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The following topics are dealt: time-frequency analysis; functional magnetic resonance imaging; cancer drug delivery; glucose sensor and diabetics control; neural computing; EEG; biomechanics; biomedical information network; health care environment; optical coherence tomography; medical diagnostics device; image-guided surgery; radiation therapy; laparoscopy; circadian rhythms; rehabilitation techniques;...
A motor imagery based brain-computer interface (BCI) translates the subject's motor intention into a control signal. For this BCI system, most algorithms are based on power changes of mu and beta rhythms. In this paper, we employ the measurement of phase synchrony to investigate the activities of the supplementary motor area (SMA) and primary motor area (M1) during left/right hand movement imagery...
A motor imagery based brain-computer interface (BCI) translates the subject's motor intention into a control signal. For this BCI system, most algorithms are based on power changes of mu and beta rhythms. In this paper, we employ the measurement of phase synchrony to investigate the activities of the supplementary motor area (SMA) and primary motor area (M1) during left/right hand movement imagery...
The problem of the definition and evaluation of brain connectivity has become a central one in neuroscience during the latest years, as a way to understand the organization and interaction of cortical areas during the execution of cognitive or motor tasks. In this paper we propose the use of the DTF method on cortical signals estimated from high resolution EEG recordings. An application of the proposed...
The problem of the definition and evaluation of brain connectivity has become a central one in neuroscience during the latest years, as a way to understand the organization and interaction of cortical areas during the execution of cognitive or motor tasks. In this paper we propose the use of the DTF method on cortical signals estimated from high resolution EEG recordings. An application of the proposed...
Muscle and eye movement artifacts are very prominent in the ictal EEG of patients suffering from epilepsy, thus making the dipole localization of ictal activity very unreliable. Recently, two techniques (BSS-CCA and pSVD) were developed to remove those artifacts. The purpose of this study is to assess whether the removal of muscle and eye movement artifacts improves the EEG dipole source localization...
Muscle and eye movement artifacts are very prominent in the ictal EEG of patients suffering from epilepsy, thus making the dipole localization of ictal activity very unreliable. Recently, two techniques (BSS-CCA and pSVD) were developed to remove those artifacts. The purpose of this study is to assess whether the removal of muscle and eye movement artifacts improves the EEG dipole source localization...
Our purpose of the research is a development of the detecting method of EEG under exercising. Usually, measuring EEG is done in the quiet state. In case of the measuring EEG under exercising, a movement of the body causes vibration of electrodes and artifact for the EEG. Therefore, generally detection of the EEG under exercising is said to be difficult. So, we developed the measuring method of EEG...
Our purpose of the research is a development of the detecting method of EEG under exercising. Usually, measuring EEG is done in the quiet state. In case of the measuring EEG under exercising, a movement of the body causes vibration of electrodes and artifact for the EEG. Therefore, generally detection of the EEG under exercising is said to be difficult. So, we developed the measuring method of EEG...
Eye blinking artifacts present serious problems for electroencephalographic (EEG) interpretation and analysis. In this study, we apply independent component analysis (ICA) to eye blinking artifact removal from cognitive EEG recordings. Due to the specific design of the experiment, the eye blinks almost always co-occur with the event-related potentials (ERP), which creates problems for ICA. We introduced...
Eye blinking artifacts present serious problems for electroencephalographic (EEG) interpretation and analysis. In this study, we apply independent component analysis (ICA) to eye blinking artifact removal from cognitive EEG recordings. Due to the specific design of the experiment, the eye blinks almost always co-occur with the event-related potentials (ERP), which creates problems for ICA. We introduced...
The EEG signal is a record of the brain activity using multiple electrodes placed on the scalp. Unfortunately, it can be hardly contaminated by a lot of noises called artifacts. These latter can be generated by various actions such as eye blinks, eye movements or the skeletal muscle activities (jaw, forehead, ...). This study will focus on a global artifact removal method using independent component...
The EEG signal is a record of the brain activity using multiple electrodes placed on the scalp. Unfortunately, it can be hardly contaminated by a lot of noises called artifacts. These latter can be generated by various actions such as eye blinks, eye movements or the skeletal muscle activities (jaw, forehead, ...). This study will focus on a global artifact removal method using independent component...
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