使用智能计算和智能手机成像进行包容和准确的临床诊断
Jisen Chen1, Dajun Zhao1,2, Hai-Wei Shi3,4
1School of Environmental and Chemical Engineering, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu 212003, PR China.
ACS sensors
|October 15, 2024
概括
这项研究提出了一种新的方法,将智能手机摄像头转化为可靠的临床分析工具. 它克服了环境和设备的变化,以准确测量皮肤氧气,帮助诊断心血管疾病和贫血.
科学领域:
- 生物医学工程 生物医学工程
- 临床诊断 临床诊断 临床诊断
- 光学成像技术的成像
背景情况:
- 智能手机色度测量面临着环境光干扰和设备变异性的挑战,限制了临床应用.
- 由于环境因素和制造商的差异,现有的方法难以准确,阻碍了可靠的临床决策.
研究的目的:
- 系统地描述智能手机成像干扰,并开发一种可靠的临床分析方法.
- 将智能手机摄像头转化为用于实时诊断的多功能分析仪器.
- 为了能够准确地测量心血管疾病和贫血监测的皮肤氧气,并考虑皮肤色调的变化.
主要方法:
- 智能手机成像干扰的系统表征.
- 对于样本量化的强相关参数的导出.
- 为手机摄像头开发实时成像解决方案.
- 通过皮肤成像进行临床验证,以诊断色和测量整个菲茨帕特里克尺度上的氧度.
主要成果:
- 一种新的方法使智能手机摄像头能够作为分析仪器,克服模型,软件和操作系统的差异.
- 在诊断蓝色病症和测量患者皮肤中的局部氧度方面已证明临床适用性.
- 该解决方案准确考虑了个体皮肤色调 (菲茨帕特里克尺度),改进了当前的光学氧计.
结论:
- 基于智能手机的色谱可以可靠地用于临床分析,克服了以前的局限性.
- 开发的方法为准确,方便和可访问的心血管疾病和贫血监测提供了一条途径.
- 这项创新释放了手机摄像机作为各种临床环境中强大的诊断工具的潜力.
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