Yang Jing, Xu Dongmei, Lu Huanhuan, Yin Xuwen, Song Haiyan, Zong Weiwei, Xu Dandan, Lu Xiaohui, Wei Lan, Zhu Hong, Zhai Shiyin, Gu Zejuan
School of Nursing, Nanjing University of Chinese Medicine, Nanjing, People's Republic of China.
Nursing Department, The First Affiliated Hospital of Nanjing Medical University, Nanjing, People's Republic of China.
Nat Sci Sleep. 2025 Jul 30;17:1757-1768. doi: 10.2147/NSS.S537489. eCollection 2025.
The Huawei Band 9 (HWB 9), a consumer sleep-monitoring device with a high market share and a large user base in China, can provide sleep staging parameters and has broad representativeness in sleep monitoring applications. This study aims to compare the accuracy bias of polysomnography (PSG) and consumer sleep-monitoring devices, specifically the HWB 9, in measuring total sleep time (TST) and explore the factors affecting accuracy bias.
This study employed a sequential explanatory mixed-methods design, with quantitative research comprising 108 samples and qualitative research comprising 18 samples. Select hospitalized patients who required polysomnographic monitoring due to their condition from November 2024 to March 2025 were chosen as the research subjects, and who used PSG and HWB 9 for synchronous sleep monitoring throughout the night. Quantitative data analysis was conducted using descriptive statistics, the Wilcoxon test, Bland-Altman plots, univariate analysis, and multiple linear regression analysis. Qualitative content data were analyzed using NVivo 14.0 software.
The statistical analysis showed a significant difference (P < 0.05) between the HWB 9 and PSG in measuring TST. The Bland-Altman plot showed that the measured values deviated from the consistency interval, indicating systematic overestimation bias. The multiple linear regression analysis showed that turning frequency and sleep posture were significant factors affecting measurement bias. Two main themes were found in the qualitative research: sleep habits and environmental factors, and individual differences and psychological perceptions.
Considering the significant variations in individuals, data from such devices should be used with caution in clinical practice.
华为手环9（HWB 9）是一款在中国市场占有率高、用户基数大的消费级睡眠监测设备，能够提供睡眠分期参数，在睡眠监测应用中具有广泛代表性。本研究旨在比较多导睡眠图（PSG）与消费级睡眠监测设备（特别是HWB 9）在测量总睡眠时间（TST）时的准确性偏差，并探讨影响准确性偏差的因素。
本研究采用序列解释性混合方法设计，定量研究包含108个样本，定性研究包含18个样本。选取2024年11月至2025年3月因病情需要进行多导睡眠图监测的住院患者作为研究对象，让其在整个夜间同时使用PSG和HWB 9进行睡眠监测。定量数据分析采用描述性统计、Wilcoxon检验、Bland-Altman图、单因素分析和多元线性回归分析。定性内容数据采用NVivo 14.0软件进行分析。
统计分析显示，HWB 9与PSG在测量TST时存在显著差异（P < 0.05）。Bland-Altman图显示测量值偏离一致性区间，表明存在系统性高估偏差。多元线性回归分析表明，翻身频率和睡眠姿势是影响测量偏差的显著因素。定性研究发现两个主要主题：睡眠习惯和环境因素，以及个体差异和心理认知。
考虑到个体差异较大，此类设备的数据在临床实践中应谨慎使用。
