通过韦斯珀实验室的家庭睡眠呼吸暂停测试对自动睡眠呼吸暂停评分算法的评估
Chelsie Rohrscheib1, Antonio Artur Moura1, Janna Raphelson2
1Wesper Inc., 234 5th Avenue, 10001, NY, USA.
Sleep medicine
|February 11, 2026
概括
韦斯珀实验室的人工智能 (AI) 算法准确得分家庭睡眠呼吸暂停测试 (HSATs),显示与多睡眠学 (PSG) 的高相关性. 这种人工智能工具提高了诊断睡眠呼吸暂停的可访问性.
科学领域:
- 睡眠医学 睡眠医学
- 医疗保健中的人工智能
- 医疗器械验证 医疗器械验证
背景情况:
- 家庭睡眠呼吸暂停测试 (HSAT) 对于诊断睡眠障碍至关重要.
- 自动评分算法可以提高HSAT解释的效率和可访问性.
- 对人工智能算法的验证与黄金标准的多睡眠学 (PSG) 是必不可少的.
研究的目的:
- 为了评估韦斯珀实验室HSAT人工智能 (AI) 自动评分算法的性能.
- 在实验室和现实条件下评估算法的可靠性.
- 为了比较人工智能衍生的指标与专家评分和多睡眠学.
主要方法:
- 使用两个数据集和三个分析进行多层次验证.
- 来自韦斯珀实验室的HSAT和同时进行的PSG (n=44) 的呼吸暂停-呼吸暂停指数 (AHI) 和中央呼吸暂停指数 (CAI) 的比较.
- 评估跨得分器的一致性,并与临床HSAT专家恢复评分进行比较 (n=139).
主要成果:
- 韦斯珀实验室人工智能算法与AHI (r=0.90) 和CAI (r=0.82) 的PSG之间存在强烈的相关性.
- 在对原始信号的二次分析中观察到高相关性 (r=0.95) 和最小偏差.
- 在临床HSAT的三级分析中,相关性很好 (r=0.98) 和偏差很小.
结论:
- 韦斯珀实验室的自动评分算法是检测阻塞性和中央睡眠呼吸暂停事件的可靠工具.
- 人工智能算法在不同的评分场景中展示了一致的性能.
- 这种经过验证的HSAT平台提高了睡眠呼吸暂停的诊断可访问性.
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