一种模式的超声波膀体积估计算法基于波形能量比率的自适应性排斥
Rencheng Jin1, Qipeng Huang1, Jiaxu Jiang1
1Key Laboratory for Micro/Nano Technology and System of Liaoning Province, Dalian University of Technology, Dalian 116024, China.
Sensors (Basel, Switzerland)
|March 28, 2024
概括
这项研究提出了一个新的超声波算法,用于准确的便携式膀体积测量. 这种新的方法实现了8.3%的估计误差,改善了泌尿器科健康监测.
科学领域:
- 生物医学工程 生物医学工程
- 医疗成像医学成像
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
背景情况:
- 精确的膀体积评估对于尿道健康监测至关重要.
- 现有的便携式膀体积装置缺乏精度.
- 需要新的解决方案来提高准确性和可用性.
研究的目的:
- 开发和验证一种基于超声波的新型A模式算法,用于便携式膀体积估计.
- 为了提高便携式膀监测设备的准确性和可用性.
- 为了解决当前便携式膀评估工具的局限性.
主要方法:
- 开发了一种波束能量比率自适应性消噪方法,以改善信号噪声比率.
- 利用超声波回声来确定膀壁的位置.
- 应用最小平方法来适应圆形来计算体积.
- 在猪膀上的模拟实验中验证了算法.
主要成果:
- 该算法显示信号与噪声比有显著改善.
- 在模拟实验中,膀体积估计误差约为8.3%.
- 该方法成功保存了关键信号细节.
结论:
- 开发的算法为准确的便携式膀体积估计提供了可行的解决方案.
- 这项技术提高了便携式泌尿器科监测设备的可用性和精度.
- 这项研究显示出在泌尿健康领域临床应用的巨大潜力.
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