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Cleaning and Analyzing the EEG dataset
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This project focuses on cleaning raw EEG (electroencephalography) data using Python tools, especially the MNE library. EEG data often contains unwanted signals or "artifacts" like eye blinks, muscle movements, and electrical noise that can interfere with brain signal analysis. Cleaning this data is an essential step before using it for any scientific or machine learning research.
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Systematic Review: An Evaluation of Dance Therapy Methods through the Analysis of its Impacts on Neuroplasticity
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Dance movement therapy (DMT) is a novel field of psychotherapy that emerged due to its unique methodology of incorporating expressive movement as the core foundation of therapeutic intervention. This paper aims to review literature regarding the methods in which (DMT) is executed and assess their outcome and effectiveness by examining its impact DMT on neuroplasticity. DMT methodology has a large potential to be an effective option for psychological disorders by transcending the barriers of verbal communication. Moreover, research has also shown DMT is superior to physical exercise in maintaining physical health for neurodegenerative patients. However, due to the heterogeneity of DMT methodology and execution, there is a lack of quantitative research on its effectiveness, hindering evidence-based studies and impacting its clinical use.This study aims to fill in that gap between qualitative and quantitative measures by integrating the impact of DMT on neuroplasticity to solidify the scope of its effectiveness.
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