System and method for nerve feedback training through IoT device

Systems and methods for neurofeedback training using IoT devices are disclosed. According to some embodiments, the method may include receiving, by the processor via the communications network, an electroencephalogram signal measured by at least a plurality of sensors coupled to the user. The method...

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Hauptverfasser: GUO XIPENG, MAX NEWLON, SAMUEL JAMES PRENTICE, QIAO JUNQING, ZOU SIRUI, WANG TIANHE, NEWLON MARX, YANG ZHAOYI, XIA FANGZHOU, WANG SHIWEI, FANG NENGHUI, HAN BICHENG, LIU BIFEI, PRENTISS SAMUEL JAMES
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:Systems and methods for neurofeedback training using IoT devices are disclosed. According to some embodiments, the method may include receiving, by the processor via the communications network, an electroencephalogram signal measured by at least a plurality of sensors coupled to the user. The method may further include determining, by the processor, a frequency distribution of the brain wave signal. The method may further include determining by the processor a first value indicative of an amount of the electroencephalogram signal within the first frequency band. The method may further include generating, by the processor, a control signal based on the value to actuate a target device wirelessly connected to the processor. The method may further include transmitting, by the processor via the communication network, the first control signal to the target device. 公开了种用于使用IoT设备进行神经反馈训练的系统和方法。根据某些实施例,该方法可以包括由处理器经由通信网络接收由接合至用户的至少个传感器所测量的脑波信号。该方法还可以包括由该处理器确定该脑波信号的频率分布。该方法还可以包括由该处理器确定指示该脑波信号在第频带内的量的第数值。该方法还可以包括由该处理器基于