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In this paper, an extraction and classification of steady state-visual evoked potentials using the IIR Chebyshev I of 4 order and the adaptive feed-forward Neural Networks algorithm, respectively are applied. The classification results of the extracted signals is directly used to make a user able of controlling the directions (stop, forward, right, and left with stimuli frequencies of 7.5, 10, 15,...
ECG is one of the most popular fields in biosignals research. There are many studies conducted to develop an ECG instrument, both in hardware development and software development. One of the most recent trends is the development of remote monitoring of ECG signal using wireless technology. In this paper, we presented design, development, and implementation of our preliminary research about wireless...
In this paper, a wireless system for human heart monitoring/Electrocardiograph (ECG) based on Android Smartphones was proposed. The Cardiac signals was recorded from three electrodes and attached to a subject's body that connected to the ECG amplifier module. In this module, the signals were pre-prosessed and sending the result to the smartphone via Bluetooth. Next step, the result of signals stored...
In this study, real time classification of steady state-visual evoked potensials using the adaptive feedforward Neural Networks algorithm is proposed. The classification results is directly used to make a user able of controlling the directions (stop, forward, right, and left with stimuli frequencies of 7,5 10, 15, and 20 Hz, respectively) of a wheelchair based brain computer interface. The data was...
In this paper, an application of nonlinear adaptive filter on EEG-SSVEP extraction for brain-controlled wheelchair is proposed. In the experiment, four subjects with age about 25±1 years were tested. The experimental results in this work show that the implementation of the proposed method achieves a very significant statistical improvement in extracting peak amplitude features. After a short time...
An alternative design technique for active suspension system of a vehicle using a developed ground-hook damping system as a reference is proposed. The controller parameters are determined using Lyapunov method and can be tuned to precisely achieve the type of desired response specified by the reference model. The simulation result show that the designed active suspension system based on ground-hook...
In this paper, an application of Adaptive Network Fuzzy Interference System on EEG-SSVEP classification for brain-controlled wheelchair is presented. The used of steady-state paradigms with a periodic visual stimulus to stimulate the EEG-SSVEP is focused. In the experiment, four subjects with age about 25±1 years were tested. The experimental results show that the implementation of the proposed method...
This paper presents a method to optimal design of parameters for digital controllers using a nonlinear programming technique. Firstly, the performance index and constraint functions in terms of controller's parameters are derived and formulated as a nonlinear programming problem. Then the penalty function approach is proposed as an optimization algorithm to solve the nonlinear programming problem,...
ERP method is chosen to identify whether a person is lying or not. It comprises of three steps and utilizes signal P300 as marker. For the sake of simplicity, Matlab based program is constructed to take over the processes. Eleven males whose age is between 20 and 27 were subject to the experiment. The gathered data were then divided into training and test data to produce several models. They were...
A classification method is used to predict the qualitative properties of a subject's mental state by extracting useful information from the highly multivariate non-invasive recordings of brain activity. In this paper, an application of a classification method entailing time-series EEG signals with backpropagation neural networks is presented. To test the improvement in the EEG classification performance...
In this paper, an application of adaptive network fuzzy interference system classifier on EEG-SSVEP extraction for controlling an electronic wheelchair is proposed. In the experiment, four subjects with age about 25±1 years were tested. The experimental results reported in this work show that the implementation of the proposed method achieves a very significant statistical improvement in term of extracting...
In this paper, an alternative design technique for vehicle's active suspension system using model reference adaptive control method is presented. To verify the performance of the design controller, a skyhook damping system was adopted as the reference model. An adaptive controller for a quarter-size vehicle's active suspension system is designed. The controller parameters are determined using Lyapunov...
In this paper, an extraction for brain-controlled wheelchair by applying nonlinear adaptive filter on EEG-SSVEP is proposed. A four-choice signal paradigm with differents frequencies (i.e., from 6 to 9 Hz for left, right, bottom, and top, respectively) is used to stimulate the four subjects (about 25±1 years old) in the experiment. The experimental results show that the application of the extraction...
This paper proposes an algorithmic modeling and analysis method to study the dynamics of nonlinear biological systems. Motivated by the recent use of piecewise affine models in reachability analysis of continuous dynamical systems, we propose a multi-affine approximation method to study biological system models defined on hyperrectangle. We show that such approximation is useful for constructing system's...
Analysis of EEG activity usually raises the problem of differentiating between genuine EEG activity and that which is introduced through a variety of external influence. These artifacts may affect the outcome of the EEG recording. In this paper, wavelet denoising and band pass filter for preprocessing and a robustprincipal component analysis algorithm for extraction are proposed to remove the artifacts...
An active engine mount (AEM) system presented in this paper used to isolate the engine vibration to the chassis and to minimize the effect of such disturbances in the passenger cabin, besides supporting the static load by an engine weight. To accomplish this goal, a feed forward control algorithm will be employed in the currently developed AEM system. The engine mount system developed up to date uses...
In this paper, the emerging treatment technologies for removal of chemical and biological contaminants on peat water by ozone-based advanced oxidation processes and reverse osmosis is proposed. AOP method used in this study is combination of O3 and UV. The O3-UV process makes use of UV photons to activate ozone molecules, thereby facilitating the formation of hydroxyl radicals. The result of oxidation...
The growing demand for fresh water is partially satisfied by desalination plants that increasingly use membrane technologies and among them advanced oxidation processes emerging ozone to produce purified water. In this research, the water purification technology using advanced oxidation processes emerging ozone to be able to eliminate the content of humus acids and organic compounds is developed....
An instrument that has special function to record electrical brain activity in scalp is electroencephalograph (EEG). Recently has various function, one of them is brain computer interface (BCI). BCI application can make human brain interaction with environment without other parts of body. Mental task is the important part in BCI system. Mental task which generate from brain, especially happen in central...
Analysis of EEG activity usually raises the problem of differentiating between genuine EEG activity and that which is introduced through a variety of external influence. These artifacts may affect the outcome of the EEG recording. In this paper, wavelet denoising and band pass filter for preprocessing and a robustprincipal component analysis algorithm for extraction are proposed to remove the artifacts...
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