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This paper present the design and delivery procedure for a computer based assessment for brain electrophysiology technique of dyslexic children. Electrical activities of the brain are recorded using electroencephalograph where analysis can then be made and results can lead towards an objective diagnosis assessment of dyslexia. The benchmark of the assessment design is based on methods employed by...
Children with dyslexia or known as specific reading disability, have problem in recognizing some words compare to normal children. In this study, electroencephalogram obtained from dyslexic children during writing words, were analyzed. The EEG signals recorded from 4 channels; C3, C4, P3 and P4 were filtered using a band pass filter with frequency range of 14 to 30 Hz. The signals were analyzed using...
Infant asphyxia is a condition due to insufficient oxygen intake suffered by newborn babies. A 4 to 9 million occurrences of infant asphyxia are reported each year by WHO. Early diagnosis of asphyxia is important to avoid complications such as damage to the brain, organ and tissue that could lead to fatality. This is possible with the automation of screening of infant asphyxia. Here, a non-invasive...
This paper studies on the characteristics of electroencephalogram (EEG) which generated from writing using right and left hand. The EEG signals were recorded from 4 channels, C3, C4, P3 and P4 and processed using band pass filter (8–30Hz). Two method of analysis were performed; Fast Fourier transform and power spectral density. The results showed that Power Spectral Density can be used to distinguish...
Movement imagination is one of the ways that can produce electroencephalogram (EEG). Imagined writing may help to cure writing disability in children if the EEG signal obtained from this activity is used in the therapy system. This paper describes the spectral analysis of EEG signals obtained during actual writing and imagined writing. It also reveals the difference in frequency of EEG signal obtained...
Short-time Fourier Transform (STFT) provides an advantage of revealing the frequency contents of the signal at each time point in the signal. This information can be used to provide control and perform several tasks in Brain Computer Interface system. This paper describes the STFT analysis of EEG signals obtained during relaxing and writing, The results of the STFT analysis showed that there are significant...
Pathologic conditions such as deafness, asphyxia and others can be detected from infant cries in real time with a digital signal processor. This is only possible if the digital signal processor is embedded with a Simulink function model for the requisite signal processing. Prior to detection, it is found from previous works that the features of infant cry have to be extracted using the Mel Frequency...
This paper describes the classification of infant cry with asphyxia using integration of Orthogonal Least Square and Support Vector Machine with Radial Basis Function kernel (OLS-SVM) and integration of Orthogonal Least Square with Multilayer Perceptron (OLS-MLP). The information embedded in the cry signal was extracted using Mel Frequency Cepstrum Coefficient (MFCC) analysis. The extracted features...
Signal processing is an operation design for extracting, enhancing, storing and transmitting useful content of information. In extracting information from the electroencephalogram, digital signal processing techniques are used. In this paper, the EEG signals generated by 2 channels C3 and P3, before and during writing were recorded, which are then filtered using a band pass filter with frequency range...
Electroencephalogram consists of hand movement information that can be extracted using suitable digital signal processing techniques. In this study, the EEG signals generated from hand grasping and writing were recorded from 4 channels; C3, C4, P3 and P4 and filtered using band pass filter with frequency range of 8 Hz to 30 Hz. The signal was then analysed using Fast Fourier Transform. Analysis of...
Hypothyroidism in infants is caused by the insufficient production of hormones by the thyroid gland. Due to stress in the chest cavity as a result of the enlarged liver, their cry signals are unique and can be distinguished from the healthy infant cries. This study investigates the effect of feature selection with Binary Particle Swarm Optimization on the performance of MultiLayer Perceptron classifier...
Dyslexia is one of brain disorders which needs to be detected at an early stage to allow the children to master the basic and to avoid damage to self esteem and self-confidence. In this paper, treatment of dyslexia and researches on dyslexia diagnosis are discussed. Neuro-feedback has high potential to diagnose dyslexia. It has been proven that neuro-feedback is able to improve spelling disorder....
This paper describes design and development of transduction, filtering, stabilisation and linearization stages of a potentiometric circuit to convert micro-signals from a PZR microcantilever biosensor into readable signals for human stress. The biosensing principle is based on immobilization of the bioreceptor to produce a biochemical reaction. The novel potentiometric circuit converts this biochemical...
Brain computer interface system incorporating signal processing techniques augments human capabilities by providing a new interaction link with the outside world and is particularly relevant as an aid for paralyzed humans, and even for able-bodied people. This paper describes the essential components of BCI system, types and signal processing techniques used in the system. Several methods of electrode...
Artificial Neural Network has been widely applied for solving pattern recognition problems including infant cry classification for detecting infant health and physical status. Feature extraction is usually performed using Mel Frequency Cepstrum Coefficient (MFCC) analysis. If irrelevant features in the MFCC are not removed, the performance of the MLP will be degraded. The use of F-ratio is essential...
Increased inter-equipment connectivity coupled with advances in Web technology allows ever escalating amounts of physiological data to be produced, far too much to be displayed adequately on a single computer screen. The consequence is that large quantities of insignificant data will be transmitted and reviewed. This carries an increased risk of overlooking vitally important transients. This paper...
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