临床的 Research Collection | A wearable EEG-based Assistive BCIs System for 卒中 康复 - 卒中 中心 - 司羿 智能的

Research background

The combination of BCI and auxiliary 机器人 is a new 治疗 for 卒中康复. However, most of the existing study is based on complex system setups, expensive and bulky 设备. In this study, a wearable EEG 脑机接口 system for 手 功能 康复 is designed to do clinial trial. This system is composed of customized EEG cap, commercial amplifier, and 手 外骨格. In addition, the system includes the visual interface for the convenience of users. The trial enrolled six healthy participants and two 卒中 患者 to verify the safety and effectiveness of the system.

Method

To verify the safety and effectiveness of the system, 6 healthy subjects(1 female and 5 males, aged 23±3 years old) from Shanghai Jiao Tong University and 2 卒中 患者(所有的 right 手 affected) from the 康复 department of Huashan Hospital were recruited to participate in the study. A 6-minute training session was conducted for each subject, in which the subjects performed right-手 运动 execution(卒中 患者’s affected 手 to make a movement attempt) according to visual cues. A red rectangle appears on the right or 中心 of the screen, indicating action execution (or attempt) or rest, respectively. The task lasts for 4 seconds until the white cross disappears. It is recommended that healthy subjects repeat clenching and extending fists 3-4 times, and 卒中 患者 are instructed to make 运动 attempts during 运动 tasks. The online test was similar to the training session, except that 所有的 red rectangles appeared in the 中心 of the screen, which allowed subjects to choose to 移动 their 手 (or exercise attempt) or rest at will. Test results are provided to users visual and proprioceptive feedback via a screen and 手 外骨格 shortly after task completion. There are three online test runs, each containing 20 trials. Each subject may rest between runs. 所有的 subjects were asked to refrain from any additional facial or 手臂 muscle movement throughout the experiment.

Result

The average accuracy of offline and online training is 84.91% and 79.38%, respectively. Seven subjects had online accuracy of more than 70%, five more than 80%, and one more than 90%.

The Event-相关的 Spectral Perturbation(ERSP) showed that the sensorimotor cortex was activated in both α and β bands during right 手 movement training, with stronger activation on the 相同的 side. Meanwhile, as expected, the uncontrolled state showed no significant activation on either the C3 or C4 channels. In the online test, both the left and right hemispheres were activated to perform right-handed movements.

 

Conclusion

This study demonstrates a wearable 脑机接口 system for 手 功能 康复 after 卒中. The results of 运动 task differentiation preliminarily confirm the feasibility of this 设备, which shows great 临床的 application potential.

Reference: Qin Z, Xu Y, Shu X, et al. eConHand: A Wearable Brain-Computer Interface System for 卒中 康复[C]// 2019 9th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE, 2019.