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Updated: Feb 10, 2026

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分段生物阻抗和人体测量提高了机器学习对健康年轻成年人的握力预测

Helen Najjar1, Khouloud Issa1, Heba M Badawe1

  • 1Neural Engineering and Nanobiosensors group, Biomedical Engineering Program, Maroun Semaan Faculty of Engineering and Architecture, American University of Beirut, Beirut, Lebanon.

Frontiers in bioengineering and biotechnology
|February 9, 2026
PubMed
概括

局部化前臂生物阻抗 (BioZ) 与人体测量相结合,可以预测年轻成年人的手握力 (HGS). 尺寸正常化的BioZ显著提高了预测准确性,显示了可穿戴肌肉强度监测的潜力.

关键词:
人类测量学的人类测量学.生物阻抗是一种生物阻抗.手握的强度和手握的强度.机器学习是机器学习.可穿戴设备可以穿戴.

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