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Real time EEG based automatic brainwave regulation by music

机译:实时基于EEG的自动脑波音乐

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In this paper, we proposed an approach to automatically regulate the mood or brainwave of the paralyzed or sensory impaired or psychologically sick people. A MATLAB based algorithm has been developed to analyze the brain wave signals obtained from a real time EEG data acquisition system corresponding to different moods of the subject people. The program translated the brain wave signals into command to select and play suitable music tracks according to the state of the brain. These music or sound tracks, selected based on the choice of the target people, acted in turn as a feedback to continuously adjust the subject's mood as desired. Relaxation music, subcontinental soft patriotic, Rabindra Sangeet & motivational songs were used as example for relaxation, entertainment and warm-up respectively. Sample stored EEG data of different patients having different moods were used to verify the feasibility of the approach and the obtained results ensured its effectiveness.
机译:在本文中,我们提出了一种方法来自动调节瘫痪或感官障碍或心理病人的情绪或脑力。已经开发了基于MATLAB的算法来分析从对应于主题人员的不同情绪的实时EEG数据采集系统获得的脑波信号。该程序将大脑波信号转换为根据大脑的状态选择和播放合适的音乐轨道。根据目标人员选择的这些音乐或声音曲目,反过来作为一个反馈,以根据需要连续调整主体的情绪。放松音乐,亚丁风格柔软的爱国,Rabindra Sangeet和动机歌曲被用作放松,娱乐和预热的榜样。使用不同情绪的不同患者的样本存储的EEG数据用于验证方法的可行性,并获得所得的结果确保其有效性。

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