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Real time EEG based automatic brainwave regulation by music

机译:基于音乐的实时EEG自动脑电波调节

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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,我们提出了一种自动调节瘫痪或感觉障碍或心理疾病患者的情绪或脑电波的方法。已经开发出了一种基于MATLAB的算法来分析从实时EEG数据采集系统获得的脑波信号,该信号对应于受试者的不同情绪。该程序将脑电波信号转换为命令,以根据大脑的状态选择并播放合适的音乐曲目。根据目标人群的选择而选择的这些音乐或音轨依次充当反馈,以根据需要不断调整对象的情绪。放松音乐,次大陆性爱国音乐,拉宾德拉·桑吉特(Rabindra Sangeet)和励志歌曲分别被用作放松,娱乐和热身的例子。使用样本存储的具有不同情绪的不同患者的EEG数据来验证该方法的可行性,所获得的结果确保了该方法的有效性。

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