Portable brain-computer interface device using cloud computing power

Abstract

The invention relates to a portable brain-computer interface device using cloud computing power, the device comprises a processing module, an interface and a communication module, the processing module is used for determining a function of a function module; determining a target processing resource according to the function of the acquisition module and/or the data volume of the acquired data; and under the condition that the target processing resource at least comprises the cloud processing resource, at least part of the collected data is sent to the cloud through the communication module. According to the processing device, whether the collected data needs to be sent to the cloud for processing or not can be judged, if yes, the collected data which is difficult to process locally can be sent to the cloud for processing through the communication module, the processing efficiency and real-time performance of the electroencephalogram signals can be improved, limitation of local processing resources can be avoided, and the processing efficiency of the electroencephalogram signals is improved. Signal acquisition and processing functions with richer functions are developed, and richer electroencephalogram signals can be obtained.

Description

technical field [0001] The present disclosure relates to the field of computer technology, and in particular, to a portable brain-computer interface device using cloud computing power. Background technique [0002] The realization of brain-computer interface technology is mainly through the steps of EEG acquisition, signal acquisition and processing, signal output (execution), and signal feedback. The electrodes used to collect EEG signals are different from those used to generate electrical stimulation, resulting in different acquisition methods of EEG signals. Brain-computer interfaces are further divided into invasive brain-computer interfaces and non-invasive brain-computer interfaces. Whether it is an invasive brain-computer interface or a non-invasive brain-computer interface, both hardware devices that can support EEG signal acquisition and transmission, and software algorithms that can support EEG signal processing and analysis are required. [0003] Brain-computer ...

AI Technical Summary

Problems solved by technology

[0003] Brain-computer interface devices can be carried by the user, so that the user's EEG signals can be obtained in real time. However, the processing resources of portable devices are limited, and the data volume of EEG signals is large, making analysis difficult, and the processing power of portable devices is difficult. Analyzing complex EEG signals makes it difficult to obtain analysis results in real time, which may adversely affect the monitoring and research of brain diseases

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