Active full finger rehabilitation equipment based on artificial intelligence technology

Abstract

A new type of active full-finger hand rehabilitation equipment based on artificial intelligence technology, including a sequentially connected portable EEG acquisition device, a physiological state analysis module, and hand rehabilitation equipment. The brain-controlled active training interface and the auxiliary brain-controlled training interface are both Wireless connection to the physiological state analysis module, the user selects the required hand rehabilitation training mode through the brain-controlled active training interface or the auxiliary brain-controlled training interface, and the portable EEG acquisition device is used to collect the user's EEG signals; the physiological state analysis module Receiving EEG signals, combined with transfer learning, intelligently recognizes the rehabilitation actions selected by the user and sends them to the brain-controlled active training interface or auxiliary brain-controlled training interface for display, and sends them to the hand rehabilitation equipment. The hand rehabilitation equipment analyzes the module according to the physiological state Recognize the rehabilitation action selected by the user, and make the corresponding finger or palm action to help the user perform hand movements. The invention can assist users to complete rehabilitation training.

Description

technical field [0001] The invention relates to a hand intelligent rehabilitation system. In particular, it relates to a new type of active hand full-finger rehabilitation equipment based on artificial intelligence technology. Background technique [0002] There are a huge number of stroke patients in my country, with various causes and a wide range. After a stroke, the brain area supplied by the onset blood vessels is damaged, resulting in unilateral or bilateral limb weakness. Patients need active exercise rehabilitation training to hope to restore the damaged hand motor function. In addition, for some patients with hand fractures or amputation surgery, rehabilitation training is also required to restore hand function. The main point of rehabilitation training is to restore the natural synchronization of brain consciousness and hand movements. Therefore, it is necessary to combine the consciousness signals of the human brain to cooperate with the rehabilitation movement...

AI Technical Summary

Problems solved by technology

[0004] EEG signal data has the characteristics of large quantity, many features, and rapid changes. After the data collection is completed, if artificial analysis is performed, a lot of time will be wasted and some important information will be missed.

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