PDF(Pubmed)
Abstract：
OBJECTIVE: Through a randomized controlled trial on older adults with sarcopenia, this study compared the training effects of an AI-based remote training group using deep learning-based 3D human pose estimation technology with those of a face-to-face traditional training group and a general remote training group.
METHODS: Seventy five older adults with sarcopenia aged 60-75 from community organizations in Changchun city were randomly divided into a face-to-face traditional training group (TRHG), a general remote training group (GTHG), and an AI-based remote training group (AITHG). All groups underwent a 3-month program consisting of 24-form Taichi exercises, with a frequency of 3 sessions per week and each session lasting 40 min. The participants underwent Appendicular Skeletal Muscle Mass Index (ASMI), grip strength, 6-meter walking pace, Timed Up and Go test (TUGT), and quality of life score (QoL) tests before the experiment, during the mid-term, and after the experiment. This study used SPSS26.0 software to perform one-way ANOVA and repeated measures ANOVA tests to compare the differences among the three groups. A significance level of p < 0.05 was defined as having significant difference, while p < 0.01 was defined as having a highly significant difference.
RESULTS: (1) The comparison between the mid-term and pre-term indicators showed that TRHG experienced significant improvements in ASMI, 6-meter walking pace, and QoL (p < 0.01), and a significant improvement in TUGT timing test (p < 0.05); GTHG experienced extremely significant improvements in 6-meter walking pace and QoL (p < 0.01); AITHG experienced extremely significant improvements in ASMI, 6-meter walking pace, and QoL (p < 0.01), and a significant improvement in TUGT timing test (p < 0.05). (2) The comparison between the post-term and pre-term indicators showed that TRHG experienced extremely significant improvements in TUGT timing test (p < 0.01); GTHG experienced significant improvements in ASMI and TUGT timing test (p < 0.05); and AITHG experienced extremely significant improvements in TUGT timing test (p < 0.01). (3) During the mid-term, there was no significant difference among the groups in all tests (p > 0.05). The same was in post-term tests (p > 0.05).
CONCLUSIONS: Compared to the pre-experiment, there was no significant difference at the post- experiment in the recovery effects on the muscle quality, physical activity ability, and life quality of patients with sarcopenia between the AI-based remote training group and the face-to-face traditional training group. 3D pose estimation is equally as effective as traditional rehabilitation methods in enhancing muscle quality, functionality and life quality in older adults with sarcopenia.
BACKGROUND: The trial was registered in ClinicalTrials.gov (NCT05767710).
METHODS: Seventy five older adults with sarcopenia aged 60-75 from community organizations in Changchun city were randomly divided into a face-to-face traditional training group (TRHG), a general remote training group (GTHG), and an AI-based remote training group (AITHG). All groups underwent a 3-month program consisting of 24-form Taichi exercises, with a frequency of 3 sessions per week and each session lasting 40 min. The participants underwent Appendicular Skeletal Muscle Mass Index (ASMI), grip strength, 6-meter walking pace, Timed Up and Go test (TUGT), and quality of life score (QoL) tests before the experiment, during the mid-term, and after the experiment. This study used SPSS26.0 software to perform one-way ANOVA and repeated measures ANOVA tests to compare the differences among the three groups. A significance level of p < 0.05 was defined as having significant difference, while p < 0.01 was defined as having a highly significant difference.
RESULTS: (1) The comparison between the mid-term and pre-term indicators showed that TRHG experienced significant improvements in ASMI, 6-meter walking pace, and QoL (p < 0.01), and a significant improvement in TUGT timing test (p < 0.05); GTHG experienced extremely significant improvements in 6-meter walking pace and QoL (p < 0.01); AITHG experienced extremely significant improvements in ASMI, 6-meter walking pace, and QoL (p < 0.01), and a significant improvement in TUGT timing test (p < 0.05). (2) The comparison between the post-term and pre-term indicators showed that TRHG experienced extremely significant improvements in TUGT timing test (p < 0.01); GTHG experienced significant improvements in ASMI and TUGT timing test (p < 0.05); and AITHG experienced extremely significant improvements in TUGT timing test (p < 0.01). (3) During the mid-term, there was no significant difference among the groups in all tests (p > 0.05). The same was in post-term tests (p > 0.05).
CONCLUSIONS: Compared to the pre-experiment, there was no significant difference at the post- experiment in the recovery effects on the muscle quality, physical activity ability, and life quality of patients with sarcopenia between the AI-based remote training group and the face-to-face traditional training group. 3D pose estimation is equally as effective as traditional rehabilitation methods in enhancing muscle quality, functionality and life quality in older adults with sarcopenia.
BACKGROUND: The trial was registered in ClinicalTrials.gov (NCT05767710).
摘要：
目的：通过一项针对老年肌肉减少症患者的随机对照试验，这项研究比较了使用基于深度学习的3D人体姿态估计技术的基于AI的远程训练组与面对面传统训练组和一般远程训练组的训练效果。
方法：将长春市社区组织的75名年龄在60-75岁的老年肌少症患者随机分为面对面传统训练组（TRHG），一般远程培训小组(GTHG)，和基于AI的远程培训小组（AITHG）。所有小组都接受了为期3个月的计划，包括24种形式的太极拳练习，每周3次，每次持续40分钟。参与者接受了阑尾骨骼肌质量指数(ASMI)，握力,6米的步行速度，定时启动和启动测试(TUGT),和实验前的生活质量评分（QoL）测试，在中期，在实验之后。本研究采用SPSS26.0软件进行单因素方差分析和重复测量方差分析,比较三组间的差异。P<0.05的显著性水平被定义为具有显著性差异，而p<0.01被定义为具有高度显著性差异。
结果：（1）中期和前期指标之间的比较表明，TRHG在ASMI方面经历了显着改善，6米的步行速度，和QoL(p<0.01)，TUGT计时测试有显著改善(p<0.05);GTHG在6米步行步速和QoL方面有极显著改善(p<0.01);AITHG在ASMI方面有极显著改善,6米的步行速度，和QoL(p<0.01)，TUGT计时测试有显著改善(p<0.05)。（2）期后指标与期前指标比较显示，TRHG在TUGT计时检验中出现了极显著的改善（p<0.01）；GTHG在ASMI和TUGT计时检验中出现了显著的改善（p<0.05）；AITHG在TUGT计时检验中出现了极显著的改善（p<0.01）。（3）在中期，在所有测试中，各组之间没有显着差异（p>0.05）。在后期测试中也是如此(p>0.05)。
结论：与实验前相比，实验后对肌肉质量的恢复效果没有显著差异，身体活动能力,基于AI的远程训练组和面对面传统训练组之间的肌少症患者的生活质量。3D姿态估计在增强肌肉质量方面与传统康复方法一样有效，老年肌少症患者的功能和生活质量。
背景：该试验已在ClinicalTrials.gov（NCT05767710）中注册。
方法：将长春市社区组织的75名年龄在60-75岁的老年肌少症患者随机分为面对面传统训练组（TRHG），一般远程培训小组(GTHG)，和基于AI的远程培训小组（AITHG）。所有小组都接受了为期3个月的计划，包括24种形式的太极拳练习，每周3次，每次持续40分钟。参与者接受了阑尾骨骼肌质量指数(ASMI)，握力,6米的步行速度，定时启动和启动测试(TUGT),和实验前的生活质量评分（QoL）测试，在中期，在实验之后。本研究采用SPSS26.0软件进行单因素方差分析和重复测量方差分析,比较三组间的差异。P<0.05的显著性水平被定义为具有显著性差异，而p<0.01被定义为具有高度显著性差异。
结果：（1）中期和前期指标之间的比较表明，TRHG在ASMI方面经历了显着改善，6米的步行速度，和QoL(p<0.01)，TUGT计时测试有显著改善(p<0.05);GTHG在6米步行步速和QoL方面有极显著改善(p<0.01);AITHG在ASMI方面有极显著改善,6米的步行速度，和QoL(p<0.01)，TUGT计时测试有显著改善(p<0.05)。（2）期后指标与期前指标比较显示，TRHG在TUGT计时检验中出现了极显著的改善（p<0.01）；GTHG在ASMI和TUGT计时检验中出现了显著的改善（p<0.05）；AITHG在TUGT计时检验中出现了极显著的改善（p<0.01）。（3）在中期，在所有测试中，各组之间没有显着差异（p>0.05）。在后期测试中也是如此(p>0.05)。
结论：与实验前相比，实验后对肌肉质量的恢复效果没有显著差异，身体活动能力,基于AI的远程训练组和面对面传统训练组之间的肌少症患者的生活质量。3D姿态估计在增强肌肉质量方面与传统康复方法一样有效，老年肌少症患者的功能和生活质量。
背景：该试验已在ClinicalTrials.gov（NCT05767710）中注册。
