Mengjie Li
South China University of Technology
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Publication
Featured researches published by Mengjie Li.
ieee region 10 conference | 2015
Zhijiang Lu; Weiguang Li; Mengjie Li; Zhengzhi Wu; Lihong Duan; Zhongqiu Li; Xicui Ou; Chunbao Wang; Lin Wang; Jian Qin; Yulong Wang; Jianjun Long; Meiling Huang; Quihong Wang
In recent years, rehabilitation robot has been a trend to replace traditional therapist rehabilitation on hemiplegic rehabilitation. Researchers have proposed many ankle rehabilitation robots on ankle rehabilitation training. However, most of them are only focusing on single freedom training or providing a passive training to the patient. In this paper, a novel ankle robot with 3 freedoms which combines the active training with passive training together is presented. To build the ankle physiological model, an experiment to detect the ankle physiological data is established. And based on the data, an ankle rehabilitation robot with three degrees is proposed. In order to detect the dynamic movements of the ankle, the robot embeds force sensors and motor encoders. Then, the detail design of the mechanism is introduced. There are pedal parts, thigh fixing parts, base, driving unit and sensing unit in mechanism. Each part of the ankle robot is introduced in detail. Comparing with the other ankle rehabilitation robots, this robot uses three blushless motors to direct three rotation motions directly, and the whole structure is simple and reliable.
ieee international conference on cyber technology in automation control and intelligent systems | 2015
Zhijiang Lu; Chunbao Wang; Lihong Duan; Mengjie Li; Qing Shi; Lin Wang; Massimiliano Zecca; Atsuo Takanishi; Weiguang Li; Zhengzhi Wu
Ankle rehabilitation training takes an important role in the hemiplegic rehabilitation training. Traditional training requires the physical therapist treating the patient as one to one. The training process is repeating and needs a long period. The performances of training rely heavily on the skill of therapists. The training effectiveness depends on the skills of the therapist. To improve the training effectiveness, there are many ankle rehabilitation robots are proposed. However all of them are only focusing on providing a passive training to the patient. In this paper, an ankle rehabilitation robot with three degrees is proposed. This robot can not only realizes the passive training but also has much more sensors to detect the movements of the ankle, especially realizes the patient active training. In this paper, the detail design of the mechanism is introduced. The mechanical structure includes pedal parts, thigh fixing parts, cross slider parts, driving unit and sensing unit. Comparing with current ankle rehabilitation researches, this robot uses linear motion in horizontal and vertical plane instead of rotary motion to realize dorsiflexion/plantar flexion and abduction/adduction. Finally, we present ankle motion space analysis and ankle robot workspace analysis of ankle robot to verify the feasibility of the robot.
ieee region 10 conference | 2015
Chunbao Wang; Lin Wang; Jian Qin; Zhengzhi Wu; Lihong Duan; Zhongqiu Li; Xicui Ou; Weiguangli; Zhijiang Lu; Mengjie Li; Yulong Wang; Jianjiui Long; Meiling Huang; Qinliong Wang
Up to now, with the developments of society, aging problems are more serious. With the requirements of rehabilitation, a large of hemiplegia rehabilitation devices are launched out. But most of the hand training robots just limit to the fingers flexible training. They ignored the importance of functional training of hand, and ignore wrist cooperative training in the rehabilitation process. In this paper, a novel finger and wrist rehabilitation robot will be introduced for hemiplegia rehabilitation, a creative hand rehabilitation way is presented. Two rehabilitation units are included -wrist rehabilitation unit and hand rehabilitation unit. Novel torque sensor units with a simple structure are designed to detect torque. The detail of the sensor is introduced in the paper. The proposed finger and wrist rehabilitation robot leads to further research on the rehabilitation robot.
international conference on information and automation | 2015
Chunbao Wang; Lin Wang; Jian Qin; Zhengzhi Wu; Lihong Duan; Zhongqiu Li; Mequn Cao; Xicui Ou; Xia Su; Weiguang Li; Zhijiang Lu; Mengjie Li; Yulong Wang; Jianjun Long; Meiling Huang; Yinghong Li; Qiuhong Wang
international conference on information and automation | 2015
Chunbao Wang; Zhijiang Lu; Yulong Wang; Mengjie Li; Lihong Duan; Yajing Shen; Jianjun Wei; Qing Shi; Massimiliano Zecca; Weiguang Li; Zhengzhi Wu
international conference on information and automation | 2015
Chunbao Wang; Lin Wang; Jian Qin; Zhengzhi Wu; Lihong Duan; Zhongqiu Li; Meiqun Cao; Weiguang Li; Zhijiang Lu; Mengjie Li; Yulong Wang; Jianjun Long; Meiling Huang; Yinghong Li; Qiuhong Wang
international conference on information and automation | 2015
Chunbao Wang; Lin Wang; Jian Qin; Zhengzhi Wu; Lihong Duan; Meiqun Cao; Zhongqiu Li; Weiguangli; Zhijiang Lu; Yunzhi Ling; Mengjie Li; Yulong Wang; Jianjun Long; Meiling Huang; Yinghong Li; Qiuhong Wang
ieee international conference on cyber technology in automation control and intelligent systems | 2016
Zhixiang Lu; R.x. Luo; Chunbao Wang; Lihong Duan; Qihong Liu; Tongyang Sun; H.q. Chen; Z.l. Yu; Mengjie Li; Yajing Shen; Jianjun Long; Yulong Wang; Jianjun Wei; Weiguang Li; Qing Shi; Jian Qin; Zhengzhi Wu
ieee international conference on cyber technology in automation control and intelligent systems | 2016
Tongyang Sun; Z.l. Yu; Chunbao Wang; Lihong Duan; Qihong Liu; Zhixiang Lu; H.q. Chen; R.x. Luo; Mengjie Li; Yajing Shen; Jian Qin; Jianjun Long; Yulong Wang; Jianjun Wei; Weiguang Li; Qing Shi; Zhengzhi Wu
international conference on information and automation | 2015
Chunbao Wang; Lihong Duan; Mengjie Li; Zhijiang Lu; Yajing Shen; Jianjun Wei; Qing Shi; Yulong Wang; Massimiliano Zecca; Weiguang Li; Zhengzhi Wu