以人工智能为基础的斜腰脊柱姿势评估,用于低资源学校环境中的青少年查
Ben Rahman1, Indrajani Sutedja2
1Department of Information Systems, Universitas Nasional, Jakarta, 12520, Indonesia. benrahman@civitas.unas.ac.id.
Scientific reports
|February 3, 2026
概括
东南亚青少年脊柱偏差的增加得到了PostureGuard的解决,PostureGuard是一个低成本,实时姿势评估和学校查的AI系统. 它准确地检测到前进的头部姿势,将屏幕时间与偏差增加联系起来.
科学领域:
- 公共卫生 公共卫生
- 人工智能的人工智能
- 生物医学工程 生物医学工程
背景情况:
- 在东南亚,青少年的脊柱姿势偏差正在增加.
- 这一增长与增加的屏幕时间和有限的临床查在低资源地区的访问有关.
研究的目的:
- 开发和评估PostureGuard,一个低成本的人工智能系统,用于实时姿势评估和基于学校的查.
- 解决在资源有限的环境中青少年脊柱健康监测的差距.
主要方法:
- 开发了一个与东南亚校准的姿势估计模型,集成到PostureGuard系统中.
- 将AI模型与放射性参考进行基准测试,并使用可穿戴传感器进行验证.
- 在印尼15所学校部署了PostureGuard,评估了200名学生的前进头角.
主要成果:
- 在前方头角估计中,PostureGuard实现了平均绝对误差低于2.3°.
- 确定了一种剂量-反应关系:每天每小时的屏幕时间与前方头角增加2.1°相关.
- 六个月的初步实施显示了姿势指标的潜在改善,尽管不是从受控试验.
结论:
- PostureGuard提供了一个可扩展的,区域校准的AI框架,用于在资源有限的环境中监测青少年脊柱健康.
- 该系统展示了临床基准测试和将其纳入公共卫生计划的潜力,例如印度尼西亚2024年数字健康任务.
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