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一个基于声音的无效体积估计算法的验证
Gyoohwan Jung1, Hoyoung Ryu2, Jeong Woo Lee3
1Department of Urology, Hanyang University College of Medicine, 222, Wangsimni-ro, Seongdong-gu, Seoul, Korea.
Scientific reports
|January 3, 2024
概括
一个新的基于声音的算法准确地估计了排尿量,为传统排尿日记提供了方便和精确的替代方案. 这种经过验证的方法支持改善尿路健康监测.
科学领域:
- 生物医学工程 生物医学工程
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
- 声学信号处理 声学信号处理
背景情况:
- 传统的排泄日记用于尿路健康监测,由于手动记录的不准确性和不便.
- 基于声音的空空体积估计算法为这些局限性提供了潜在的解决方案.
研究的目的:
- 通过使用体重变化作为参考来验证基于声音的空化体积估计算法 (proudP).
- 为了评估算法的性能在一个大的,多个网站的人口.
主要方法:
- 收集了来自美国和韩国的508名受试者的584个数据点,将排尿声音数据与排尿后的体重变化相匹配.
- 采用五倍交叉验证来评估算法的准确性.
- 利用皮尔森的相关系数,配对的t测试和布兰德-阿尔特曼图表进行统计分析.
主要成果:
- 算法估计的平均空化体积为202.6毫升 (SD: ±114.8),与平均体重变化为208.0g (SD: ±121.5) 保持一致.
- 在估计和测量体积之间观察到强烈的线性相关性 (皮尔森r = 0.92,p < 0.001).
- 配对的t测试显示在10毫升的范围内具有相当性,而布兰德-阿尔特曼分析显示平均差异为-5.5毫升.
结论:
- 基于声音的空调音量估计算法表现出高性能和准确性.
- 经过验证的算法为监测尿路健康提供了一个方便和可靠的工具.
- 结果支持该算法在多个地点的临床试验中适用于不同人群.
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