O-EG004. Comparing the accuracy of sleep staging data from a new wearable sleep electroencephalography device versus the Fitbit Charge 3 with polysomnography as reference
O-EG004. Comparing the accuracy of sleep staging data from a new wearable sleep electroencephalography device versus the Fitbit Charge 3 with polysomnography as reference
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O-EG004。
DOI：
10.1016/j.clinph.2021.02.125
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发表时间：
2021
影响因子：
4.7
通讯作者：
Masashi Yanagisawa
中科院分区：
文献类型：
--
作者：
Yoko Suzuki;Takashi Abe;Fusae Kawana;Satomi Okabe;Toshio Kokubo;Kazuya Hoshino;Misao Baba;Masaaki Fujiwara;Masashi Yanagisawa
导论.虽然睡眠障碍是一个常见的社会问题，但多导睡眠图（PSG），睡眠诊断的黄金标准，可能是沉重的负担，并可能干扰自然睡眠。我们开发了一种高精度的可穿戴脑电图（EEG）设备，用于在家中客观测量睡眠。具有测量心率变异性的能力的活动记录设备也可以用于评估家中的睡眠阶段（例如，Fitbit Charge 3）。然而，这些家用设备的准确性尚未进行比较。我们假设我们的可穿戴睡眠EEG设备的准确性将高于Fitbit Charge 3.Methods。我们同时记录了42名（平均值± SD：23.5 ± 7.8岁，14名女性）健康参与者的PSG，可穿戴睡眠EEG和Fitbit Charge 3的数据。一位注册的多导睡眠描记技术专家对PSG和可穿戴睡眠EEG数据进行了评分，我们使用Fitbit自动睡眠分期算法（阶段W，N1+N2，N3和R）评估了Fitbit Charge 3捕获的睡眠阶段。我们测量并比较了可穿戴EEG设备和Fitbit Charge 3数据相对于PSG数据的准确性。可穿戴睡眠EEG设备和Fitbit Charge 3的准确性分别为90.7 ± 2.8%和69.5 ± 8.3%（平均值± SD）。可穿戴睡眠脑电图仪的准确性显著高于Fitbit（p <0. 001）。与Fitbit Charge 3的数据相比，可穿戴睡眠EEG设备的数据更接近PSG数据。因此，可穿戴睡眠EEG设备可以上级Fitbit Charge 3作为PSG的替代品。我们的可穿戴睡眠脑电图设备有潜力用于在家庭环境中连续多个晚上的睡眠评估。
Introduction. Although sleep disorders are a common social problem, polysomnography (PSG), the gold standard in sleep diagnostics, can be burdensome and may interfere with natural sleep. We have developed a high-precision wearable electroencephalography (EEG) device for objectively measuring sleep at home. Actigraphy devices with the capability of measuring heart rate variability can also be used to evaluate sleep stages at home (e.g., Fitbit Charge 3). However, the accuracy of these inhome devices has not yet been compared. We hypothesized that the accuracy of our wearable sleep EEG device would be higher than that of the Fitbit Charge 3.Methods. We simultaneously recorded PSG, wearable sleep EEG, and data from the Fitbit Charge 3 in 42 (mean ± SD: 23.5 ± 7.8 years, 14 women) healthy participants. A registered polysomnographic technologist scored the PSG and wearable sleep EEG data, and we evaluated the sleep stages captured by the Fitbit Charge 3 using the Fitbit automatic sleep staging algorithm (stage W, N1+N2, N3, and R). We measured and compared the accuracy of the wearable EEG device and Fitbit Charge 3 data with respect to the PSG data.Results. The accuracy of the wearable sleep EEG device and Fitbit Charge 3 was 90.7 ± 2.8% and 69.5 ± 8.3 %, respectively (mean ± SD). The wearable sleep EEG device had significantly higher accuracy than the Fitbit (p < 0.001).Conclusion. Compared with the Fitbit Charge 3 data, data from the wearable sleep EEG device more closely mirrored the PSG data. Thus, the wearable sleep EEG device may be superior to the Fitbit Charge 3 as an alternative to PSG. Our wearable sleep EEG device has potential for use in sleep evaluations for multiple consecutive nights in an in-home setting.