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使用pitch-catch超声波和新型超声波治疗设备的分类算法进行肋骨检测
Claire R W Kaiser1, Adam B Tuma2, Maryam Zebarjadi2
1Department of Biomedical Engineering, University of Minnesota, 312 Church St. SE 7-105 Nils Hasselmo Hall, Minneapolis, MN, 55455, USA. kaise364@umn.edu.
Bioelectronic medicine
|November 15, 2023
概括
这项研究表明,超声波反射信号可以准确地检测家庭治疗超声波设备的肋骨位置. 自动肋骨检测提高了家庭使用超声波治疗的安全性和有效性.
科学领域:
- 生物医学工程 生物医学工程
- 医学物理 医学物理
背景情况:
- 非侵入性治疗性超声波 (美国) 在各种医疗治疗中都有应用.
- 一个挑战是为家庭使用开发便携式设备,其自动化功能可提供精确的能源输送.
- 这项研究探讨了使用美国反射来改善家庭治疗的肋骨检测.
研究的目的:
- 评估单通道美国位捕捉技术在没有传统成像的情况下检测肋骨位置的有效性.
- 将自动肋骨检测集成到美国家庭治疗设备中.
主要方法:
- 健康志愿者的肋骨和脏位置被使用诊断US识别.
- 在多个位置使用治疗性美国设备记录反射的美国信号.
- 使用四种分类模型 (时间域,频率域,物流回归,SVM) 来对与肋骨相对的信号反射进行分类.
主要成果:
- 支持矢量机 (SVM) 在所有参与者的肋骨检测中实现了高达96.25%的准确性.
- 通过身体质量指数 (BMI) 分离参与者,提高了模型的准确性.
- 一种简单的时间值方法在低BMI队列中达到100%的准确性,在高BMI队列中达到93.75%的准确性.
结论:
- 美国反射信号分类允许准确的,实时的,自动化的船上肋骨检测.
- 这项技术可以为更安全,更有效的在家治疗美国交付提供用户反.
- 这些发现支持患者使用的便携式治疗超声波设备的发展.
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