Sport sciences, Department of Health Science and Technology, Aalborg University, Fredrik Bajers Vej 7, DK-9220 Aalborg East, Denmark; Centre for Clinical Research, North Denmark Regional Hospital, Bispensgade 37, DK-9800 Hjoerring, Denmark.
Sport sciences, Department of Health Science and Technology, Aalborg University, Fredrik Bajers Vej 7, DK-9220 Aalborg East, Denmark.
Gait Posture. 2020 Jul;80:80-83. doi: 10.1016/j.gaitpost.2020.05.037. Epub 2020 May 29.
Commercially available physical activity trackers are very popular in the general population and are increasingly common in clinical and research settings. The marketfor activity trackers are rapidly expanding, requiring them to be validated on an ongoing basis. Different approaches have been used for validating these devices. Studies using treadmills shows good step-counting accuracy although test performed in field tests settings are limited.
Does step-counting validity differ between a field test and a treadmill protocol for different types of activity trackers?
Thirty healthy subjects participated in this study, mean age was 28.2 (± 4.33) years, body mass 78.9 (± 12.9) kg, and height 178.5 (± 9.7) cm. A treadmill protocol with three different walking speeds (2, 3 and 4 km/h) and a 982 m field test was used. During the tests, participants' feet were filmed using a waist-mounted camera. The number of steps were extracted from the video data and used for comparison with four different step counters: a) Polar M200; b) Polar A300; c) Dunlop pedometer; d) Samsung Galaxy S9 smartphone. Validity and agreement determined was determined with the use of Bland-Altman plot and Spearman's correlation.
Validity was higher for the field test compared to the 4 km/h treadmill test for all tested devices. The smartphone was the most accurate in terms of error, validity and agreement for both the treadmill and field test. All devices performed poorly for the 2 km/h treadmill test and only the smartphone performed well at 3 km/h.
The results of this study show that step counting validity and error obtained during treadmill walking is not similar to a field test. Future validation studies of activity trackers should consider this when designing a protocol. The smartphone had the lowest mean bias during the field test.
市售的运动追踪器在普通人群中非常受欢迎,并且在临床和研究环境中越来越常见。运动追踪器市场正在迅速扩张,需要对其进行持续验证。目前已经有不同的方法用于验证这些设备。虽然在现场测试环境中进行的测试有限,但使用跑步机的研究表明其计步的准确性较高。
不同类型的运动追踪器在现场测试和跑步机测试中,计步的准确性是否存在差异?
本研究纳入了 30 名健康受试者,平均年龄为 28.2(±4.33)岁,体重为 78.9(±12.9)kg,身高为 178.5(±9.7)cm。使用三种不同的步行速度(2、3 和 4km/h)的跑步机协议和 982m 的现场测试。在测试过程中,使用腰部安装的摄像机拍摄参与者的脚部。从视频数据中提取步数,并与四个不同的计步器进行比较:a)Polar M200;b)Polar A300;c)Dunlop 计步器;d)Samsung Galaxy S9 智能手机。使用 Bland-Altman 图和 Spearman 相关性来确定准确性和一致性。
对于所有测试设备,现场测试的准确性都高于 4km/h 跑步机测试。在跑步机和现场测试中,智能手机在误差、准确性和一致性方面表现最好。所有设备在 2km/h 跑步机测试中的表现都较差,只有智能手机在 3km/h 时表现良好。
本研究结果表明,跑步机步行时获得的计步准确性和误差与现场测试不相似。在设计活动追踪器的验证方案时,未来的验证研究应该考虑到这一点。在现场测试中,智能手机的平均偏差最小。