Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina , Columbia, SC, USA.
Department of Exercise Science, Arnold School of Public Health, University of South Carolina , Columbia, SC, USA.
J Sports Sci. 2020 Sep;38(17):2021-2034. doi: 10.1080/02640414.2020.1767348. Epub 2020 Jun 19.
Heart rate (HR), when combined with accelerometry, can dramatically improve estimates of energy expenditure and sleep. Advancements in technology, via the development and introduction of small, low-cost photoplethysmography devices embedded within wrist-worn consumer wearables, have made the collection of heart rate (HR) under free-living conditions more feasible. This systematic review and meta-analysis compared the validity of wrist-worn HR estimates to a criterion measure of HR (electrocardiography ECG or chest strap). Searches of PubMed/Medline, Web of Science, EBSCOhost, PsycINFO, and EMBASE resulted in a total of 44 articles representing 738 effect sizes across 15 different brands. Multi-level random effects meta-analyses resulted in a small mean difference (beats per min, bpm) of -0.40 bpm (95 confidence interval (CI) -1.64 to 0.83) during sleep, -0.01 bpm (-0.02 to 0.00) during rest, -0.51 bpm (-1.60 to 0.58) during treadmill activities (walking to running), while the mean difference was larger during resistance training (-7.26 bpm, -10.46 to -4.07) and cycling (-4.55 bpm, -7.24 to -1.87). Mean difference increased by 3 bpm (2.5 to 3.5) per 10 bpm increase of HR for resistance training. Wrist-worn devices that measure HR demonstrate acceptable validity compared to a criterion measure of HR for most common activities.
心率 (HR) 与加速度计结合使用，可以大大提高能量消耗和睡眠的估计值。通过开发和引入小型、低成本的光电容积脉搏波设备，并将其嵌入腕戴式消费可穿戴设备中，技术的进步使得在自由生活条件下收集心率 (HR) 变得更加可行。本系统评价和荟萃分析比较了腕戴式 HR 估计值与 HR 的标准测量值（心电图 ECG 或胸带）的有效性。通过对 PubMed/Medline、Web of Science、EBSCOhost、PsycINFO 和 EMBASE 的搜索，共检索到 44 篇文章，代表了 15 个不同品牌的 738 个效应量。多级随机效应荟萃分析得出，在睡眠期间，平均差异（每分钟心跳数，bpm）为-0.40 bpm（95%置信区间 (CI) -1.64 至 0.83），在休息期间为-0.01 bpm（-0.02 至 0.00），在跑步机活动（步行到跑步）期间为-0.51 bpm（-1.60 至 0.58），而在抗阻训练和骑自行车期间的平均差异更大（-7.26 bpm，-10.46 至-4.07）和（-4.55 bpm，-7.24 至-1.87）。抗阻训练时，HR 每增加 10 bpm，平均差异增加 3 bpm（2.5 至 3.5）。与 HR 的标准测量值相比，测量 HR 的腕戴式设备在大多数常见活动中具有可接受的有效性。
