Applicability-oriented Electrodes Placement for Active Neurofeedback Training and Passive Sleep Monitoring

• Main Authors: Ssu-ChiehLin, 林思潔
• Other Authors: Shan-Fu Liang
• Format: Others
• Language: en_US
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/kwc76u

碩士 === 國立成功大學 === 資訊工程學系 === 105 === A multi-channel polysomnogram (PSG), recording include an electroencephalogram (EEG), an electrooculogram (EOG) and an electromyogram (EMG), is a clinically approved sleep-monitoring device, the recording includes EEG, EOG, and EMG. But on sleep analysis, the staging is based on EEG, EOG and EMG are auxiliary. So in order to simplify the measurement, a single channel EEG was developed for sleep staging. EEG is not only used in measuring sleep but also can be used in measuring other brain activities, such as neurofeedback training (NFT). And in addition to PSG, other amplifiers, such as SynAmps2, can be used to record signals. However, due to that users need to wear the electrode cap, which sends signals to an amplifier via electrode wires and operate the instrument with the professional help. It may cause sleep disturbance and may bias measurement of sleep quality. Thus, we want to find the electrodes placement that users can easily operate by their own, and the signal from this placement will be similar to the EEG. Placed the electrodes in different positions on the forehead, because that it is easier for the users to operate on their own, and then had nine bipolar forehead channels. Measured the patterns of sleep and alpha NFT - alpha (8-12Hz), spindle (12-14Hz) and delta (0.5 to 2 Hz) to confirm that the electrodes placement to be used is appropriate. First of all, through the recordings of forehead channels from two neural feedback training, we analyzed the result of each channel and determined which will be used. Then used the determined forehead channel in sleep-monitoring, and compared the results with EEG. Through the results of the experiments, we can observe that the determined forehead channel could use in measurement the patterns of sleep and NFT. And in the future, the forehead channel may be able to apply in the wearable device, which can ease the way of measurement. Or the forehead channel may be able to apply in other application, such as detection of epilepsy, treatment of insomnia, or brain event-related potential.