霍夫的基于转换的物联网设备用于血液组的自动识别和预测
Vinoth Asokan1, Vignesh Ponnu Swamy1, Sharmila Baskaran2
1Department of Production Technology, MIT Campus, Anna University, Chennai, India.
Journal of biomedical physics & engineering
|February 11, 2026
概括
这项研究介绍了一种基于物联网 (IoT) 的便携式分析仪,用于准确预测血型. 该系统使用图像处理和自适应的霍夫转换算法来减少输血错误.
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
- 医学诊断 医学诊断 医学诊断
背景情况:
- 准确的血型测定对于安全的输血和器官移植至关重要.
- 物联网 (IoT) 提供了实时健康数据管理的潜力.
- 传统的血液分型方法可能容易出现人为错误.
研究的目的:
- 开发一种智能,便携式血液分析仪,用于使用物联网进行血型预测.
- 为了提高血型测定的准确性和效率.
- 通过精确的识别,尽量减少输血相关的过敏反应.
主要方法:
- 使用3D打印和烯酸材料制造血型识别装置.
- 实施基于物联网的系统,用于实时数据收集和分析.
- 适应性Hough转换算法的应用,用于聚合反应的图像处理.
主要成果:
- 拟议的系统在血型识别方面实现了高效率和准确性.
- 适应性的霍夫转换算法有效地分析聚合模式.
- 该系统成功地确定了血型,减少了人为错误的可能性.
结论:
- 开发的基于物联网的便携式血液分析仪为血液型确定提供了可靠的方法.
- 这项技术有可能通过尽量减少输血错误来提高患者安全.
- 将物联网整合到诊断中可以带来更高效,更准确的医疗保健结果.
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