Abstract
Electroencephalographic data modeling is widely used in developing applications in the areas of healthcare, as well as brain-computer interface. One particular study is to use meditation research to reach out to the high-end applications of EEG data analysis in understanding human brain states and assisting in promoting human healthcare. The analysis of these states could be the initial step in a process to first predict and later allow individuals to control these states. To this end, the authors begin to build a system for dynamic brain state analysis using EEG data. The system allows users to transit EEG data to an online database through mobile devices, interact with the web server through web interface, and get feedback from EEG data analysis programs on real-time bases. The models perform self-adjusting based on the data sets available in the database. Experimental results obtained from various machine-learning algorithms indicate great potential in recognizing user's brain state with high accuracy. This method will be useful in quick-prototyping onsite brain states feedback systems.
Highlights
Using electroencephalographic (EEG) data, cognitive psychologists can visualize and observe correlations between different active brain states
One particular study is to use meditation research to reach out to the high-end applications of EEG data analysis in understanding human brain states and assisting in promoting human healthcare. The analysis of these states could be the initial step in a process to first predict and later allow individuals to control these states
Last decade witnessed the development of cheap EEG devices, for example, EPOC from Emotiv and NeuroSky, and increasing interest in EEG based brain-computer interfaces (BCI)
Summary
Using electroencephalographic (EEG) data, cognitive psychologists can visualize and observe correlations between different active brain states. A platform for comprehensive EEG data storage and processing is desirable to promoting applications of using EEG tools in both physiological (e.g., clinical uses, sleep evaluation, fatigue detection, etc.) and psychological (cognitive sciences, BCI, etc.) scopes Such a platform consists of EEG data collection devices (viz., EEG headset), communication channels (e.g., smart phones), a web server that provides a web interface for users to access stored EEG data and activate data analysis algorithms, and an online database for EEG data storage and processing (Subedi et al, 2016). In a 6-week mindfulness-based stress reduction program, subjects assigned to the program demonstrated significant improvements in psychological status and quality of life compared with usual care (Lengacher et al, 2009) Another comparison is found where a group of Qigong practitioners were compared to a control group and positive indicators were found in the study (Oh et al, 2008). As a showcase of the usefulness of the dynamic modeling system, we present a simple dynamic model for a set of selected brain states, including meditation
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