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Volume 39 Issue 2
Feb.  2017
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DENG Li, ZHANG Yufeng, YANG Lichun, HU Xiao, LI Zhiyao, GAO Lian, ZHANG Junhua. Accurate Performance and Associated Influence Factors for Pulse Wave Velocity Measurement of Carotid Arteries Based on Ultrasonic Transit Time Method[J]. Journal of Electronics & Information Technology, 2017, 39(2): 316-321. doi: 10.11999/JEIT160306
Citation: DENG Li, ZHANG Yufeng, YANG Lichun, HU Xiao, LI Zhiyao, GAO Lian, ZHANG Junhua. Accurate Performance and Associated Influence Factors for Pulse Wave Velocity Measurement of Carotid Arteries Based on Ultrasonic Transit Time Method[J]. Journal of Electronics & Information Technology, 2017, 39(2): 316-321. doi: 10.11999/JEIT160306

Accurate Performance and Associated Influence Factors for Pulse Wave Velocity Measurement of Carotid Arteries Based on Ultrasonic Transit Time Method

doi: 10.11999/JEIT160306
Funds:

The National Natural Science Foundation of China (61261007, 61561049 ), The Natural Science Foundation of Yunnan Province (2013FA008)

  • Received Date: 2016-03-31
  • Rev Recd Date: 2016-09-09
  • Publish Date: 2017-02-19
  • 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 (p0.05) 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 (p0.01 ). 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 (p0.01 ). 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.
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