摘要
该文基于传播模型定量分析了超声传输时间法检测局部脉搏波速(PWV)过程中扫描帧频与声束数对脉动位移曲线估计、延迟时间估计及PWV拟合的估计精度,采用方差分析确定了误差显著性和影响因素的主次关系。结果表明,脉动位移相对误差在0.23~0.28之间,帧频对其估计精度影响不显著(p>0.05);延迟时间估计同时受声束对距离和帧频的影响(p<0.01),声束对间距从2.38 mm增大到38 mm,平均相对误差由0.99减至0.06;帧频从1127 Hz减小为226 Hz,平均相对误差由0.19增至0.43;PWV拟合受声束数及帧频的共同影响,声束数不小于10时,估计误差为7%~20%,帧频为主要影响因素(p<0.01)。因此,在保证合理声束数条件下,提高帧频可改善PWV的估计精度。结果有助于为后续PWV检测精度的改进研究提供依据。
The estimation accuracy of the wall displacement, delay time, and linear-regression-based Pulse Wave Velocity （PWV） affected by different scanning frame rates and beam density is investigated quantitatively in the measurement of the regional PWV with ultrasound transit time method based on a model of pulse wave propagation along a carotid artery segment. Through statistical variance analysis, the significance levels of measurement errors as well as the primary and secondary relations of these two influence factors are ascertained. The results show that the frame rates do not significantly affect the wall displacement estimation accuracy （ p〉0.05） with relative errors ranged from 0.23 to 0.28. The delay time measurement accuracy is influenced significantly by the frame rates and spacing between two beams simultaneously （p〈0.01 ）. The relative errors decrease from 0.99 to 0.06 as the distances from the first beam to others increase from 2.38 mm to 38 mm. However, the mean transit time errors increase from 0.19 to 0.43 when the frame rates decrease from 1127 Hz to 226 Hz. The PWV estimation errors ranging from 7% to 20% are affected significantly by the number of beams as well as frame rates under the condition that the beams used for regression fitness are no less than 10. The frame rate is the main influence factor in this situation （p〈0.01 ）. Therefore, the PWV measurement accuracy can be improved by increasing frame rate with a proper beam setting. Experimental results could be helpful to explore novel measurement method for improving PWV accuracy in the follow-up work.
作者
邓丽
张榆锋
杨丽春
胡晓
李支尧
高莲
张俊华
DENG Li ZHANG Yufeng YANG Lichun HU Xiao LI Zhiyao GAO Lian ZHANG Junhua(Information School, Yunnan University, Kunming 650091, China The Third Affiliated Hospital of Kunming Medical University, Kunming 650031, China)
出处
《电子与信息学报》
EI
CSCD
北大核心
2017年第2期316-321,共6页
Journal of Electronics & Information Technology
基金
国家自然科学基金(61261007
61561049)
云南省自然科学基金(2013FA008)~~
关键词
超声射频信号
颈动脉
脉搏波速
精度性能
Ultrasound radio frequency signal
Carotid artery
Pulse wave velocity
Accurate performance
