Korpan Sheila M, Schafer Jenessa L, Wilson Kaylie C, Webber Sandra C
School of Physical Therapy, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
J Aging Phys Act. 2015 Jul;23(3):377-82. doi: 10.1123/japa.2014-0033. Epub 2014 Aug 7.
Accelerometer step count accuracy may be affected by gait speed, device positioning, and analysis algorithm selection. We assessed ActiGraph GT3X+ step count accuracy related to device placement and analysis algorithm in older adults with walking aids (n = 13) and without walking aids (n = 22). Participants (81.5 ± 5.0 years of age) completed a timed 100-m walk wearing five GT3X+ monitors (hips, ankles, lumbar spine). Individuals with walking aids had slower gait speeds (0.8 ± 0.20 m/s versus 1.2 ± 0.20 m/s without walking aids, p < .001). Intraclass correlation coefficient values for observed versus monitored steps were highest when ankle placement and the low frequency extension (LFE) algorithm were used (left ankle ICC = .989, right ankle ICC = .998). Using the GT3X+ ankle placement and analyzing data with the LFE algorithm resulted in the most accurate step counts in older adults.
加速度计步数计数的准确性可能会受到步态速度、设备位置和分析算法选择的影响。我们评估了ActiGraph GT3X+在有行走辅助器具的老年人（n = 13）和无行走辅助器具的老年人（n = 22）中与设备放置和分析算法相关的步数计数准确性。参与者（年龄81.5±5.0岁）佩戴五个GT3X+监测器（髋部、脚踝、腰椎）完成了100米定时步行。有行走辅助器具的个体步态速度较慢（0.8±0.20米/秒，无行走辅助器具的个体为1.2±0.20米/秒，p <.001）。当使用脚踝放置和低频扩展（LFE）算法时，观察到的步数与监测到的步数之间的组内相关系数值最高（左脚踝ICC =.989，右脚踝ICC =.998）。在老年人中，使用GT3X+脚踝放置并采用LFE算法分析数据可得出最准确的步数计数。
