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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...
In this study, the multivariate probability distribution was investigated to develop the expert knowledge-based automatic sleep stage determination technique. The ultimate purpose is to develop adaptive automatic sleep stage determination algorithm for clinical practice. Gaussian distribution was adopted to realize automatic parameter selection while Cauchy distribution was adopted to estimate the...
Visual mismatch negativity (v-MMN) in electroencephalographic (EEG) record provides an index of pre-attentive information processing of the brain. v-MMN is considered to reflect schizophrenia. The positive and negative syndrome scale (PANSS) is usually used in clinical diagnosis on patients with schizophrenia for estimating the degree of disorder. In this study, the relationship between v-MMN and...
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...
This paper introduced an expert knowledge-based automatic sleep stage determination system working on statistical signal processing. The main methods included two processes. One was expert knowledge base construction, which was developed in terms of probability density functions (pdfs) of parameters for each sleep stage. Here, the visual inspection by a clinician was utilized rather than stage scoring...
Sustained mental work easily causes mental fatigue. Comfortable environments are necessary to be introduced into mental work. It is very practical research to explore the characteristics under progressive mental fatigue and make a suitable work-rest schedule. In this research, a work-rest schedule containing mental calculation task and music relaxation is specially designed to reflect effect of prolonged...
This paper proposes a real time evaluation method for different types of bio-neurological signals. In this method, multiple types of bio-neurological signals can be automatically processed in a single system in real time, including EEG, EMG, EOG, etc. It can display the wave shapes of these signals, calculate the feature parameters, indicate various kinds of artifacts contaminating in the signals,...
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...
Deep brain stimulation (DBS) is a effective treatment method for patients with Parkinson's disease (PD). In this study, a quantitative evaluation for the availability of DBS operation to PD patients were done by use of a visual tracking test. Visual target with random trajectory was adopted and the hand movement of three PD patients were recorded in the state before and after surgery. Parameters related...
The objective of the present study is to determine if surface electromyography (EMG) signals can be used for controlling the motion of the meal assistance robot. The power of four EMG channels were calculated and encoded into five commands to track the motion of meal assistance robot. The results indicated that by using EMG signals, the meal assistance robot was able to follow the movement desire...
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