review magnetic induction tomography (MIT) technique is proposed to diagnose meningitis earlier as it is non-intrusive, non-invasive, contactless, and electrode-less imaging technique which does not expose the patients to a harmful radiation.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Uncontrolled Keywords: | meningitis, early detection |
Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Electrical Engineering |
ID Code: | 93571 |
Deposited By: | Yanti Mohd Shah |
Deposited On: | 30 Nov 2021 08:33 |
Last Modified: | 30 Nov 2021 08:33 |
Repository Staff Only: item control page