Moore Christopher C, McCullough Aston K, Aguiar Elroy J, Ducharme Scott W, Tudor-Locke Catrine
J Phys Act Health. 2020 Jul 11;17(8):840-852. doi: 10.1123/jpah.2019-0205. Print 2020 Aug 1.
The authors conducted a scoping review as a first step toward establishing harmonized (ie, consistent and compatible), empirically based best practices for validating step-counting wearable technologies.
To catalog studies validating step-counting wearable technologies during treadmill ambulation.
The authors searched PubMed and SPORTDiscus in August 2019 to identify treadmill-based validation studies that employed the criterion of directly observed (including video recorded) steps and cataloged study sample characteristics, protocol details, and analytical procedures. Where reported, speed- and wear location-specific mean absolute percentage error (MAPE) values were tabulated. Weighted median MAPE values were calculated by wear location and a 0.2-m/s speed increment.
Seventy-seven eligible studies were identified: most had samples averaging 54% (SD = 5%) female and 27 (5) years of age, treadmill protocols consisting of 3 to 5 bouts at speeds of 0.8 (0.1) to 1.6 (0.2) m/s, and reported measures of bias. Eleven studies provided MAPE values at treadmill speeds of 1.1 to 1.8 m/s; their weighted median MAPE values were 7% to 11% for wrist-worn, 1% to 4% for waist-worn, and ≤1% for thigh-worn devices.
Despite divergent study methodologies, the authors identified common practices and summarized MAPE values representing device step-count accuracy during treadmill walking. These initial empirical findings should be further refined to ultimately establish harmonized best practices for validating wearable technologies.
作者进行了一项范围综述,作为建立统一(即一致且兼容)的、基于实证的步数计数可穿戴技术验证最佳实践的第一步。
对在跑步机行走过程中验证步数计数可穿戴技术的研究进行编目。
作者于2019年8月检索了PubMed和SPORTDiscus,以识别采用直接观察(包括视频记录)步数标准的基于跑步机的验证研究,并编目研究样本特征、方案细节和分析程序。在有报告的情况下,列出特定速度和佩戴位置的平均绝对百分比误差(MAPE)值。按佩戴位置和0.2米/秒的速度增量计算加权中位数MAPE值。
共识别出77项符合条件的研究:大多数样本中女性平均占54%(标准差=5%),年龄为27(5)岁,跑步机方案包括以0.8(0.1)至1.6(0.2)米/秒的速度进行3至5次运动,并报告了偏差测量值。11项研究提供了跑步机速度为1.1至1.8米/秒时的MAPE值;腕部佩戴设备的加权中位数MAPE值为7%至11%,腰部佩戴设备为1%至4%,大腿佩戴设备≤1%。
尽管研究方法存在差异,但作者确定了常见做法,并总结了代表跑步机行走过程中设备步数计数准确性的MAPE值。这些初步的实证研究结果应进一步完善,以最终建立验证可穿戴技术的统一最佳实践。