Brain Computer Interface (BCI) - Functional Electrical Stimulation (FES) Control System of Knee Joint Movement for Paraplegic

Abstract

Stroke was defined as a clinical syndrome characterized by World Health Organization (WHO) which mean the clinical signs of focal disturbance of cerebral function was rapidly developing [1]. This brain injury type has two main types which were ischemic stroke and the other was hemorrhagic stroke. The Ischemic stroke can happen from occlusion of or low flow in one or more vessels by blood clots or other particles. There has four types of human brainwave which were alpha, beta, theta and delta [2]. The common used was alpha and beta signal. The electroencephalogram (EEG) is defined as electrical activity happen in human brain. This signal can be measure. There are twenty subjects were participate in this study. They were 50% male and 50% female and 70% were normal subject while the others were stroke subject in early group (EG). The Fuzzy logic based mapping mechanism system has been used in this study in order to classify the subjects into the group; Lower group (LG) or Upper group (UG). From here their brainwave, alpha and beta will be combined in the mapping mechanism system. Each group had their own range. From the range, mapping mechanism system can classify all the subjects into their new groups. All average reading was still in the correct range. So the classify process can be done. All subjects have successfully be classified into their group either upper group or lower group. The range of each group had played big role in order to make sure the mapping mechanism system can perform perfectly.