Validation of a Self-Monitoring Tool for Use in Exercise Therapy.
Validation of a Self-Monitoring Tool for Use in Exercise Therapy.
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DOI：
10.1016/j.pmrj.2017.03.012
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发表时间：
2017-11
期刊：
影响因子：
--
通讯作者：
Mihalik JP
中科院分区：
文献类型：
--
作者：
Powierza CS;Clark MD;Hughes JM;Carneiro KA;Mihalik JP
亚症状心率下的有氧运动已被推荐作为脑震荡后综合症 (PCS) 的治疗方法。使用准确的心率监测仪器评估依从性很难限制大规模随机对照试验的扩散。评估 Fitbit Charge HR 与心电图 (EKG) 的有效性，以在基于跑步机的锻炼方案中监测心率。方法比较研究。三级医疗机构内的运动医学研究中心。 22 名年龄 18-26 岁的健康参与者（12 名女性）的方便样本（平均年龄：22 ± 2 岁）。将 Fitbit Charge HR 心率测量值与参与者完成布法罗脑震荡跑步机测试 (BCTT) 时同时收集的心电图数据进行比较。 Fitbit Charge HR 和 EKG 之间的一致性通过组内相关系数 (ICC3,1)、Bland-Altman 一致性限制和百分比误差进行评估。我们观察到 Fitbit Charge HR 和 EKG 之间的单项测量绝对一致（ICC3,1 = 0.83；95% CI：0.67 – 0.90）。与 EKG 相比，Fitbit Charge HR 低估了心率（平均差异 = −6.04 次/分钟 (bpm)；SD = 10.40 bpm；Bland-Altman 95% 一致性限度 = −26.42 至 14.35 bpm）。与 EKG 相比，69.9% 的 Fitbit 心率测量值误差在 10% 以内，91.5% 的所有心率测量值误差在 20% 以内。虽然测量心率的平均偏差相对较小，但 Fitbit Charge HR 和 EKG 之间的一致性范围很大。因此，Fitbit Charge HR 并不是监测窄范围心率的合适选择。就脑震荡后运动治疗而言，Fitbit Charge HR 相对便宜的成本、易于实施和低维护成本使其成为在无法获得昂贵的临床设备时评估运动计划依从性的可行选择。
Aerobic exercise at a sub-symptom heart rate has been recommended as therapy for Post-Concussion Syndrome (PCS). Assessing adherence with an accurate heart rate monitoring instrument is difficult limiting the proliferation of large-scale randomized controlled trials. To evaluate the validity of the Fitbit Charge HR against electrocardiogram (EKG) to monitor heart rate during a treadmill-based exercise protocol. A methods comparison study. Sports medicine research center within a tertiary care institution. A convenience sample of 22 healthy participants (12 female) aged 18–26 years (mean age: 22 ± 2 years). Fitbit Charge HR heart rate measurements were compared to EKG data concurrently collected while participants completed the Buffalo Concussion Treadmill Test (BCTT). Agreement between Fitbit Charge HR and EKG was assessed by intraclass correlation coefficients (ICC3,1), Bland-Altman limits of agreement, and percent error. We observed a strong single-measure absolute agreement between Fitbit Charge HR and EKG (ICC3,1 = 0.83; 95% CI: 0.67 – 0.90). Fitbit Charge HR underestimated heart rate compared to EKG (mean difference = −6.04 beats per min (bpm); SD = 10.40 bpm; Bland-Altman 95% limits of agreement = −26.42 to 14.35 bpm). 69.9% of Fitbit heart rate measurements were within 10% error compared to EKG, and 91.5% of all heart rate measurements were within 20% error. While the mean bias in measuring heart rate was relatively small, the limits of agreement between the Fitbit Charge HR and EKG were broad. Thus, the Fitbit Charge HR would not be a suitable option for monitoring heart rate within a narrow range. For the purposes of post-concussion exercise therapy, the relatively inexpensive cost, easy implementation, and low maintenance make Fitbit Charge HR a viable option for assessing adherence to an exercise program when expensive clinical equipment is unavailable.
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DOI：
10.1186/1479-5868-5-56
发表时间：
2008-11-06
影响因子：
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作者：
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