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The sEMG (Surface Electromyogram) is a kind of physiological signal corresponding to the muscle action. The analysis of sEMG signal can obtain the charateristics of the motion information. In this paper, a remote control system based on sEMG was developed. The system consists of host and client computer. A sEMG signal recording device was designed. The recorded data was transit by Zigbee wireless...
In this study, the automatic technique for the continuous light sleep level estimation and prediction is developed. The ultimate purpose is to realize the automatic sleep level evaluation for short-term day time nap sleep. The main method is based on the conditional probability obtained according to the characteristics of neuro-physiological signals including EEG, EOG and EMG. The estimated and predicted...
The day time nap sleep has the significant prophylactic function to our health and working efficiency. In this study, the prediction of sleep level for day time short nap was investigated. The ultimate purpose was to develop the automatic analysis technique for nap sleep interpretation. Firstly, the conditional probabilities of sleep stage awake, stage 1 and stage 2 were calculated for the consecutive...
Most automatic spike detection systems in the scalp electroencephalogram (EEG) focused on the characteristics of “spike.” However, the characteristics of “false positives” (FPs) have not been fully studied. In this paper, we proposed a system that contains a series of algorithms to eliminate FPs and a template method to confirm spikes. The system used large area context available on 49 channels from...
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...
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 firstly describes the smart car control system based on EMG signal. Through analyzing the characteristics of EMG signal, the algorithm extracting the features of EMG signal by comparison the power of EMG signal with threshold was presented, the choice of parameters in algorithm were also given. Based on the features of EMG signal, the rising edge control, pulse width control and falling...
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