Effect of Dual-task Training on the Number of EEG Band in Stroke Patients

Stroke is a prevalent global health concern, causing widespread disability as it disrupts blood supply to the brain, leading to functional impairments. Upper limb dysfunction affects over 80% of stroke survivors acutely and becomes permanent in approximately 60%, hindering daily activities and autonomy. Dual-task training (DTT), involving simultaneous cognitive and motor tasks resembling daily activities, is proposed as an effective intervention. The study suggests using electroencephalogram (EEG) analysis, particularly the Fast Fourier Transform (FFT), to assess changes in brain signals pre- and post-DTT intervention. EEG provides real-time insights into brain function, and FFT analyzes signal frequencies. The intervention involves three tasks performed concurrently with mental calculations, such as sorting blocks and manipulating objects. This 12-session, four-week intervention aims to improve upper limb function. The study explores EEG's role in evaluating DTT effects on stroke patients, particularly using FFT to analyze brain signal frequencies.