MicroCloud Hologram Inc. (HOLO or the “Company”), a Hologram Digital Twins Technology provider, has announced the launch of its holographic Brain-Computer Interface (BCI) data acquisition system. The system is the result of the Company’s independent research and development, which is conducive to further improving the Company’s intellectual property protection system, maintaining its technological leadership and enhancing its core competitiveness.
HOLO’s holographic BCI data acquisition system combines BCI with holographic technology, enabling the two technologies to complement each other. Holographic technology can be used as an information feedback tool for BCI systems, providing more realistic, prosperous and stimulating contextual feedback for a more immersive user experience. BCI can be used as an input device for the holographic system, providing more direct and faster input.
The system converts the EEG data/other bioelectric signals obtained from the front-end analog amplifier into digital signals by means of an A/D converter and transfers them to a computer via an interface with the computer for subsequent processing. The system combines the data transmitted from a BCI to a computer with holographic 3D image data generation technology and processes the corresponding data information to generate holographic 3D three-dimensional data.
HOLO’s holographic BCI data acquisition system includes EEG amplification holographic data generation part, digital control part and intelligent algorithm part. EEG amplifier circuit is mainly used to complete the holographic data amplification of EEG, so as to facilitate the subsequent holographic data processing of EEG acquisition system. As EEG is a very weak electrical signal with strong noise background, EEG amplifying circuit is an important part of the whole data acquisition system which affects holographic data generation. The digital control part is composed of digital signal processing (DSP), AD sampling, holographic digital filtering and other modules, and the intelligent algorithm part is the EEG signal recognition and matching holographic data through the algorithm to complete the holographic data generation.
The amplification circuit of the holographic BCI extracts the amplified EEG signal and sends it to AD for analogue-to-digital conversion. The AD sampling of the EEG signal is controlled by DSP, and then the digital EEG signal sampled by AD and sent to the holographic digital filtering by DSP. The filtered EEG signal is then recognised and matched by intelligent algorithm according to the holographic data in the holographic data tag library. Finally, the EEG holographic data is displayed and saved by various complex algorithms and parallel communication.
At present, HOLO’s holographic BCI system is still in its initial stage, and its main application goal is to assist medical rehabilitation medicine and expand and repair people’s cognitive or motor sensory functions. With the further development of BCI technology, it has also been used in aerospace, robotics, multimedia and other fields.
HOLO’s holographic BCI system opens up a variety of new information output channels for the brain, expanding the holographic display of the brain’s interaction with the outside world, contributing to a deeper understanding of the brain’s information transmission and control patterns and providing a transformative approach to the analysis of brain stimulation and neuronal interactions. It will significantly enrich the content of brain cognitive science and neuroinformatics. With broad application prospects, BCI technology will undoubtedly cause significant changes and innovations in how humans understand and change the world.
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