智能化人机交互和场景模拟对脑卒中患者上肢运动功能的影响

摘要 目的：研究智能化人机交互和场景模拟对脑卒中患者上肢运动功能的影响，探索其在康复训练中的作用，为脑卒中患者康复提供新的治疗方法和方向。方法：选取2019年1月-2022年12月在我院接收治疗的80例脑卒中患者，按随机数字表法分为对照组和实验，每组40人，对照组接受常规康复治疗，实验组在常规康复治疗基础上增加智能化人机交互和场景模拟训练。比较两组Fugl-Meyer上肢运动功能量表评分（UE-FMA）、患者的生活自理能力Barthel指数、上肢功能测试（UEFT），患侧上肢腕背伸肌的改良Ashworh评分（MAS）以及徒手肌力评估（MMT）。比较两组患者满意度评分。结果：治疗后，两组患者UE-FMA评分与治疗前相比均提高，且实验组显著高于对照组（P<0.05）；治疗后，两组患者MBI评分与治疗前相比均提高，且实验组显著高于对照组（P<0.05）；治疗后，两组患者UEFT评分与治疗前相比均提高，且实验组显著高于对照组（P<0.05）；治疗后，两组患者MMT评分与治疗前相比均提高，且实验组显著高于对照组（P<0.05）治疗后，两组患者MAS评分与治疗前相比均降低，且实验组显著低于对照组（P<0.05）；与对照组相比，实验组满意度95%，高于对照组80%（P<0.05）。结论：智能化人机交互和场景模拟训练对脑卒中患者的上肢运动功能有积极的影响，可以有效改善患者的康复效果。

The Impact of Intelligent Human-computer Interaction and Scene Simulation on Upper Limb Motor Function in Stroke Patients

ABSTRACT Objective: To study the effects of intelligent human-computer interaction and scene simulation on upper limb motor function of stroke patients, explore their role in rehabilitation training, and provide new treatment methods and directions for stroke patients'' rehabilitation. Methods: 80 stroke patients who received treatment in our hospital from January 2019 to December 2022 were selected and randomly divided into a control group and an experiment using a random number table method. Each group consisted of 40 people. The control group received routine rehabilitation treatment, while the experimental group received intelligent human-machine interaction and scene simulation training on the basis of routine rehabilitation treatment. Compare two groups of Fugl Meyer Upper Limb Motor Function Scale scores (UE-FMA), Barthel Index of Patient''s Self care Ability, Upper Limb Function Test (UEFT), Modifid Ashworth score(MAS) and manuanl muscle test(MMT) of Dorsal extensor carpal muscle on the affected upperlimp. Compare the satisfaction scores of two groups of patients. Results: After treatment, the UE-FMA scores of both groups of patients improved compared to before treatment, and the experimental group was significantly higher than the control group(P<0.05); After treatment, the MBI scores of both groups of patients improved compared to before treatment, and the experimental group was significantly higher than the control group(P<0.05); After treatment, the UEFT scores of both groups of patients increased compared to before treatment, and the experimental group was significantly higher than the control group (P<0.05); After treatment, the MMT scores of both groups of patients increased compared to before treatment, and the experimental group was significantly higher than the control group(P<0.05). After treatment, the MAS scores of both groups of patients decreased compared to before treatment, and the experimental group was significantly lower than the control group (P<0.05); Compared with the control group, the satisfaction rate of the experimental group was 95%, which was 80% higher than that of the control group(P<0.05). Conclusion: Intelligent human-computer interaction and scene simulation training have a positive impact on the upper limb motor function of stroke patients and can effectively improve their rehabilitation outcomes.