Speaker - Dr. Lan Yue LanDirector of Rehabilitation Medicine Department of Guangzhou First People's Hospital Live Broadcast Excerpts Good evening, fellow experts and comrades. I’m very glad to receive the invitation, and tonight I will share with you some of the applications of non-invasive neuromodulation technology, mainly transcranial magnetic stimulation, in swallowing function research and rehabilitation.... Read more
Speaker - Dr. Wu Yi WuProfessor, PhD SupervisorDirector of Rehabilitation Medicine Department, Huashan Hospital Affiliated to Fudan University; Dean, Department of Rehabilitation Medicine, Shanghai Medical College, Fudan University. Live Broadcast Excerpts Hello everyone, I am Yi Wu from the Department of Rehabilitation Medicine, Huashan Hospital Affiliated to Fudan University. It is a great honor to have the opportunity... Read more
speaker - Dr. Deng Live date: June 30, 2022 It is a great honor to invite Dr. Deng from the Medical Technology Department of Peking University Sixth Hospital to give a report in this lecture. The title of the report is: Application of non-invasive neuromodulation technology in sleep medicine research. The following are some excerpts from the live broadcast. (Excerpts from... Read more
Using transcranial magnetic stimulation (TMS) ----one kind of brain stimulation device,to regulate the function of brain neural circuits is becoming a new method for studying and treating various diseases. Previously, we have introduced how to improve the therapeutic effect of TMS from the perspective of temporal accuracy and situational accuracy. Today, we mainly share with... Read more
Non-invasive neuromodulation technology is a bioengineering technology that uses non-implantable technology to stimulate nerve fibers physically or with drugs to regulate neuronal activity, so as to achieve certain therapeutic effects. Non-invasive regulation has many advantages, such as painless, safe, inexpensive and adjustable parameters and targets, so it has broad prospects for development in the future.... Read more
By collecting and analyzing resting-state EEG signals of insomnia patients for a few minutes, it is possible to predict the effectiveness of rTMS treatment in patients. Kai Yuan's research group from Xidian University, Yifei Zhu's team from the Department of Psychosomatic Medicine of the Second Hospital of Hebei Medical University, and Dahua Yu's research group... Read more
