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Mehmet Akin

Publications and source records attributed to Mehmet Akin.

7 recordsLinked to original sources

Comparison of STFT and wavelet transform methods in determining epileptic seizure activity in EEG signals for real-time application.

Electroencephalography (EEG) is widely used in clinical settings to investigate neuropathology. Since EEG signals contain a wealth of information about brain functions, there are many approaches to analyzing EEG signals with spectral techniques. In this study, the short-time Fourier transform (STFT) and wavelet transform (WT) were applied to EEG signals obtained from a normal child and from a child having an epileptic seizure. For this purpose, we developed a program using Labview software. Labview is an application development environment that uses a graphical language G, usable with an online applicable National Instruments data acquisition card. In order to obtain clinically interpretable results, frequency band activities of delta, theta, alpha and beta signals were mapped onto frequency-time axes using the STFT, and 3D WT representations were obtained using the continuous wavelet transform (CWT). Both results were compared, and it was determined that the STFT was more applicable for real-time processing of EEG signals, due to its short process time. However, the CWT still had good resolution and performance high enough for use in clinical and research settings.

Child, Preschool↗

Automatic recognition of alertness level by using wavelet transform and artificial neural network.

We propose a novel method for automatic recognition of alertness level from full spectrum electroencephalogram (EEG) recordings. This procedure uses power spectral density (PSD) of discrete wavelet transform (DWT) of full spectrum EEG as an input to an artificial neural network (ANN) with three discrete outputs: alert, drowsy and sleep. The error back propagation neural network is selected as a classifier to discriminate the alertness level of a subject. EEG signals were obtained from 30 healthy subjects. The group consisted of 14 females and 16 males with ages ranging from 18 to 65 years and a mean age of 33.5 years, and a body mass index (BMI) of 32.4 +/- 7.3 kg/m2. Alertness level and classification properties of ANN were tested using the data recorded in 12 healthy subjects, whereby the EEG recordings were not used been used to train the ANN. The statistics were used as a measure of potential applicability of the ANN. The accuracy of the ANN was 96 +/- 3% alert, 95 +/- 4% drowsy and 94 +/- 5% sleep. The results suggest that the automatic recognition algorithm is applicable for distinguishing between alert, drowsy and sleep state in recordings that have not been used for the training.

Adolescent↗

Normal urinary calcium/creatinine ratios in Turkish children.

A random urine calcium/creatinine ratio (UCa/Cr) is of practical use in screening for hypercalciuria. However, due to worldwide variations, reference values for the pediatric population are not yet well established. Furthermore, no study has been conducted to establish normal UCa/Cr values in Turkish children. The objectives of the present study were to set normal values of random UCa/Cr by age in the pediatric population of Istanbul City. A total of 324 healthy children of both genders were enrolled in the study. They were divided into four age groups as follows: (1) < 7 months, (2) 8-18 months, (3) 19 months to 6 years, and (4) 7-14 years. A non-fasting random urine specimen from each subject was analyzed for calcium and creatinine. The median UCa/Cr values were 0.19, 0.20, 0.14 and 0.10 respectively. The data showed a strong inverse relationship with age. The age-dependent 95th percentiles of UCa/Cr values were 0.76, 0.60, 0.69 and 0.24 respectively. The child's age and geographic location should be taken into consideration when interpreting UCa/Cr ratio.

Adolescent↗

Mumps-like syndrome owing to parvovirus B19: a brief report.

Major manifestations of acute parvovirus B19 infection are usually erythema infectiosum, transient aplastic crisis and polyarthropathy. We report a case suspected to have mumps-meningo-encephalitis who had IgM and IgG antibodies positive for parvovirus B19.

Acute Disease↗