智能技术在卒中康复中的应用进展

doi:10.3969/j.issn.1673-5765.2022.06.019

摘要/Abstract

摘要： 卒中患者大多遗留运动、认知、语言等功能障碍导致其日常生活需要大量帮助，给家庭及社会带来了沉重的负担。康复治疗可促进卒中患者的功能恢复，但常规康复治疗存在诸多限制，面对卒中患者巨大的康复需求，应采取更加有效的治疗手段。智能康复新技术主要包括虚拟现实、脑机接口和康复机器人技术等，可提高卒中患者的神经可塑性并改善其运动、认知及语言等功能，其中联合不同智能技术的康复训练效果优于单独应用的效果。但目前智能技术在卒中康复中的应用不足，且高质量的研究证据较少。未来应积极探索智能新技术的最佳干预时机和循证治疗方案，研发更加安全、高效的康复新设备，进行高质量的随机对照试验，以促进不同智能技术的联合治疗在卒中康复中的推广及应用。

文章导读： 本文阐述了智能康复新技术对卒中患者的运动、认知及语言功能的影响。未来应促进不同智能技术联合治疗在卒中康复中的推广及应用。

关键词: 康复; 虚拟现实; 脑机接口; 康复机器人; 卒中

Abstract:

Most stroke patients are left with multiple dysfunction such as movement, cognition, and language disorders, so they require a lot of help in their daily lives, which bring a heavy burden to the family and society. However, there are many limitations in conventional rehabilitation treatment, and more effective treatment should be taken in face of the huge rehabilitation needs of stroke patients. New intelligent rehabilitation technologies mainly include virtual reality, brain-computer interface and robot-assisted rehabilitation, which can enhance neuroplasticity and improve motor, cognition and language function of stroke patients. The rehabilitation effect of traditional rehabilitation technology combined with intelligent technologies is superior to that of traditional rehabilitation technology alone. However, at present, the application of intelligent technologies is underused in stroke rehabilitation and the high-quality research evidence is still scarce. In the future, we should actively explore the best intervention time and evidence-based intelligent technologies, develop safer and more efficient rehabilitation facilities, and carry out high-quality randomized controlled trials, to promote the application of intelligent technologies in stroke rehabilitation.

Key words: Rehabilitation; Virtual reality; Brain-computer interface; Robot-assisted rehabilitation; Stroke

康晓宇, 刘丽旭. 智能技术在卒中康复中的应用进展[J]. 中国卒中杂志, 2022, 17(06): 658-663.

KANG Xiaoyu, LIU Lixu. The Progress in Application of Intelligent Technology in Stroke Rehabilitation[J]. Chinese Journal of Stroke, 2022, 17(06): 658-663.

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