Faculty of Science and Engineering, University of Hull, Kingston upon Hull HU6 7RX, UK.
Sensors (Basel). 2020 Jul 20;20(14):4029. doi: 10.3390/s20144029.
The reporting of U wave abnormalities is clinically important, but the measurement of this small electrocardiographic (ECG) feature is extremely difficult, especially in challenging recording conditions, such as stress exercise, due to contaminating noise. Furthermore, it is widely stated that ECG U waves are rarely observable at heart rates greater than 90 bpm. The aims of the study were (i) to assess the ability of multi-beat averaging to reveal the presence of U waves in ECGs contaminated by noise following exercise and (ii) to quantify the effect of exercise on U wave amplitude. The multi-beat averaging algorithm was applied to recover U waves in 20 healthy subjects in pre- and post-exercise recordings. Average beats were generated from 30 beat epochs. The prevalence of U waves and their amplitudes were measured in pre- and post-exercise recordings and changes in amplitude due to exercise were quantified. U waves were present in all subjects in pre-exercise recordings. Following exercise, U waves could not be seen in standard ECG but were observable in all 20 subjects by multi-beat averaging and despite significantly increased mean (±SD) heart rate (63 ± 8 bpm vs. 100 ± 9 bpm, < 0.0001). Furthermore, U waves were observable in all subjects with heart rates greater than 90 bpm. U waves significantly increased in amplitude following exercise (38 ± 15 μV vs. 80 ± 48 μV, = 0.0005). Multi-beat averaging is effective at recovering U waves contaminated by noise due to exercise. U waves were measurable in all subjects, dispelling the myth that U waves are rarely seen at elevated heart rates. U waves exhibit increased amplitudes at elevated heart rates following exercise.
U 波异常的报告在临床上很重要,但这种小心电图(ECG)特征的测量非常困难,尤其是在应激运动等具有挑战性的记录条件下,因为会受到干扰噪声的影响。此外,广泛认为 ECG U 波在心率大于 90 bpm 时很少可见。本研究的目的是:(i)评估多搏平均算法在运动后受噪声污染的 ECG 中揭示 U 波存在的能力;(ii)量化运动对 U 波幅度的影响。该多搏平均算法应用于 20 名健康受试者的运动前和运动后记录中。平均搏动由 30 个搏动时段生成。在运动前和运动后记录中测量 U 波的出现率及其幅度,并量化由于运动引起的幅度变化。U 波在所有受试者的运动前记录中均存在。运动后,标准 ECG 中无法看到 U 波,但通过多搏平均可在所有 20 名受试者中观察到,尽管平均(±SD)心率显著增加(63 ± 8 bpm 比 100 ± 9 bpm,< 0.0001)。此外,所有心率大于 90 bpm 的受试者都可以观察到 U 波。运动后 U 波幅度显著增加(38 ± 15 μV 比 80 ± 48 μV, = 0.0005)。多搏平均算法可有效恢复因运动而受噪声污染的 U 波。在所有受试者中都可以测量到 U 波,从而消除了 U 波在较高心率下很少见的谬论。运动后,U 波在较高心率时幅度增加。