利用NLMS算法提取胎儿心率

K. Ricky, M. Arjuna, S. Aminifar
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引用次数: 1

摘要

本项目开发胎儿心率(FHR)提取应用程序来分析胎儿在母体子宫的活动。有几种方法可用于检测FHR,如使用胎儿心脏产生的胎儿心电图(FECG)。胎儿在母体子宫内时,提取FECG信号被认为是一个重大挑战。归一化最小均方(NLMS)算法是一种自适应滤波算法,被用来作为自适应滤波来获得FECG。采用Pan Tompkins算法对FECG信号的心跳脉冲r峰进行跟踪。检测到RR间隔后,用公式计算feg的bpm(心跳/分钟)。腹部和直接FECG (ADFECG)数据库将用于评估实施的技术,因为它有参考信号。在研究结束时,计算的FHR在125.4 bpm到130.3 bpm之间变化。腹部心电图(AECG)与直接心电图(DFECG)比较,FHR误差为0.1%。r -峰提取的准确性为100%,其中所有r -峰都被实现的技术检测到。使用MATLAB进行信号仿真。该系统将能够解释无创FECG (NIFECG)数据库并计算其FHR。关键词:nlms算法,Pan Tompkins算法,胎儿心率提取
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fetal Heart Rate Extraction using NLMS Algorithm
This project develops a fetal heart rate (FHR) extraction application to analyze the fetus activity in the mother uterus. Several methods are available that can be used to detect FHR such as using the fetal electrocardiogram (FECG) that generated by fetus’ heart. Extracting FECG signals is considered a major challenge while the fetus is inside the mother uterus. Normalized Least Mean Square (NLMS) algorithm is one of adaptive filters that is chosen as adaptive filter to get FECG. Pan Tompkins algorithm is used for tracking R-peaks of heartbeat pulses of FECG signal. After detecting the RR interval a formula is used to calculate the bpm (heartbeat per minute) of FECG. Abdominal and direct FECG (ADFECG) database will be used to evaluate the implemented techniques as it has reference signal. At the end of research, calculated FHR is varied from 125.4 bpm to 130.3 bpm. When comparison is done between abdominal ECG (AECG) and direct FECG (DFECG), the error of FHR is 0.1%. The accuracy of R-peaks extraction is 100% where all R-peaks are detected by implemented techniques. MATLAB is used for signal simulations. This system will have ability to interpret the non-invasive FECG (NIFECG) database and compute its FHR. Keywords—NLMS Algorithm, Pan Tompkins Algorithm and Fetal Heart Rate Extraction.
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