TY - GEN
T1 - EEG BSI-HHT in ischaemic stroke with multifocal infarction
AU - Aziz, Fathrul Azarshah Abdul
AU - Fauzi, Hilman
AU - Shapiai, Mohd Ibrahim
AU - Aziz, Aznida Firzah Abdul
AU - Remijn, Gerard
AU - Ismail, Zool Hilmi
N1 - Funding Information:
ACKNOWLEDGMENT The authors would like to thank Universiti Teknologi Malaysia for funding this research project through a Research University Grant entitled "Mask Covariance Of Common Spatial Pattern For Brain Computer Interface" (Q.K130000.2543.13H71) and also additional funding from Centre for Artificial Intelligence and Robotics (CAIRO) (U.K091303.0100.00000).
Publisher Copyright:
© 2017 IEEE.
PY - 2017/12/19
Y1 - 2017/12/19
N2 - Electroencephalography (EEG) monitoring is known to be technically feasible and possibly clinically relevant to determine patients with acute ischaemic hemispheric stroke. The EEG is a very useful tool in understanding neurological dysfunction of stroke and likely improving the treatment and rehabilitation. The traditional method for diagnosing with EEG is mainly based on conventional Fast Fourier Transform (FFT). FFT is known to be limited to linear and stationary signal processing. Previously, a technique known as Brain Symmetry Index (BSI) has been proposed to determine the index value for asymmetry of blood flow in right and left brain hemispheres. The estimated index between stroke patient and healthy person ranges between zero and one. Similarly, the existing standard BSI limit the frequency band until 25Hz to eliminate EMG artifact, but at higher frequency band some useful information can also be represented. Hence, highlighting the limitation of FFT in providing the coefficient to calculate BSI index. In this study, we employed the Hilbert Huang Transform (HHT) to extract important feature for this research to use as coefficient in calculating the BSI index for stroke patients with multifocal infarction and healthy individuals. The proposed BSI-HHT spectral analysis conducted in this research was compared with several existing BSI techniques. In order to validate the performance of BSI-HHT, we conducted two experiments 1) 1-25Hz and 2) 1-64Hz for both patients and healthy individuals. The proposed technique offers constant BSI index for two cases and providing better resolution results in determining the index as compared to the existing BSI techniques.
AB - Electroencephalography (EEG) monitoring is known to be technically feasible and possibly clinically relevant to determine patients with acute ischaemic hemispheric stroke. The EEG is a very useful tool in understanding neurological dysfunction of stroke and likely improving the treatment and rehabilitation. The traditional method for diagnosing with EEG is mainly based on conventional Fast Fourier Transform (FFT). FFT is known to be limited to linear and stationary signal processing. Previously, a technique known as Brain Symmetry Index (BSI) has been proposed to determine the index value for asymmetry of blood flow in right and left brain hemispheres. The estimated index between stroke patient and healthy person ranges between zero and one. Similarly, the existing standard BSI limit the frequency band until 25Hz to eliminate EMG artifact, but at higher frequency band some useful information can also be represented. Hence, highlighting the limitation of FFT in providing the coefficient to calculate BSI index. In this study, we employed the Hilbert Huang Transform (HHT) to extract important feature for this research to use as coefficient in calculating the BSI index for stroke patients with multifocal infarction and healthy individuals. The proposed BSI-HHT spectral analysis conducted in this research was compared with several existing BSI techniques. In order to validate the performance of BSI-HHT, we conducted two experiments 1) 1-25Hz and 2) 1-64Hz for both patients and healthy individuals. The proposed technique offers constant BSI index for two cases and providing better resolution results in determining the index as compared to the existing BSI techniques.
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U2 - 10.1109/TENCON.2017.8228123
DO - 10.1109/TENCON.2017.8228123
M3 - Conference contribution
AN - SCOPUS:85044246267
T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON
SP - 1651
EP - 1656
BT - TENCON 2017 - 2017 IEEE Region 10 Conference
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Region 10 Conference, TENCON 2017
Y2 - 5 November 2017 through 8 November 2017
ER -