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In this paper, we aim to classify two classes in children by using single‐channel electroencephalogram (EEG). EEG has been used to define neural patterns and to adjust the wide applicability to a larger population of healthy and diseased users. Specialized EEG devices have recently developed as for compact and portable measurement system using them in the real environment. If there is a multiplex...
Forearm movements realize various functions needed in daily life. For reproduction of the motion sequences, active myoelectric devices have been developed. Usually, feature indices are extracted from observed signals in control strategy; however, the optimal combination of indices is still unclear. This paper introduces sparsity-inducing penalty term in principal component analysis (PCA) to explore...
The purpose in this study is visualizing brain functional activities during taking a favorite food using Near Infra-Red Spectroscopy (NIRS). Many appointments and systems that aim to provide happiness for improving quality of life in the users have been constructed. The creations must integrate a common and plausible happiness indicator into their module; however, almost all of them do not have the...
The effect of voluntary and involuntary eyeblinks in independent components (ICs) contributing to electroencephalographic (EEG) signals was assessed to create templates for eyeblink artifact rejection from EEG signals with small number of electrodes. Fourteen EEG and one vertical electrooculographic signals were recorded for twenty subjects during experiments that prompted subjects to blink voluntarily...
In the bicycle manufacturing industries, manufacturers attempt to reflect a user's preference, namely riding comfort, on their products. Surface electromyogram (EMG)-based approaches have been researched for evaluation of riding comfort. However, the EMG does not capture user preferences, because it focuses on muscle fatigue, not riding comfort. To solve this problem, we propose an approach that combines...
To study an eye blink artifact rejection scheme from single-channel electroencephalographic (EEG) signals has been now a major challenge in the field of EEG signal processing. High removal performance is still needed to more strictly investigate pattern of EEG features. This paper proposes a new eye blink artifact rejection scheme from single-channel EEG signals by combining complete ensemble empirical...
Complete artifact removal of eye-blink for electroencephalographic (EEG) signal is generally-regarded as important process in EEG signal analysis. No numerical approach of eye-blink artifact removal for single-channel EEG signal in time domain is developed. In this paper, we propose a time domain eye-blink artifact removal method for single-channel EEG signal using independent component analysis (ICA)-based...
Recently, a lot of research concerning biological signal analysis has been proceeded in various field. Especially, research about electroencephalographic (EEG) signals has attracted attention since the signal contains a mixture of endogenous brain activities. However, the EEG signal is often mixed physiological artifacts such as blink, oculogyration, heart beat or muscle activities. Therefore, it...
This paper aims to construct the interest prediction models for nursery school child using a single-channel electroencephalograph (EEG). Recently, the number of dual income households who leave their children in nursery schools have been increasing in Japan. Such parents are not able to grasp their children's behavior in daily life. Considering these issues, the researches related to child behavioral...
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