TY - GEN
T1 - Electroencephalography (EEG) for detecting acute ischemic stroke
AU - Wijaya, Sastra Kusuma
AU - Badri, Cholid
AU - Misbach, Jusuf
AU - Soemardi,, Tresna Priyana
AU - Sutanno, V.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/2/8
Y1 - 2016/2/8
N2 - Currently, the study of EEG for detecting circulatory blood disorders in the brain, including strokes are being widely investigated. EEGs are widely used to diagnose epilepsy, seizures, Alzheimer's disease, cerebral dysfunctions and degenerative diseases of the brain. The aim of this study was to develop a software tool to enhance the available EEG in type C hospital for diagnosing stroke. Patients were examined using EEG and CT-Scan within 48 hours after the onset. The EEG signals were analyzed using spectral analysis of each channel, Welch analysis for detecting the decrement of frequency and BSI (brain symmetry index) for left and right hemisphere of the brain and other standards clinical examination. These signals were compared with the CT-scan to get abnormalities of the signals. There were some irregularities of the EEG signals in comparisons with CT-scan. All patients were examined stroke based on CT-scan. However, there were examined as normal, epileptic form, and stroke based on EEG readings. All of the BSI calculations were above the healthy subjects (0.042 ±0.005), which indicated that all subject were Acute Ischemic Stroke. While for some readings according to the conventional EEG indicated that 20% of the subjects were normal or within normal conditions. These were consistent with the ratios of power densities that all subjects were abnormal. Even these results were consistence with the CT Scans but they should be extended to more subjects in order to get a better conclusions.
AB - Currently, the study of EEG for detecting circulatory blood disorders in the brain, including strokes are being widely investigated. EEGs are widely used to diagnose epilepsy, seizures, Alzheimer's disease, cerebral dysfunctions and degenerative diseases of the brain. The aim of this study was to develop a software tool to enhance the available EEG in type C hospital for diagnosing stroke. Patients were examined using EEG and CT-Scan within 48 hours after the onset. The EEG signals were analyzed using spectral analysis of each channel, Welch analysis for detecting the decrement of frequency and BSI (brain symmetry index) for left and right hemisphere of the brain and other standards clinical examination. These signals were compared with the CT-scan to get abnormalities of the signals. There were some irregularities of the EEG signals in comparisons with CT-scan. All patients were examined stroke based on CT-scan. However, there were examined as normal, epileptic form, and stroke based on EEG readings. All of the BSI calculations were above the healthy subjects (0.042 ±0.005), which indicated that all subject were Acute Ischemic Stroke. While for some readings according to the conventional EEG indicated that 20% of the subjects were normal or within normal conditions. These were consistent with the ratios of power densities that all subjects were abnormal. Even these results were consistence with the CT Scans but they should be extended to more subjects in order to get a better conclusions.
KW - BSI
KW - Cerebrovascular disease
KW - diagnostic support tools
KW - electroencephalography (EEG)
KW - power spectrum
KW - stroke ischemic acute
UR - http://www.scopus.com/inward/record.url?scp=84963984117&partnerID=8YFLogxK
U2 - 10.1109/ICICI-BME.2015.7401312
DO - 10.1109/ICICI-BME.2015.7401312
M3 - Conference contribution
AN - SCOPUS:84963984117
T3 - Proceedings - 2015 4th International Conference on Instrumentation, Communications, Information Technology and Biomedical Engineering, ICICI-BME 2015
SP - 42
EP - 48
BT - Proceedings - 2015 4th International Conference on Instrumentation, Communications, Information Technology and Biomedical Engineering, ICICI-BME 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Instrumentation, Communications, Information Technology and Biomedical Engineering, ICICI-BME 2015
Y2 - 2 November 2015 through 3 November 2015
ER -