Statistics show that after ictus, only 15% of patients can recover about half of their mano función, and only 3% of patients can recover more than 70% of their original mano función. It has become a major trend in the rehabilitación field to explore effective rehabilitación tratamiento methods and promote the recuperación of patients' mano función. Therefore, the combination of task-oriented training and emerging rehabilitación technology has gradually become an indispensable rehabilitación tratamiento technology for mano función rehabilitación. The emergence of mano función rehabilitación robots has brought new ideas for the rehabilitación of mano función after ictus.
This article will briefly share the intelligent soft mano rehabilitación robot and brain-computer interface mano-función robot.
Intelligent soft mano rehabilitación robot
The intelligent soft mano función rehabilitación robot combines robotic technology and neuroscience, and can provide various training modes such as passive, asistencia, resistance, bilateral mirror and active games. It is a mano función rehabilitación robot that fully covers the period from soft paralysis to rehabilitación. In the process of robot-assisted training, bilateral mirror terapia and motor imagery were combined to realize the integrated tratamiento of central intervention and peripheral intervention.
With the intelligent soft mano rehabilitación robot, patients can stimulate the motor cortex of the brain through multi-modal stimulation through visual, auditory and tactile sensory stimulation to form a closed-loop rehabilitación training and mejorar the paciente's willingness to actively participate in mano función rehabilitación training to promote the recuperación of the paciente's motor función. At the same time, in bilateral mirror terapia, the healthy mano drives the affected mano to exercise, which can further mejorar the neuroplasticity of the brain.
brain-computer interface mano-función robot
The addition of new methods makes the closed-loop rehabilitación model of central-peripheral-central a clinically important rehabilitación theory. Central intervention can promote the activation of the corresponding functional brain areas of the brain and mejorar brain neuroplasticity. Peripheral intervention continuously strengthens the positive feedback of sensory and motor control modes to the brain center. The combination of the two modes promotes the remodeling of brain función in ictus patients. The brain-computer interface has become the best choice to realize the closed-loop rehabilitación mode.
Brain-computer interface training will give patients VR visual and auditory dual stimulation, so that they can perform motor imagination of the affected mano movements, so as to control the exoesqueleto rehabilitación robot to complete the mano grasping and opening movements. Through brain-computer interface training, patients repeatedly imagine the grasping and opening movements of the affected mano in their brains, and the generation of actual movements assisted by exoesqueleto robots achieves a high degree of matching between motor intentions and behavioral movements, which is more conducive to Remodeling of the cerebral cortex.
At present, the brain-computer interface mano función rehabilitación robot has gradually been recognized by patients.
The picture below shows the paciente's motor imagination task of mano grasping and opening according to the display screen and voice prompts. Each action has 3 imagination opportunities. While the paciente is performing motor imagery, the EEG dispositivo can collect the characteristic EEG signals of the cerebral motor cortex through the collector.

If the paciente can accurately complete the motor imagery task within 3 times, the EEG signal will complete the signal extraction and feature conversion through the signal converter, and then control the exoesqueleto manipulator to help the paciente complete the corresponding grasping or opening action; If the motor image cannot be accurately completed within 3 chances, the EEG signal converter cannot be triggered to complete the movimiento of the exoesqueleto manipulator. According to the paciente's performance, the system will score the paciente's degree of completion, which also improves the paciente's enthusiasm for participating in the training.
However, at present, there are still some problems with mano función rehabilitación robots commonly used in clinical practice. It is hoped that such problems can be improved in future research.