Scientific Conferences of Ukraine, 6th International Conference High Performance Computing HPC-UA 2020

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Multimodal Data Integration and Processing Method for Brain-Computer Interface Research
Kostiantyn Kostiukevych, Nikita Gordienko, Oleksandr Rokovyi, Oleg Alienin, Sergii Stirenko, Yuri Gordienko

Last modified: 2021-10-18

Abstract


Rapidly growing demand for investigations of human physical and mental activities is dictated by the necessity of online monitoring and immediate diagnosis of health conditions at home or in the field. Therefore, the need for a mobile system appears for online biometric data collection by different sensors in wearable electronics. A prototype system was developed to collect multimodal data from many sensors and several sources.The proposed system, based on the example of the integration of electroencephalography (EEG) data, makes it possible to capture such multimodal EEG data from the brain-computer interface (BCI), to control, automatically mark data and store them on the server. In this way, EEG data can be used later for further analysis and can greatly facilitate the work of researchers and health professionals. The main advantages of the developed system compared to the available systems are its openness, mobility, speed of collection, transmission, and security of personal health data.

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