Rabani Remli

A study on EEG signals during eye-closed and eye-open using discrete wavelet transform

Analysis of the electroencephalogram (EEG) signal is a popular method for brain activity tracing. However, a precise experiment design is required in ensuring accuracy and reliability of the recorded signals. This includes the eye state whether to be in a closed or open position based on the experiment requirement. In this study, we have demonstrated significant difference between EC and EO in terms of sub-band frequencies using discrete wavelet transform (DWT). The average percentage energy for DWT coefficients related to delta and theta waves are significantly decreased while interestingly, the percentage energy for DWT coefficients related to alpha waves increased significantly from EO to EC. Meanwhile, there is no significant change in the DWT coefficients related to beta and gamma waves. The significant change is determined when p-value is less than 0.01 for an independent t-test. We conclude that this study has proven that it is important to maintain specific eye states during EEG recording to avoid misinterpretation on the analysis of the brain activities.

An unusual neurological complication from a garden-variety organism: post-melioidosis parkinsonism.

A 62-year-old man presented to our tertiary hospital’s emergency department with a 4-week history of fever associated with lethargy and constitutional symptoms. For 9 days before admission, he had been vomiting two to three times per day. He had longstanding diabetes and hypertension and worked for the local city council as a truck driver, transporting water to local gardens and public areas. About 2 months previously, he had sustained an abrasion on his left foot that had healed completely at time of presentation.

T100. Computerized Recognition of Epileptic Discharge (CREED) algorithm and its clinical application

Introduction Clinical examination and electroencephalography (EEG) testing remain the gold standards for diagnosis of epilepsy. Unfortunately, these techniques require experienced epileptologist and highly time consuming activity, adversely impacting treatment decisions and leading to delays in treatment. Until recently, software computation has been neglected in the assessment of epileptic discharge. The advancement in computational technology offers reliable method for evaluating the electrophysiological changes in EEG during epileptic discharge providing appropriate guidance for treatment. Methods The Computerized Recognition of Epileptic Discharge (CREED) algorithm comprise of adaptive segmentation algorithm and morphological pattern identifier that can assist in the diagnosis of epilepsy. The etiology of epileptic discharge (ED) is revealed through the presence of sharp and spike. 5 normal EEG and 5 interictal EEG data were acquired from Universiti Kebangsaan Malaysia Medical Centre (PPUKM) database and their number of ED were determined by three neurologists manually are use as reference to validate the performance of developed algorithm. CREED performance is evaluated using Bivariate Pearson’s Correlation Analysis to measure the strength and direction relationship of number of ED detected between CREED and the neurologists. Results CREED is helpful in improving our reviewing and reporting duration of the electrophysiology of these common conditions by providing number and location of ED in the recorded signal. CREED is able to distinguish between normal and interictal ED channel with 90% accuracy, 100% sensitivity and 83.3% specificity. ED detection between three neurologist and CREED has been analysed. A near identical result were produced by Neurologist 1 and 2 and were used for further validation using correlation analysis against CREED. CREED assessment on number of ED are positively correlated with neurologists 1 and 2 assessment with correlation of r = 0.86 (p  Conclusion Preliminary evidence prove that CREED has potential to be introduced in clinical environment as a standard aspect of evaluating epileptic discharge in neurology laboratories that offer EEG diagnosis. On-going research suggests that it may become an essential element in the evaluation of epilepsy patient diagnosis and treatment.

LP22: The use of blink reflex study in determining the clinical recovery and quality of life in Bell’s palsy patient

oped severe generalized weakness and required mechanical ventilation. At that time, RNST was abnormal in ADQ. Treatment of WM with Rituximab dramatically improved symptoms and led to a progressive and sustained decrease of IgM and anti-MuSK titres. Six years later, patient remains stable without treatment. Discussion: Neurophysiological features studies allowed to rule out a peripheral neuropathy, played a role the diagnosis of MG and, more on, its features correlated with clinical status. Response to rituximab could throw additional light on the role of B cells as therapeutic targets in anti-MuSK positive MG.