Integrating EEG Modality in Serious Games for Rehabilitation of Mental Patients

摘要: In order to develop an effective autonomous rehabilitative training solution with serious games for use occupational therapy of mental patients, the authors postulate that a could come from combining human performance engineering cognitive science. Conventional physical task metrics are insufficient in assessing overall patients. Ideally, state subject should be assessed conjunction motor better evaluate rehabilitation progress observe and subjects, noninvasive scalp EEG was used. The readings were then analyzed using Lempel–Ziv complexity (LZC) spectral analysis. objective this study is compare against corresponding analysis enables identification possible neural markers gauging activity pertinent mastery simple tasks. Results identify LZC values theta low alpha frequency band central, occipital, parietal regions can possibly used as markers.