Sarhan Saad M, Al-Faiz Mohammed Z, Takhakh Ayad M
Department of Biomedical Engineering, College of Engineering, Al-Nahrain University, Baghdad, Iraq.
Department of Control and Computer, College of Information Engineering, Al-Nahrain University, Baghdad, Iraq.
Heliyon. 2023 Jul 20;9(8):e18308. doi: 10.1016/j.heliyon.2023.e18308. eCollection 2023 Aug.
Stroke is a common worldwide health problem and a crucial contributor to gained disability. The abilities of people, who are subjected to stroke, to live independently are significantly affected since affected upper limbs' functions are essential for our daily life. This review article focuses on emerging trends in BCI-controlled rehabilitation techniques based on EMG, EEG, or EGM + EEG signals in the last few years. Working on developing rehabilitation robotics, is considered a wealthy scientific area for researchers in the last period. There is a significant advantage that the human acquires from the interaction between the machine and his body, rehabilitation for a patient's limb is very important to get the body limb recovery, and this is what is provided mostly by applying robotic devices.
中风是一个全球性的常见健康问题，也是导致残疾的关键因素。中风患者的独立生活能力会受到显著影响，因为上肢功能对日常生活至关重要。本文综述了近年来基于肌电图（EMG）、脑电图（EEG）或肌电图+脑电图信号的脑机接口控制康复技术的新趋势。在过去一段时间里，致力于开发康复机器人技术被认为是一个富有成果的科学领域。人与机器及其身体之间的交互能给人类带来显著益处，对患者肢体进行康复训练对于肢体恢复非常重要，而这主要通过应用机器人设备来实现。
