一种用于胎儿心率检测的新算法:分数顺序微积分方法
Ilija Tanasković1, Nadica Miljković2
1University of Belgrade - School of Electrical Engineering, Bulevar kralja Aleksandra 73, 11000 Belgrade, Serbia; Institute for Artificial Intelligence R&D, Fruskogorska 1, 21000 Novi Sad, Serbia.
Medical engineering & physics
|August 3, 2023
概括
一种新的修改后的Pan-Tompkins (mPT) 方法可以从腹部记录中准确地检测胎儿心率. 这种算法优化信号处理,在低信号对噪声环境中提高准确性.
科学领域:
- 生物医学信号处理
- 心脏病学 心脏病学
- 孕产妇和胎儿医学 孕产妇和胎儿医学
背景情况:
- 胎儿心率 (FHR) 监测对于评估胎儿健康至关重要.
- 表面腹部电生理学记录经常受到低信号噪声比 (SNR) 的影响.
- 现有的方法可能在噪音条件下难以准确估计FHR.
研究的目的:
- 引入一种新的修改的Pan-Tompkins (mPT) 算法,用于增强FHR检测.
- 为了验证mPT方法对腹部电生理学信号的有效性.
- 确定mPT算法的最佳参数,以改进FHR估计.
主要方法:
- 该mPT算法利用最优的分数顺序导数和移动平均波器窗口宽度.
- 算法性能在PhysioNet Computing in Cardiology Challenge数据库信号上进行了评估.
- 在根据SNR估计和手动选择选择的细分上进行了FHR检测.
主要成果:
- 该mPT方法实现了高精度,平均灵敏度为97%,正预测值为97%.
- 记录了大约3.5%的错误率和97%的F1得分.
- 确定的最佳参数是分数顺序为0.51和移动平均波器窗口宽度为24.5毫秒.
结论:
- 拟议的mPT算法证明了FHR检测的令人满意的性能.
- 在噪音生物医学信号分析中,mPT方法显示出更广泛应用的潜力.
- 进一步的调整可以在各种具有挑战性的信号环境中增强峰值检测.
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