Autoregressive （AR） power spectral density estimate method was used to analyze the electroencephalogram （EEG） signals in eyes-open and eyes-closed states. From the topographical distributions of delta, theta, alph...Autoregressive （AR） power spectral density estimate method was used to analyze the electroencephalogram （EEG） signals in eyes-open and eyes-closed states. From the topographical distributions of delta, theta, alpha, and beta power spectrum, these two states can be clearly discriminated. In these two states, frontal areas were activated in delta power, both frontal and occipital areas were activated in theta band, and occipital areas were activated in alpha and beta bands. These four bands had significantly higher power in frontal, parietal, and occipital areas when eyes were close. The results also implied that the optimum order of AR model could be more suitable for estimating EEG power spectrum of different states.展开更多
Electroencephalogram(EEG)provides a window for the activity of the human brain.As a novel form of the brain-computer interface(BCI),the online/offline EEG data may be interpreted through its auditory representation wh...Electroencephalogram(EEG)provides a window for the activity of the human brain.As a novel form of the brain-computer interface(BCI),the online/offline EEG data may be interpreted through its auditory representation which can be considered as a specific tool in EEG monitoring and analysis.In this work,after a comprehensive comparison of the various designs of brainwave music generations,a waveform event mapping system for music display in real time--the Chengdu Brainwave Music(CBM)is proposed,which is a special on-line BCI system.In CBM,the user datagram protocol(UDP)is adopted to transport EEG data from the recorder to a music generator.The CBM could possibly be used as an audio feedback tool in BCI,or a monitoring tool in clinic EEG,and a subject specified music therapy method.展开更多
-Brain-computer interface （BCI） can help the deformity person finish some basic activities. In this paper, we concern some critical aspects of SSVEP based BCI, including stimulator selection, method of SSVEP extract...-Brain-computer interface （BCI） can help the deformity person finish some basic activities. In this paper, we concern some critical aspects of SSVEP based BCI, including stimulator selection, method of SSVEP extracting in a short time, stimulating frequency selection, and signal electrode selection. The conclusion is that the stimulator type should be based on the complexity of the BCI system, the method based on wavelet analysis is more valid than the power spectrum method in extracting the SSVEP in a short period, and the selections of stimulating frequency and electrode are important in designing a BCI system. These contents are meaningful for implementing a real SSVEP-based BCI.展开更多
文摘Autoregressive （AR） power spectral density estimate method was used to analyze the electroencephalogram （EEG） signals in eyes-open and eyes-closed states. From the topographical distributions of delta, theta, alpha, and beta power spectrum, these two states can be clearly discriminated. In these two states, frontal areas were activated in delta power, both frontal and occipital areas were activated in theta band, and occipital areas were activated in alpha and beta bands. These four bands had significantly higher power in frontal, parietal, and occipital areas when eyes were close. The results also implied that the optimum order of AR model could be more suitable for estimating EEG power spectrum of different states.
基金supported by the National Natural Science Foundation of China under Grant No.60736029,30525030,60701015.
文摘Electroencephalogram(EEG)provides a window for the activity of the human brain.As a novel form of the brain-computer interface(BCI),the online/offline EEG data may be interpreted through its auditory representation which can be considered as a specific tool in EEG monitoring and analysis.In this work,after a comprehensive comparison of the various designs of brainwave music generations,a waveform event mapping system for music display in real time--the Chengdu Brainwave Music(CBM)is proposed,which is a special on-line BCI system.In CBM,the user datagram protocol(UDP)is adopted to transport EEG data from the recorder to a music generator.The CBM could possibly be used as an audio feedback tool in BCI,or a monitoring tool in clinic EEG,and a subject specified music therapy method.
基金supported by the National Natural Science Foundation of China under Grant No. 30525030 and60736029.
文摘-Brain-computer interface （BCI） can help the deformity person finish some basic activities. In this paper, we concern some critical aspects of SSVEP based BCI, including stimulator selection, method of SSVEP extracting in a short time, stimulating frequency selection, and signal electrode selection. The conclusion is that the stimulator type should be based on the complexity of the BCI system, the method based on wavelet analysis is more valid than the power spectrum method in extracting the SSVEP in a short period, and the selections of stimulating frequency and electrode are important in designing a BCI system. These contents are meaningful for implementing a real SSVEP-based BCI.
