Wearable electroencephalogram acquisition device

Abstract

The invention discloses a wearable electroencephalogram acquisition device. After the device is worn on the head of a user, an electroencephalogram signal of the user is extracted by a surface electrode on the device, then the extracted electroencephalogram signal is input to a dual channel analog front end and is subjected to filtering, amplification and analog-digital conversion in sequence; a digitalized electroencephalogram signal is obtained and is input to a wireless transceiver, and the wireless transceiver packages the digitalized electroencephalogram signal and sends the signal to terminal equipment by a built-in radio frequency antenna. In a specific processing process, the kernel of the wireless transceiver processes a quantized signal and feeds back to an analog front end in real time for adjusting the work state of equipment, and the high-efficiency and low-power-consumption acquisition and transmission of the electroencephalogram signal is ensured.

Description

technical field [0001] The invention belongs to the technical field of EEG signal acquisition, and more specifically relates to a wearable EEG acquisition device. Background technique [0002] With the continuous development of intelligent technology, the brain-computer interface is moving from the screen of science fiction movies to the life of ordinary people. Through visual stimulation or mental imagination, people can issue instructions to operate games, control home appliances, and even drive cars. In this context, brain-computer interface technology (BCI) based on electroencephalography (EEG) has gradually become a hot topic in academic research and industrial development circles, and has received more and more attention worldwide. [0003] Foreign EEG acquisition equipment has been developed for many years, and the technology is relatively mature after several generations of changes. The TGAM chip launched by Neurosky in the United States can realize single-channel ...

AI Technical Summary

Problems solved by technology

[0006] (1) The circuit structure of the system itself is relatively complicated, the system volume is too large, and the cost is high;

[0007] (2) The wired connection used is very inconvenient and not suitable for EEG collection under human motion and use in non-laboratory environments, and the connection requirements are relatively high;

[0008] (3) The power consumption of the whole system is relatively high, and an external DC power supply is required for power supply;

[0009] (4) The system's data processing ability and data transmission function are weak, and it is impossible to realize real-time reading and real-time transmission of data

[0010] Therefore, these disadvantages seriously hinder the wearable and commercial application of brain-computer interface devices

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