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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...
Human sleep stages wring whole night are usually classified into six stages based on polysommnographic (PSG) record. Sleep state of human light sleep changes gradually and continuously. In this study, automatic judgment of light sleep state in PSG record was developed. Parameters for characterizing the PSG were calculated from the periodogram and the discriminant function was constructed by using...
The paper presents an ongoing investigation of applying finite state machines (FSM) to drive a meal assistance robot based on electromyogram (EMG) signals. An adapting single-threshold method on EMG power is proposed to recognize different elevation gestures. Predefined control commands are output by FSM based on the extracted EMG features, and used to operate the robot. The performance of control...
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,...
The purpose of this study is to evaluate the effect of music relaxation and to explore the relationship among visual analog scales, behavior performance and electroencephalogram (EEG) analysis. In the experiments, subjects did mental arithmetic until felt fatigued and then relaxed by listening to classical music. In order to analyze EEG signals, two nonlinear parameters L-Z complexity and approximate...
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...
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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