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开发基于云的图像处理健康检查系统,用于多项尿液分析
Yu-Lin Wu1, Chien-Shun Wang1, Wei-Chien Weng1
1Department of Engineering Science, National Cheng Kung University, 1 University Road, Tainan 70101, Taiwan.
Sensors (Basel, Switzerland)
|September 28, 2023
概括
一个新的基于云计算的系统使用智能手机图像准确地解释尿液测试带结果,使健康检查更容易获得. 这项技术克服了快速诊断测试的颜色解释挑战,改善了早期疾病检测.
科学领域:
- 生物医学工程 生物医学工程
- 医学诊断 医学诊断 医学诊断
- 云计算 云计算 云计算 云计算
背景情况:
- 生活方式疾病正在增加,需要方便且具有成本效益的健康监测.
- 快速尿液测试 (URS-10) 提供了对各种生理状况的洞察力,但由于颜色变化,容易导致用户误解.
- 准确地解释快速测试结果对于及时的医疗干预至关重要.
研究的目的:
- 开发基于云的系统,准确解释URS-10尿液试验带结果.
- 解决普通用户面临的色彩解释和视觉差异方面的挑战.
- 利用智能手机技术创建一个可访问和用户友好的健康检查系统.
主要方法:
- 开发基于云的系统,集成定制色度表和智能手机应用程序.
- 通过智能手机获取URS-10测试条的图像,然后上传到云服务器进行分析.
- 实施色彩校准技术,在不同的设备和照明条件下标准化结果.
主要成果:
- 开发的系统在解释URS-10试验带结果方面取得了很高的准确性,在具有挑战性的情况下的成功率为95%.
- 颜色校准有效地消除了由不同相机设备和不同光强度引起的差异.
- 该系统证明了其在不需要专门的技术专业知识的情况下提供可靠的解释的能力.
结论:
- 基于云计算的健康检查系统为解释URS-10尿液测试结果提供了可靠和可访问的解决方案.
- 这项技术通过简化快速诊断测试的解释来实现健康监测的民主化.
- 该系统有可能改善与生活方式变化和其他条件相关的疾病的早期检测.
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