Comparative Analysis of the Equivital EQ02 Lifemonitor with Holter Ambulatory ECG Device for Continuous Measurement of ECG, Heart Rate, and Heart Rate Variability: A Validation Study for Precision and Accuracy.
Comparative Analysis of the Equivital EQ02 Lifemonitor with Holter Ambulatory ECG Device for Continuous Measurement of ECG, Heart Rate, and Heart Rate Variability: A Validation Study for Precision and Accuracy.
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DOI：
10.3389/fphys.2016.00391
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发表时间：
2016
影响因子：
4
通讯作者：
van Heemst D
中科院分区：
文献类型：
--
作者：
Akintola AA;van de Pol V;Bimmel D;Maan AC;van Heemst D
工作背景：Equivital（EQ 02）是一种多参数遥测设备，可对ECG、HR和HRV、呼吸、活动和体温进行实时和/或回顾性同步监测。与连续ECG测量的黄金标准霍尔特不同，EQO 2通过可穿戴腰带织物中交织的电极连续监测ECG。目的：比较EQ 02与霍尔特在家庭连续测量心电图、心率（HR）和心率变异性（HRV）中的差异。方法：18名健康受试者同时佩戴霍尔特和EQ 02监护仪24 h。使用Pearson相关性、配对T检验和Bland-Altman分析比较每名参与者的平均HR和两种器械每5分钟的HRV。准确度和精密度指标包括平均绝对相对差（MARD）。结果：EQ 02数据的EQ 10含量在参与者之间（范围1.93-56.45%）和参与者内部（范围0.75-9.61%）变化很大。将EQ 02与霍尔特进行比较，对于包含所有数据和伪影< 50或< 20%的数据集，Pearson相关性分别为0.724、0.955和0.997。对于分别包含所有数据、伪影< 50或< 20%的数据的数据集，Bland-Altman分析估计的偏倚分别为每分钟-2.8、-1.0和-0.8次心跳，24 h MARD分别为7.08、3.01和1.5。在选择包含1.15%伪影的3小时延伸数据后，以NN间期标准差（SDNN）测量的HRV的Pearson相关性为0.786。结论：虽然EQ 02可以准确测量ECG和HRV，但其准确性和精密度高度依赖于伪影内容。这限制了个体患者的临床使用。然而，对于研究目的和/或较大研究参与者群体的家庭监测，EQ 02的优点（能够同时监测多个生理参数）可能超过其缺点（较高的伪影负载）。进一步的研究可以旨在最大限度地减少伪影。
Background: The Equivital (EQ02) is a multi-parameter telemetric device offering both real-time and/or retrospective, synchronized monitoring of ECG, HR, and HRV, respiration, activity, and temperature. Unlike the Holter, which is the gold standard for continuous ECG measurement, EQO2 continuously monitors ECG via electrodes interwoven in the textile of a wearable belt. Objective: To compare EQ02 with the Holter for continuous home measurement of ECG, heart rate (HR), and heart rate variability (HRV). Methods: Eighteen healthy participants wore, simultaneously for 24 h, the Holter and EQ02 monitors. Per participant, averaged HR, and HRV per 5 min from the two devices were compared using Pearson correlation, paired T-test, and Bland-Altman analyses. Accuracy and precision metrics included mean absolute relative difference (MARD). Results: Artifact content of EQ02 data varied widely between (range 1.93–56.45%) and within (range 0.75–9.61%) participants. Comparing the EQ02 to the Holter, the Pearson correlations were respectively 0.724, 0.955, and 0.997 for datasets containing all data and data with < 50 or < 20% artifacts respectively. For datasets containing respectively all data, data with < 50, or < 20% artifacts, bias estimated by Bland-Altman analysis was −2.8, −1.0, and −0.8 beats per minute and 24 h MARD was 7.08, 3.01, and 1.5. After selecting a 3-h stretch of data containing 1.15% artifacts, Pearson correlation was 0.786 for HRV measured as standard deviation of NN intervals (SDNN). Conclusions: Although the EQ02 can accurately measure ECG and HRV, its accuracy and precision is highly dependent on artifact content. This is a limitation for clinical use in individual patients. However, the advantages of the EQ02 (ability to simultaneously monitor several physiologic parameters) may outweigh its disadvantages (higher artifact load) for research purposes and/ or for home monitoring in larger groups of study participants. Further studies can be aimed at minimizing the artifacts.
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