Document Type : Review Articles

Authors

• Mahdi Bamdad ¹
• Homayoon Zarshenas ²
• Hadi Grailu ³

¹ Assistant Professor, Mechanical Engineering Department, Mechatronic Research Lab, Shahrood university of technology, Shahrood, Iran

² MS Graduate Student, Mechatronics engineering, Mechatronic Research Lab, Shahrood university of technology, Shahrood, Iran

³ Assistant Professor, Electrical Engineering Department, Shahrood university of technology, Shahrood, Iran

Abstract

AbstractIntroduction: Disorders that occur after stroke or nervous system diseases restrict the motion and speech ability in patients for long time. Developments in the field of brain computer interface (BCI) make it possible to identify and classify electrical and metabolic brain activities and convert them to control commands for computer or specific equipment.Materials and Methods: General purpose of BCI is to create a lost ability or improve a depleted ability for human. So three major application of BCI system are: create the possibility of limbs motion, speech ability and controlling different equipment for daily tasks. In order to assess the progress in these areas, relevant papers to this subject that have been presented in prestigious journals and conferences have been studied.Results: Concepts and fundamental principles of brain computer interface (BCI) beside the technologies that used in this field and recent advances in BCI system performance improvement is presented in this paper. And finally potential of using BCI system is presented and some works that is important for enhance BCI usage in rehabilitation has been discussed.Conclusion: In the last 20 years, many efforts have done for improving efficiency and data transformation rate in BCI systems based on EEG. In order to achieve to this goal a high-speed data exchange system between brain and computer is needed. So far, various approaches for building a communication without delay between brain commands and generated control commands are introduced.Keywords: Electro encephalography signals, Brain computer interface, Rehabilitation