A fully automated algorithm for heart rate detection in post-dive precordial Doppler ultrasound.

IF 0.7 4区医学 Q4 MARINE & FRESHWATER BIOLOGY

Undersea and Hyperbaric Medicine Pub Date : 2023-01-01

Andrew Hoang, David Q Le, S Lesley Blogg, Arian Azarang, Paul A Dayton, Peter Lindholm, Virginie Papadopoulou

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引用次数: 0

Abstract

Background: Doppler ultrasound is used currently in decompression research for the evaluation of venous gas emboli (VGE). Estimation of heart rate from post-dive Doppler ultrasound recordings can provide a tool for the evaluation of physiological changes from decompression stress, as well as aid in the development of automated VGE detection algorithms that relate VGE presence to cardiac activity.

Method: An algorithm based on short-term autocorrelation was developed in MATLAB to estimate the heart rate in post-dive precordial Doppler ultrasound. The algorithm was evaluated on 21 previously acquired and labeled precordial recordings spanning Kisman-Masurel (KM) codes of 111-444 (KM I-IV) with manually derived instantaneous heart rates.

Results: A window size of at least two seconds was necessary for robust and accurate instantaneous heart rate estimation with a mean error of 1.56 ± 7.10 bpm. Larger window sizes improved the algorithm performance, at the cost of beat-to-beat heart rate estimates. We also found that our algorithm provides good results for low KM grade Doppler recordings with and without flexion, and high KM grades without flexion. High KM grades observed after movement produced the greatest mean absolute error of 6.12 ± 8.40 bpm.

Conclusion: We have developed a fully automated algorithm for the estimation of heart rate in post-dive precordial Doppler ultrasound recordings.

本刊更多论文

潜水后心前多普勒超声心率检测的全自动算法。

背景:多普勒超声是目前应用于静脉气体栓塞(VGE)的减压研究。从潜水后多普勒超声记录中估计心率可以为评估减压应激引起的生理变化提供工具，也有助于开发将VGE存在与心脏活动联系起来的自动VGE检测算法。方法:利用MATLAB开发了一种基于短期自相关的潜水后心前多普勒超声心率估计算法。该算法对21个先前获得并标记的心前记录进行了评估，这些记录跨越了111-444 (KM I-IV)的Kisman-Masurel (KM)代码，并具有手动获得的瞬时心率。结果:至少2秒的窗口大小对于稳健和准确的瞬时心率估计是必要的，平均误差为1.56±7.10 bpm。更大的窗口尺寸提高了算法的性能，但代价是心跳速率的估计。我们还发现，我们的算法在有和没有弯曲的低KM级多普勒记录和没有弯曲的高KM级多普勒记录中都提供了很好的结果。运动后观察到的高KM等级产生的最大平均绝对误差为6.12±8.40 bpm。结论:我们开发了一种完全自动化的算法，用于估计潜水后心前多普勒超声记录的心率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Undersea and Hyperbaric Medicine 医学-海洋与淡水生物学

CiteScore

1.60

自引率

11.10%

发文量

审稿时长

>12 weeks

期刊介绍： Undersea and Hyperbaric Medicine Journal accepts manuscripts for publication that are related to the areas of diving research and physiology, hyperbaric medicine and oxygen therapy, submarine medicine, naval medicine and clinical research related to the above topics. To be considered for UHM scientific papers must deal with significant and new research in an area related to biological, physical and clinical phenomena related to the above environments.