Data synchronization method of electroencephalogram device and electroencephalogram device

Abstract

The invention discloses a data synchronization method of an electroencephalogram device and the electroencephalogram device, and the method comprises the steps: a central processing system sends an instruction to each subsystem through a first wireless communication protocol, so as to complete the synchronization of each subsystem; an acquisition subsystem acquires data information and transmits the data information at a preset frequency, adds a first timestamp corresponding to the data information into a data packet, and sends the first timestamp and the data information to the central processing system; a marking subsystem sends a second timestamp of a moment corresponding to an event generation signal according to the event generation signal transmitted by the central processing system through a second wired communication protocol; the central processing system receives a data packet sent by the acquisition subsystem through a second wireless communication protocol, and obtains a current second timestamp from the marking subsystem through the wired communication protocol, the first wireless communication protocol or the second wireless communication protocol; and aligning the data points corresponding to a second timestamp according to the second timestamp acquired from the marking subsystem.

Description

technical field [0001] Embodiments of the present invention relate to the field of biological information technology, and in particular, to a data synchronization method for an EEG device and the EEG device. Background technique [0002] Event-related evoked potential (ERP) is an electroencephalogram (EEG) induced by a specific stimulus, which can reflect the neurophysiological changes in the cognitive process of the brain under the stimulus. In the process of EEG signal acquisition, events and data often have a strict time-locked relationship, such as event-related evoked potentials (ERPs) and phase-related steady-state visual evoked potentials. Therefore, while recording the EEG data, it is necessary to accurately record the time when the event occurs, and the time error between the event and the data is required to be within ±1ms. [0003] Existing synchronization methods mainly include two types: one is digital wired synchronization, specifically: the event generator ca...

AI Technical Summary

Problems solved by technology

[0004] However, most of the existing high-precision data transmission methods are wired transmission, which requires a wired connection between the event generator and the EEG acquisition system, which brings great inconvenience to related experiments and research.

The existing wireless data synchronization technology has slow transmission speed, low transmission efficiency, and complicated transmission process, making it difficult to realize synchronous acquisition of multiple stimulation systems

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