Agostinelli Angela, Marcantoni Ilaria, Moretti Elisa, Sbrollini Agnese, Fioretti Sandro, Di Nardo Francesco, Burattini Laura
Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy.
Open Biomed Eng J. 2017 Mar 31;11:17-24. doi: 10.2174/1874120701711010017. eCollection 2017.
Indirect fetal electrocardiography is preferable to direct fetal electrocardiography because of being noninvasive and is applicable also during the end of pregnancy, besides labor. Still, the former is strongly affected by noise so that even R-peak detection (which is essential for fetal heart-rate evaluations and subsequent processing procedures) is challenging. Some fetal studies have applied the Pan-Tompkins' algorithm that, however, was originally designed for adult applications. Thus, this work evaluated the Pan-Tompkins' algorithm suitability for fetal applications, and proposed fetal adjustments and optimizations to improve it.
Both Pan-Tompkins' algorithm and its improved version were applied to the "Abdominal and Direct Fetal Electrocardiogram Database" and to the "Noninvasive Fetal Electrocardiography Database" of Physionet. R-peak detection accuracy was quantified by computation of positive-predictive value, sensitivity and F1 score.
When applied to "Abdominal and Direct Fetal Electrocardiogram Database", the accuracy of the improved fetal Pan-Tompkins' algorithm was significantly higher than the standard (positive-predictive value: 0.94 0.79; sensitivity: 0.95 0.80; F1 score: 0.94 0.79; P<0.05 in all cases) on indirect fetal electrocardiograms, whereas both methods performed similarly on direct fetal electrocardiograms (positive-predictive value, sensitivity and F1 score all close to 1). Improved fetal Pan-Tompkins' algorithm was found to be superior to the standard also when applied to "Noninvasive Fetal Electrocardiography Database" (positive-predictive value: 0.68 0.55, P<0.05; sensitivity: 0.56 0.46, P=0.23; F1 score: 0.60 0.47, P=0.11).
In indirect fetal electrocardiographic applications, improved fetal Pan-Tompkins' algorithm is to be preferred over the standard, since it provides higher R-peak detection accuracy for heart-rate evaluations and subsequent processing.
间接胎儿心电图检查因无创且除分娩外还适用于妊娠末期,故而优于直接胎儿心电图检查。尽管如此,前者受噪声影响很大,以至于即使是R波检测(这对胎儿心率评估及后续处理程序至关重要)也颇具挑战性。一些针对胎儿的研究应用了潘 - 汤普金斯算法,然而该算法最初是为成人应用设计的。因此,本研究评估了潘 - 汤普金斯算法在胎儿应用中的适用性,并提出了针对胎儿的调整和优化措施以对其进行改进。
将潘 - 汤普金斯算法及其改进版本应用于Physionet的“腹部和直接胎儿心电图数据库”以及“无创胎儿心电图数据库”。通过计算阳性预测值、灵敏度和F1分数来量化R波检测的准确性。
当应用于“腹部和直接胎儿心电图数据库”时,改进后的胎儿潘 - 汤普金斯算法在间接胎儿心电图上的准确性显著高于标准算法(阳性预测值:0.94对0.79;灵敏度:0.95对0.80;F1分数:0.94对0.79;所有情况P<0.05),而在直接胎儿心电图上两种方法表现相似(阳性预测值、灵敏度和F1分数均接近1)。当应用于“无创胎儿心电图数据库”时,改进后的胎儿潘 - 汤普金斯算法也被发现优于标准算法(阳性预测值:0.68对0.55,P<0.05;灵敏度:0.56对0.46,P = 0.23;F1分数:0.60对0.47,P = 0.11)。
在间接胎儿心电图应用中,改进后的胎儿潘 - 汤普金斯算法优于标准算法,因为它在心率评估及后续处理中能提供更高的R波检测准确性。