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Electrocardiogram (EKG) and Electroencephalogram (EEG) are widely used for kinds of disorders detection. In case of EKG, RR interval series is used for heart rate variability (HRV) analysis, which is a reliable reflection of status of autonomic nervous system. HRV is a function of both physical and mental activity. In order to analyze the influence of metal stress on HRV, EKG signals including information...
Automatic electroencephalogram (EEG) interpretation based on referential derivation is easily interfered by ear lobe activation. In order to improve the quantitative EEG interpretation of dominant rhythm, bipolar derivation was proposed in this study. Coherence and phase obtained from cross spectrum analysis were used to determine the focus of dominant rhythm. Existence, peak frequency, amplitude...
Many persons suffer from severe disabilities such as amyotrophic lateral sclerosis (ALS) caused by neurological disorders. Such kinds of disabilities bring various restrictions to communication and circumstance in their daily life. A simple communication method using neuro-biological signal will be effective and helpful to enhance their life quality. In this study, a simple on-off communication method...
A method for detecting spikes and slow burst in photic evoked electroencephalogram (EEG) was proposed. The spikes were detected by combining methods of the morphological filter and the similarity coefficient in the time domain. The slow burst was detected by using pole of AR model in the frequency domain. The proposed method was applied for the photic evoked EEG data containing spikes and slow burst,...
Quantitative analysis and detection of abnormalities for electroencephalogram (EEG) recordings during evoked activities are essential for clinical diagnosis on neurological disorders. However, the process of interpreting EEG is time consuming and requires experienced electroencephalographers (EEGers). In this study, a method of automatic EEG interpretation during hyperventilation was proposed. The...
Signal averaging method is usually utilized for extracting the characteristics of event related potentials (ERPs). However, the amplitude and duration of ERPs are not constant for each stimulus due to the fluctuation of the subject's state, accordingly the appropriate selection of available data is crucial for realizing the accurate averaging. Independent component analysis (ICA) is one of powerful...
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