| 摘要: |
| ［摘要］ 目的 观察基于人工智能物联网（AIoT）的脑卒中步行可穿戴设备在缺血性脑卒中患者康复训练中的应用效果。方法 选取2023年1月至2024年12月深圳市龙岗中心医院收治的100例缺血性脑卒中患者，按照随机数字表法将其分为对照组和观察组，各50例。对照组行常规康复训练，观察组在每日完成常规康复训练的基础上增加基于AIoT的脑卒中步行可穿戴设备进行步行训练。比较两组患者治疗前和治疗4周后的Holden步行功能分级、下肢改良Ashworth肌张力分级、下肢Brunnstrom分级、关节活动度和步态情况。结果 治疗前两组Holden步行功能分级、下肢改良Ashworth肌张力分级、下肢Brunnstrom分级、关节活动度、步态情况比较差异无统计学意义（P>0.05）。治疗后两组Holden步行功能分级、下肢改良Ashworth肌张力分级、下肢Brunnstrom分级、关节活动度、步态情况均较治疗前改善，且观察组改善程度优于对照组，差异有统计学意义（P<0.05）。结论 基于AIoT的脑卒中步行可穿戴设备应用于缺血性脑卒中患者康复训练，可显著改善患者的步行功能、下肢肌张力、运动功能及关节活动度。 |
| 关键词: 缺血性脑卒中 康复 人工智能物联网 步行可穿戴设备 |
| DOI：10.3969/j.issn.1674-3806.2025.11.16 |
| 分类号: |
| 基金项目:深圳市龙岗区医疗卫生技术攻关项目（编号：LGKCYLWS2022036） |
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| An observational study of application effect of AIoT-based wearable devices for walking with the function of treating stroke on rehabilitation training of ischemic stroke patients |
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WANG Lei, SU Haoqiang, MA Hongdan, ZHU Meiying, OU Jiayuan, LI Jinbao, LYU Zheng
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Department of Rehabilitation Medicine, Longgang Central Hospital of Shenzhen, Shenzhen 518000, China
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| Abstract: |
| ［Abstract］ Objective To observe the application effect of Artificial Intelligence of Things(AIoT) wearable devices for walking with the function of treating stroke on rehabilitation training of ischemic stroke patients. Methods One hundred patients with ischemic stroke who were admitted to Longgang Central Hospital of Shenzhen from January 2023 to December 2024 were selected. The patients were divided into control group and observation group according to random number table method, with 50 patients in each group. The control group received routine rehabilitation training, while the observation group received walking training with AIoT-based wearable devices with the function of treating stroke plus daily routine rehabilitation training. The Holden Functional Walking Classification, modified Ashworth Scale for lower limb muscle tension, Brunnstrom Classification for lower limbs, joint range of motion and gait conditions were compared between the patients in the two groups before treatment and 4 weeks after treatment. Results Before treatment, there were no statistically significant differences in the grades of Holden Functional Walking Classification, grades of modified Ashworth Scale for lower limb muscle tension, grades of Brunnstrom Classification for lower limbs, joint range of motion and gait conditions between the two groups(P>0.05). After treatment, the grades of Holden Functional Walking Classification, grades of modified Ashworth Scale for lower limb muscle tension, grades of Brunnstrom Classification for lower limbs, joint range of motion and gait conditions in the two groups were improved compared with those before treatment, and the improvements in the observation group were better than those in the control group, with statistically significant differences. Conclusion The application of AIoT-based wearable devices for walking with the function of treating stroke in rehabilitation training for patients with ischemic stroke can significantly improve their walking function, lower limb muscle tension, motor function and joint range of motion. |
| Key words: Ischemic stroke Rehabilitation Artificial Intelligence of Things(AIoT) Wearable devices for walking |
