Kijonka Jan, Vavra Petr, Penhaker Marek, Kubicek Jan
Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava, Czechia.
Department of Surgical Studies, Faculty of Medicine of the University of Ostrava, Ostrava, Czechia.
Front Physiol. 2024 Jan 4;14:1260074. doi: 10.3389/fphys.2023.1260074. eCollection 2023.
This study proposes an algorithm for preprocessing VCG records to obtain a representative QRS loop. The proposed algorithm uses the following methods: Digital filtering to remove noise from the signal, wavelet-based detection of ECG fiducial points and isoelectric PQ intervals, spatial alignment of QRS loops, QRS time synchronization using root mean square error minimization and ectopic QRS elimination. The representative QRS loop is calculated as the average of all QRS loops in the VCG record. The algorithm is evaluated on 161 VCG records from a database of 58 healthy control subjects, 69 patients with myocardial infarction, and 34 patients with bundle branch block. The morphologic intra-individual beat-to-beat variability rate is calculated for each VCG record. The maximum relative deviation is 12.2% for healthy control subjects, 19.3% for patients with myocardial infarction, and 17.2% for patients with bundle branch block. The performance of the algorithm is assessed by measuring the morphologic variability before and after QRS time synchronization and ectopic QRS elimination. The variability is reduced by a factor of 0.36 for healthy control subjects, 0.38 for patients with myocardial infarction, and 0.41 for patients with bundle branch block. The proposed algorithm can be used to generate a representative QRS loop for each VCG record. This representative QRS loop can be used to visualize, compare, and further process VCG records for automatic VCG record classification.
本研究提出了一种用于预处理心向量图（VCG）记录以获得代表性QRS环的算法。所提出的算法采用以下方法：数字滤波以去除信号中的噪声、基于小波的心电图基准点和等电位PQ间期检测、QRS环的空间对齐、使用均方根误差最小化的QRS时间同步以及异位QRS消除。代表性QRS环计算为VCG记录中所有QRS环的平均值。该算法在来自58名健康对照受试者、69名心肌梗死患者和34名束支传导阻滞患者的数据库中的161份VCG记录上进行了评估。为每份VCG记录计算形态学个体内逐搏变异性率。健康对照受试者的最大相对偏差为12.2%，心肌梗死患者为19.3%，束支传导阻滞患者为17.2%。通过测量QRS时间同步和异位QRS消除前后的形态学变异性来评估算法的性能。健康对照受试者的变异性降低了0.36倍，心肌梗死患者降低了0.38倍，束支传导阻滞患者降低了0.41倍。所提出的算法可用于为每份VCG记录生成代表性QRS环。这个代表性QRS环可用于可视化、比较和进一步处理VCG记录，以进行自动VCG记录分类。
