Liu Guanzheng, Wang Qian, Chen ShiXiong, Zhou GuangMin, Chen WenHui, Wu YuanYu
Biomedical Engineering Program, Sun Yat-sen University, Guangzhou, China,
Australas Phys Eng Sci Med. 2014 Sep;37(3):567-74. doi: 10.1007/s13246-014-0281-x. Epub 2014 Jun 10.
To analyze motion artifact's affect on HRV measures, the age/gender related autonomic changes were investigated by using different HRV measures from wearable medical devices under ambulatory home-monitoring condition. Twelve healthy undergraduates and 20 healthy elderly subjects participated in the research. The electrocardiogram data was collected by using waist-worn device developed by us. Ten HRV measures were used to analyze the age-related automatic change including linear and nonlinear HRV indexes. Many linear HRV indexes were seriously contaminated by motion artefact, and did not reflect the age-related autonomic change. The approximate entropy (p < 0.001) was the best indicator among 10 HRV indexes. However, the approximate entropy was also contaminated by motion artefact and did not reflect the gender-related autonomic change. The study verified the hypothesis that the HRV measures could be contaminated under ambulatory monitoring condition. It is importance for ambulatory home-monitoring to study the robustness of HRV measures.
为分析运动伪影对心率变异性（HRV）测量的影响，在家庭动态监测条件下，通过使用可穿戴医疗设备的不同HRV测量方法，研究了与年龄/性别相关的自主神经变化。12名健康大学生和20名健康老年人参与了该研究。心电图数据通过我们开发的腰部佩戴设备收集。使用10种HRV测量方法来分析与年龄相关的自主神经变化，包括线性和非线性HRV指标。许多线性HRV指标受到运动伪影的严重污染，无法反映与年龄相关的自主神经变化。近似熵（p < 0.001）是10种HRV指标中最佳的指标。然而，近似熵也受到运动伪影的污染，无法反映与性别相关的自主神经变化。该研究验证了在动态监测条件下HRV测量可能受到污染的假设。研究HRV测量的稳健性对于家庭动态监测很重要。
