ELM (extreme learning machine) method for detecting acute ischemic stroke using conventional and specific asymmetry BSI (brain symmetry index) features based on EEG signals

Ji Ye Chan, Sastra K. Wijaya, Prawito, Osmalina N. Rahma

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Generally, acute ischaemic stroke (AIS) is diagnosed using MRI (Magnetic Resonance Imaging), CT (Computed Tomography) or fMRI (Functional MRI). However, MRI, fMRI, and CT are not available in community hospitals (C-type hospitals, PUSKESMAS). In addition, MRI, fMRI, and CT cannot measure for a long time or are unlikely to do continuous scanning. In most community hospitals, they have EEG (Electroencephalogram) machines to record brain waves. There are several methods available for detecting AIS, namely BSI (Brain symmetry Index), DAR (delta / alpha) and DTABR (delta+theta) / (alpha+beta) that analyze the power ratio of brain waves from the whole brain. These methods need to be refined. Therefore, authors attempt to use new method: specific asymmetry BSI. This method compares the frequencies not for 1-25Hz like BSI method, but looking for specific frequency band and the power ratio of brainwave from right and left hemisphere. To develop a stroke detection system, author uses the algorithm Extreme Machine Learning (ELM) because ELM provides accurate data with high speed rather read by human eye. All data were obtained from RS PON (Rumah Sakit Pusat Otak Nasional), Jakarta in edf format. There were 66 voluntary subjects and analyzed with Matlab. The BSIs and specific asymmetry BSIs were calculated using pwelch methods, and the DARs and DTABRs were calculated using wavelet db4. The ELM algorithm was confirmed using CT-scan, which was diagnosed by qualified doctors. It is expected that this method would be useful for detecting AIS in community hospitals.

Original languageEnglish
Title of host publication3rd Biomedical Engineering''s Recent Progress in Biomaterials, Drugs Development, and Medical Devices
Subtitle of host publicationProceedings of the International Symposium of Biomedical Engineering, ISBE 2018
EditorsPraswasti P.D.K. Wulan, Misri Gozan, Sotya Astutiningsih, Ghiska Ramahdita, Radon Dhelika, Prasetyanugraheni Kreshanti
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735418226
DOIs
Publication statusPublished - 9 Apr 2019
Event3rd International Symposium of Biomedical Engineering''s Recent Progress in Biomaterials, Drugs Development, and Medical Devices, ISBE 2018 - Jakarta, Indonesia
Duration: 6 Aug 20188 Aug 2018

Publication series

NameAIP Conference Proceedings
Volume2092
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference3rd International Symposium of Biomedical Engineering''s Recent Progress in Biomaterials, Drugs Development, and Medical Devices, ISBE 2018
CountryIndonesia
CityJakarta
Period6/08/188/08/18

Keywords

  • Acute Ischemic Stroke
  • Brain Symmetry Index (BSI)
  • DAR (delta / alpha)
  • DTBAR (Delta+Theta)/(Alpha+Beta)
  • Electroencephalogram (EEG)
  • Extreme Learning Machine (ELM)
  • Specific Asymmetry BSI

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