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Apple Watch 6 与 Galaxy Watch 4:日常活动中计步准确性的验证研究。

Apple Watch 6 vs. Galaxy Watch 4: A Validity Study of Step-Count Estimation in Daily Activities.

机构信息

Department of Physical Education, Graduate School of Education, Kyung Hee University, Yongin-si 17014, Republic of Korea.

Department of Sports Medicine and Science, Graduate School of Physical Education, Kyung Hee University, Yongin-si 17014, Republic of Korea.

出版信息

Sensors (Basel). 2024 Jul 18;24(14):4658. doi: 10.3390/s24144658.

Abstract

The purpose of this study was to examine the validity of two wearable smartwatches (the Apple Watch 6 (AW) and the Galaxy Watch 4 (GW)) and smartphone applications (Apple Health for iPhone mobiles and Samsung Health for Android mobiles) for estimating step counts in daily life. A total of 104 healthy adults (36 AW, 25 GW, and 43 smartphone application users) were engaged in daily activities for 24 h while wearing an ActivPAL accelerometer on the thigh and a smartwatch on the wrist. The validities of the smartwatch and smartphone estimates of step counts were evaluated relative to criterion values obtained from an ActivPAL accelerometer. The strongest relationship between the ActivPAL accelerometer and the devices was found for the AW (r = 0.99, < 0.001), followed by the GW (r = 0.82, < 0.001), and the smartphone applications (r = 0.93, < 0.001). For overall group comparisons, the MAPE (Mean Absolute Percentage Error) values (computed as the average absolute value of the group-level errors) were 6.4%, 10.5%, and 29.6% for the AW, GW, and smartphone applications, respectively. The results of the present study indicate that the AW and GW showed strong validity in measuring steps, while the smartphone applications did not provide reliable step counts in free-living conditions.

摘要

本研究旨在检验两款可穿戴智能手表(Apple Watch 6(AW)和 Galaxy Watch 4(GW))和智能手机应用程序(iPhone 手机的 Apple Health 和 Android 手机的 Samsung Health)在日常生活中估算步数的有效性。共有 104 名健康成年人(36 名 AW 参与者、25 名 GW 参与者和 43 名智能手机应用程序使用者)在佩戴大腿上的 ActivPAL 加速度计和手腕上的智能手表的情况下进行了 24 小时的日常活动。智能手表和智能手机对步数的估计值的有效性是相对于从 ActivPAL 加速度计获得的标准值进行评估的。智能手表和智能手机与加速度计之间的关系最强的是 AW(r = 0.99,<0.001),其次是 GW(r = 0.82,<0.001),然后是智能手机应用程序(r = 0.93,<0.001)。对于总体组比较,AW、GW 和智能手机应用程序的平均绝对百分比误差(MAPE)值(计算为组级误差的平均值的绝对值)分别为 6.4%、10.5%和 29.6%。本研究结果表明,AW 和 GW 在测量步数方面具有很强的有效性,而智能手机应用程序在自由生活条件下无法提供可靠的步数计数。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9450/11281039/e37d564e9e0e/sensors-24-04658-g001.jpg

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