Massive multi-channel neural information comprehensive processing system and its control method

Abstract

The invention relates to the field of neuroelectricity physiological information data processing and provides a system for comprehensively processing massive multi-channel nerve information. The system comprises a script-driving control component, a data obtaining control component, a data analysis processing component and a data visualization processing component. Collection, processing and visualization processes of multi-channel nerve information undergo componentization and integration so as to establish a uniform service interface; and the processing process of the massive multi-channel nerve information can be automatically finished in terms of batches under the control of a script, and a visualization result can be provided. Simultaneously, the procedures for processing neuroelectricity physiological information data can be stored in a storage medium, thereby improving the repeatability and controllability of data processing. The invention also has the advantages that hardware control and the data processing are combined together; according to the processing result of neuroelectricity physiological information data, hardware operation is controlled, and an experiment proposal is dynamically revised; and due to the uniform interface, expansion processing and visualization algorithm can be dynamically carried out.

Description

technical field [0001] The invention relates to the field of nerve electrophysiological information data processing. In particular, it relates to a componentized comprehensive processing system for operating multi-channel neurophysiological data and a control method thereof. Background technique [0002] In the field of neural information processing, the information that researchers face generally has: (1) massive data size; (2) complex data definition; (3) flexible data processing methods and other characteristics. A typical neurophysiological experiment can generate more than 2 Gbytes of experimental data, which usually contains time-varying neural electrical signals of multiple channels. According to the purpose of the experiment, the specific definition of data is often complex and changeable, for example: the dynamic change of the number of channels, the specification of stimulation parameters, etc. At the same time, the processing flow of the experimental data refle...

AI Technical Summary

Problems solved by technology

The existing stages are completed by separate software, which raises two questions: (1) How to ensure efficient and reliable data exchange between each software; (2) How to preserve the experimental processing and analysis process from a global perspective, so as to facilitate the reproduction of experimental steps , to improve the efficiency of computer-aided experimental design and analysis

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