Application prospect of brain-computer interface technology in the rehabilitation of lower limb function in stroke patients
BACKGROUND:In recent years,brain-computer interface technology has emerged as a transformative approach in human-computer interaction by recognizing movement intentions to control external devices.This technology has been utilized in the treatment of lower limb functions after stroke,offering new hope for the rehabilitation of stroke patients.OBJECTIVE:To analyze and summarize the application of brain-computer interface technology in the rehabilitation of lower limb motor functions in stroke patients in recent years,and to explore the clinical application value of brain-computer interface technology in the functional rehabilitation of the lower limbs in stroke patients.METHODS:A literature search in CNKI and PubMed was conducted using"stroke,brain-computer interfaces,lower extremity"as search terms in Chinese and English,respectively,with the search time range set from January 2014 to June 2024.RESULTS AND CONCLUSION:Brain-computer interfaces hold promising prospects for the recovery of lower limb motor function in stroke patients,and their application in the field of rehabilitation medicine is continuously expanding.However,the underlying mechanisms have not yet been fully elucidated.Moreover,there are certain limitations in the acquisition of electroencephalogram signals from patients,resulting in reduced precision for brain-computer interface systems in recognizing limb movements.Current decoding methods also exhibit constraints in identifying the gait cycle and fail to accurately locate voluntary movements of the various joints and muscles of the lower limbs,impeding the application of brain-computer interface technology.Subsequent research should focus on elucidating the neural mechanisms by which brain-computer interface technology facilitates the recovery of lower limb motor functions in stroke patients,refining the technologies and devices for extracting brain motor signals,and formulating multimodal feedback for individual patients to realize more effective motor rehabilitation.These advances could propel the development of brain-computer interface technology in the field of lower limb motor function recovery,ameliorate patient rehabilitation outcomes,and elevate the quality of life.
万方数据
维普
