测试家庭血压测量的光学字符识别,一个随机试验
A J Strom1, E Khader2, P M Polgreen1
1Department of Internal Medicine, University of Iowa, Iowa City, IA.
American journal of hypertension
|November 19, 2025
概括
准确的家庭血压 (BP) 监测对于诊断高血压至关重要. 这项研究发现,通过手机照片进行短信和基于图像的血压报告都是患者报告血压读数的准确和可接受的方法.
科学领域:
- 生物医学工程 生物医学工程
- 医疗信息学 医疗信息学
- 心血管医学 心血管医学
背景情况:
- 精确的家庭血压 (BP) 监测对于诊断高血压至关重要,但往往受到患者自我报告方面的挑战的阻碍.
- 现有的远程BP数据收集方法在准确性和患者遵守方面存在局限性.
研究的目的:
- 评估家庭BP测量报告的两个低成本电子策略的可接受性和准确性:文本消息和基于图像的光学字符识别 (OCR) 方法.
- 为了比较基于文本和基于图像的BP报告之间的响应率和数据准确性.
主要方法:
- 开发和测试一个两阶段的OCR模型,从患者提交的手机照片中提取血压值.
- 一个涉及50名参与者的交叉试验,以比较基于图像的报告与文本消息的准确性和可接受性,用于BP读数.
- 从两种报告方法获得的响应率和BP值的分析.
主要成果:
- 参与者的参与度很高,大多数受访者通过文本 (平均12/14) 和照片上传 (平均11.3/14) 提交了大部分要求的BP数据.
- 该OCR模型在从合适质量的图像中读取BP值时实现了98.3%的准确性,尽管由于质量问题,有17.9%的图像被拒绝.
- 在文本消息和基于图像的方法之间报告的平均BP值中没有发现显著差异.
结论:
- 通过使用OCR模型,成功地证明了从手机照片中提取BP监测器的BP值的可行性.
- 短信和基于图像的照片上传都被验证为收集家庭血压读数的准确和可接受方法,为远程患者监控提供了实用解决方案.
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