Fusion: Practice and Applications

Journal DOI

https://doi.org/10.54216/FPA

Submit Your Paper

2692-4048ISSN (Online) 2770-0070ISSN (Print)

Volume 10 , Issue 1 , PP: 100-115, 2023 | Cite this article as | XML | Html | PDF | Full Length Article

Comparison of Epilepsy Induced by Ischemic Hypoxic Brain Injury and Hypoglycemic Brain Injury using Multilevel Fusion of Data Features

Sameer Kadem 1 * , Noor Sami 2 , Ahmed Elaraby 3 , Shahad Alyousif 4 , Mohammed Jalil 5 , M. Altaee 6 , Muntather Almusawi 7 , Ismaeel, A. Ghany 8 , Ali Kamil Kareem 9 , Massila Kamalrudin 10 , Adnan Allwi ftaiet 11

  • 1 Dijlah University College,Baghdad, Iraq - (Sameer.kadhum@duc.edu.iq)
  • 2 Department of computer engineering techniques, Mazaya University College, Th Qar, Iraq - (noora.sami@yahoo.com)
  • 3 Department of Computer science, Faculty of computer science and information, South Valley University,Qena, Egypt; Department Of Cybersecurity, College of Engineering and Information Technology, Buraydah Private - (ahmed.elaraby@svu.edu.eg)
  • 4 Department of Electrical and Electronic Engineering, College of Engineering, Gulf University, Sanad 26489, Kingdom of Bahrain; Research centre, Northampton university, faculty of engineering, department of electrical and electronics engineering, University Drive Northampton NN1 5PH, UK - (Dr.shahad.alyousif@gulfuniversity.edu.bh)
  • 5 Department of computer science, Alturath University College, Baghdad, Iraq - (mohammed.jalil@turath.edu.iq)
  • 6 Department of medical engineering techniques, Alfarahidi University, Baghdad, Iraq - (m.altaa@alfarahidiuc.edu.iq)
  • 7 College of technical engineering, The Islamic University, Najaf, Iraq - (Muntather.almusawi@iunajaf.edu.iq)
  • 8 Computer Technology Engineering, College of Engineering Technology, Al-Kitab University, Iraq - (ayad.ghany@uoalkitab.edu.iq)
  • 9 Department of Biomedical Engineering, Al-Mustaqbal University College, 51001 Hillah, Iraq - (ali.kamil.kareem@mustaqbal-college.edu.iq)
  • 10 Faculty of Information & Communication Technology, Universiti Teknikal Malaysia Melaka, 75450 Durian Tunggal, Melaka - ( massila@utem.edu.my)
  • 11 Medical instruments engineering techniques, National University of science and technology, Thi Qar,Iraq - (adnan.alameri@nust.edu.iq)
  • Doi: https://doi.org/10.54216/FPA.100106

    Received: June 21, 2022 Accepted: November 19, 2022
    Abstract

    The study aims to investigate the similarities and differences in the brain damage caused by Hypoxia-Ischemia (HI), Hypoglycemia, and Epilepsy. Hypoglycemia poses a significant challenge in improving glycemic regulation for insulin-treated patients, while HI brain disease in neonates is associated with low oxygen levels. The study examines the possibility of using a combination of medical data and Electroencephalography (EEG) measurements to predict outcomes over a two-year period. The study employs a multilevel fusion of data features to enhance the accuracy of the predictions. Therefore this paper suggests a hybridized classification model for Hypoxia-Ischemia and Hypoglycemia, Epilepsy brain injury (HCM-BI). A Support Vector Machine is applied with clinical details to define the Hypoxia-Ischemia outcomes of each infant. The newborn babies are assessed every two years again to know the neural development results. A selection of four attributes is derived from the Electroencephalography records, and SVM does not get conclusions regarding the classification of diseases. The final feature extraction of the EEG signal is optimized by the Bayesian Neural Network (BNN) to get the clear health condition of Hypoglycemia and Epilepsy patients. Through monitoring and assessing physical effects resulting from Electroencephalography,  The Bayesian Neural Network (BNN) is used to extract the test samples with the most log data and to report hypoglycemia and epilepsy patients non-invasively. The experimental findings demonstrate that the suggested strategy improves accuracy by 95.05% and reduces the error rate to 0.41 when comparing diseases.

    Keywords :

    Hypoxia-Ischemia , Hypoglycemia , Epilepsy , Multilevel Fusion of Data Features , Bayesian Neural Network (BNN) , Support Vector Machine (SVM).

    References

    [1]  Varrassi M, Di Sibio A,  Gianneramo C, Perri M, Saltelli  G, Splendiani A, Masciocchi C. Advanced neuroimaging of carbon monoxide poisoning. The Neuroradiology Journal. 2017 Oct;30(5):461 -9.

    [2]  Rosenberg GA. Neurological diseases about the blood–brain barrier. Journal of Cerebral Blood Flow & Metabolism. 2012 Jul;32(7):1139-51.

    [3]  Mergenthaler  P,  Lindauer  U,  Dienel  GA,  Meisel  A.  Sugar  for  the  brain:  the  role  of  glucose  in physiological and pathological brain function. Trends in neurosciences. 2013 Oct 1;36(10):587 -97.

    [4]  Ainslie PN,  Shaw  AD, Smith KJ, Willie  CK, Ikeda K,  Graham J, Macleod DB. Stability of cerebral metabolism and substrate availability in humans during hypoxia and hyperoxia. Clinical Science. 2014 May 1;126(9):661-70.

    [5]  Boussi-Gross  R,  Golan  H,  Fishlev  G,  Bechor  Y,  Volkov  O,  Bergan  J,  Friedman  M,  Hoofien  D, Shlamkovitch  N,  Ben-Jacob  E,  Efrati  S.  Hyperbaric  oxygen  therapy  can  improve  post  concussion syndrome  years  after  mild  traumatic  brain  injury-randomized  prospective  trial.  PloS  one.  2013  Nov 15;8(11):e79995.

    [6]  Zahraa  Faiz  Hussain,  &  Hind  Raad  Ibraheem.  (2023).  Novel  Convolutional  Neural  Networks  based Jaya  algorithm  Approach  for  Accurate  Deepfake  Video  Detection.  Mesopotamian  Journal  of CyberSecurity, 2023, 35–39. https://doi.org/10.58496/MJCS/2023/007

    [7]  Spaite  DW,  Hu  C,  Bobrow  BJ,  Chikani  V,  Barnhart  B,  Gaither  JB,  Denninghoff  KR,  Adelson  PD, Keim SM, Viscusi C, Mullins T. The effect of combined out-of-hospital hypotension and hypoxia on mortality in major traumatic brain injury. Annals of emergency medicine. 2017 Jan 1;69(1):62-72.

    [8]  Payne  SJ,  Lucas  C.  Oxygen  delivery  from  the  cerebral  microvasculature  to  tissue  is  governed  by  a single time constant of approximately 6 seconds. Microcirculation. 2018 Feb;25(2):e12428.

    [9]  Puig  B,  Brenna  S,  Magnus  T.  Molecular  communication  of  a  dying  neuron  in  stroke.  International journal of molecular sciences. 2018 Sep;19(9):2834.

    [10]  Kurdi, S.Z., Ali, M.H., Jaber, M.M., Saba, T., Rehman, A. and Damaševičius, R., 2023. Brain Tumor Classification  Using  Meta-Heuristic  Optimized  Convolutional  Neural  Networks. Journal  of Personalized Medicine, 13(2), p.181.

    [11]  Allen  KA,  Brandon  DH.  Hypoxic  ischemic  encephalopathy:  pathophysiology  and  experimental treatments. Newborn and Infant Nursing Reviews. 2011 Sep 1;11(3):125 -33.

    [12]  Muñoz-Durango  N,  Fuentes  CA,  Castillo  AE,  González-Gómez  LM,  Vecchiola  A,  Fardella  CE, Kalergis  AM.  Role  of  the  renin-angiotensin-aldosterone  system  beyond  blood  pressure  regulation: molecular  and  cellular  mechanisms  involved  in  end-organ  damage  during  arterial  hypertension. International Journal of Molecular Sciences. 2016 Jul;17(7):797.

    [13]  Chang T, Jo SH, Lu W. Short-term memory to  long-term memory transition in a nanoscale memristor. ACS nano. 2011 Sep 27;5(9):7669-76.

    [14]  Owen  L,  Sunram-Lea  SI.  Metabolic  agents  that  enhance  ATP  can  improve  cognitive  functioning:  a review  of  the  evidence  for  glucose,  oxygen,  pyruvate,  creatine,  and  L -carnitine.  Nutrients.  2011 Aug;3(8):735-55.

    [15]  McCall  AL.  Insulin  therapy  and  Hypoglycemia.  Endocrinology  and  Metabolism  Clinics.  2012  Mar 1;41(1):57-87.

    [16]  Harteman JC, Nikkels PG, Benders MJ, Kwee A, Groenendaal F, de Vries LS. Placental pathology in full-term  infants  with  hypoxic-ischemic  neonatal  encephalopathy  and  association  with  magnetic resonance imaging pattern of brain injury. The journal of pediatrics. 2013 Oct 1;163(4):968 -75.

    [17]  Ma  H,  Sinha  B,  Pandya  RS,  Lin  N,  Popp  AJ,  Li  J,  Yao  J,  Wang  X.  Therapeutic  hypothermia  as  a neuroprotective strategy in neonatal hypoxic-ischemic brain injury and traumatic brain injury. Current molecular medicine. 2012 Dec 1;12(10):1282-96.

    [18]  Shlosberg D, Benifla M, Kaufer D, Friedman A. Blood–brain barrier breakdown as a therapeutic target in traumatic brain injury. Nature Reviews Neurology. 2010 Jul;6(7):393 -403.

    [19]  Idro R, Marsh K, John CC, Newton CR. Cerebral malaria: mechanisms of brain injury and strategies for the improved neurocognitive outcome. Pediatric research. 2010 Oct;68(4):267 -74.

    [20]  Montassir  H,  Maegaki  Y,  Ohno  K,  Ogura  K.  Long  term  prognosis  of  symptomatic  occipital  lobe epilepsy secondary to neonatal Hypoglycemia. Epilepsy research. 2010 Feb 1;88(2 -3):93-9. 

    Cite This Article As :
    Kadem, Sameer. , Sami, Noor. , Elaraby, Ahmed. , Alyousif, Shahad. , Jalil, Mohammed. , Altaee, M.. , Almusawi, Muntather. , A., Ismaeel,. , Kamil, Ali. , Kamalrudin, Massila. , Allwi, Adnan. Comparison of Epilepsy Induced by Ischemic Hypoxic Brain Injury and Hypoglycemic Brain Injury using Multilevel Fusion of Data Features. Fusion: Practice and Applications, vol. , no. , 2023, pp. 100-115. DOI: https://doi.org/10.54216/FPA.100106
    Kadem, S. Sami, N. Elaraby, A. Alyousif, S. Jalil, M. Altaee, M. Almusawi, M. A., I. Kamil, A. Kamalrudin, M. Allwi, A. (2023). Comparison of Epilepsy Induced by Ischemic Hypoxic Brain Injury and Hypoglycemic Brain Injury using Multilevel Fusion of Data Features. Fusion: Practice and Applications, (), 100-115. DOI: https://doi.org/10.54216/FPA.100106
    Kadem, Sameer. Sami, Noor. Elaraby, Ahmed. Alyousif, Shahad. Jalil, Mohammed. Altaee, M.. Almusawi, Muntather. A., Ismaeel,. Kamil, Ali. Kamalrudin, Massila. Allwi, Adnan. Comparison of Epilepsy Induced by Ischemic Hypoxic Brain Injury and Hypoglycemic Brain Injury using Multilevel Fusion of Data Features. Fusion: Practice and Applications , no. (2023): 100-115. DOI: https://doi.org/10.54216/FPA.100106
    Kadem, S. , Sami, N. , Elaraby, A. , Alyousif, S. , Jalil, M. , Altaee, M. , Almusawi, M. , A., I. , Kamil, A. , Kamalrudin, M. , Allwi, A. (2023) . Comparison of Epilepsy Induced by Ischemic Hypoxic Brain Injury and Hypoglycemic Brain Injury using Multilevel Fusion of Data Features. Fusion: Practice and Applications , () , 100-115 . DOI: https://doi.org/10.54216/FPA.100106
    Kadem S. , Sami N. , Elaraby A. , Alyousif S. , Jalil M. , Altaee M. , Almusawi M. , A. I. , Kamil A. , Kamalrudin M. , Allwi A. [2023]. Comparison of Epilepsy Induced by Ischemic Hypoxic Brain Injury and Hypoglycemic Brain Injury using Multilevel Fusion of Data Features. Fusion: Practice and Applications. (): 100-115. DOI: https://doi.org/10.54216/FPA.100106
    Kadem, S. Sami, N. Elaraby, A. Alyousif, S. Jalil, M. Altaee, M. Almusawi, M. A., I. Kamil, A. Kamalrudin, M. Allwi, A. "Comparison of Epilepsy Induced by Ischemic Hypoxic Brain Injury and Hypoglycemic Brain Injury using Multilevel Fusion of Data Features," Fusion: Practice and Applications, vol. , no. , pp. 100-115, 2023. DOI: https://doi.org/10.54216/FPA.100106