李键,朱博涵,胡子木,等.基于下肢表面肌电信号预测健康青年大学生的心肺适能[J].中华物理医学与康复杂志,2024,46(4):351-355
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| 基于下肢表面肌电信号预测健康青年大学生的心肺适能 |
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| DOI：10.3760/cma.j.issn.0254-1424.2024.04.013 |
| 中文关键词: 心肺适能 最大摄氧量 表面肌电图 均方根值 中位频率 |
| 英文关键词: Cardiopulmonary fitness Maximum oxygen uptake Surface electromyography |
| 基金项目:2020年国家重点研发计划项目（2020YFC2006500，2020YFC2006505） |
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| 摘要点击次数: 1889 |
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| 中文摘要: |
| 目的 探讨健康青年大学生下肢表面肌电（sEMG）信号与最大摄氧量（VO2max）的相关性，并尝试建立模型以预测VO2max。 方法 招募健康青年大学生19名，首先进行30 s坐站测试，并记录测试过程中双下肢股直肌、股内侧肌、股外侧肌和腓肠肌外侧头的sEMG信号，计算均方根值（RMS）、平均功率频率(MPF)和中位频率(MF)。48h后进行心肺运动试验，获得VO2max。分析sEMG信号与VO2max之间的相关性，利用逐步回归法建立VO2max的预测模型。 结果 相关性分析显示，右侧股直肌RMS（r=0.699，P=0.005）、左侧腓肠肌外侧头MF（r=-0.751，P=0.002）等下肢相关肌肉的sEMG信号与VO2max呈中等程度相关。利用逐步回归分析法建立预测模型，回归模型方差分析检验F=9.925，P＜0.001，回归方程具有统计学意义。模型相关系数R=0.912，调整后的R2=0.748，拟合度良好。 结论 基于30 s坐-站测试的右侧股直肌RMS和左侧腓肠肌外侧头MF，对健康青年大学生的VO2max具有一定的预测价值。 |
| 英文摘要: |
| Objective To explore the relationship between surface electromyography (sEMG) signals from a lower extremity and maximum oxygen uptake (VO2max) seeking to establish a model for predicting VO2max. Methods Ninety healthy young college students were recruited to perform a 30-second chair stand test. sEMG signals from the rectus femoris, medialis femoris, lateralis femoris and gastrocnemius were recorded during the test. Forty-eight hours later the students performed a cardiopulmonary exercise test to obtain their VO2max. Stepwise regressions were evaluated seeking any relationship between aspects of the sEMG signals and VO2max. Results The root mean square of the signal from the right rectus femoris (r=0.70) and the mean frequency of the signals from the left gastrocnemius (r=-0.75) were found to be moderately correlated with VO2max. A prediction model using those two indicators can predict VO2max significantly (R=0.91, adjusted R2=0.75, F=9.93, P≤0.001). Conclusions sEMG signals from the right rectus femoris and the left gastrocnemius after a 30-second chair stand test can predict VO2max, at least in young adults. |
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