冲动是有用的:在儿童的睡眠期间,从手腕放置的加速度计冲动中提取脉率
R Glenn Weaver1, M V S Chandrashekhar1, Bridget Armstrong1
1Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA.
Sleep
|May 3, 2024
概括
佩戴在手腕上的加速度计可以估计儿童的睡眠心率. 果手表系列7显示了中等的准确性,而ActiGraph GT9X表现不佳,表明了对非侵入性儿科睡眠监测的潜力.
科学领域:
- 生物医学工程 生物医学工程
- 睡眠医学 睡眠医学
- 可穿戴技术可穿戴技术
背景情况:
- 在睡眠期间精确监测心率对于评估儿科睡眠健康至关重要.
- 电心电图 (ECG) 是黄金标准,但对于长期监测来说是侵入性的和不切实际的.
- 腕式加速度计为持续的生理数据收集提供了一个非侵入性的替代方案.
研究的目的:
- 为了评估心率估计的准确性,使用手腕穿戴的加速度计与睡眠期间儿童的心电图相比.
- 为了比较Apple Watch Series 7 (AWS7) 和ActiGraph GT9X设备在从加速度计数据中预测心率方面的性能.
主要方法:
- 82名儿童在佩戴AWS7和ActiGraph GT9X时接受了多睡眠扫描.
- 心率是从加速度计 (冲击分析) 和心电图 (R-R间隔) 中得出的.
- 使用林的一致性相关系数 (CCC),平均绝对误差 (MAE) 和平均绝对百分比误差 (MAPE) 来评估协议.
主要成果:
- 在AWS7中,与心电图心率的适度一致 (CCC=0.61),MAE (6.4 bpm) 和MAPE (7.3%) 较低.
- 在ActiGraph GT9X显示低一致性 (CCC=-0.11) 与高MAE (16.8 bpm) 和MAPE (20.4%).
- 在更深的睡眠阶段 (N2,N3,REM) 和更高的信号质量时,AWS7的准确性更好.
结论:
- 来自AWS7的原始加速度计数据可用于估计睡眠儿童的心率.
- 在这个人群中,ActiGraph GT9X的加速度计数据不适合准确估计心率.
- 需要进一步的研究来了解GT9X性能的局限性.
关键词:
动画摄影 (actigraphy) 是一种摄影方式.门诊睡眠监测监测 门诊睡眠监测孩子们的孩子们的孩子们的孩子们.心率变化的心率变化.这是开源的,开源的.儿科 行为学睡眠跟踪 睡眠跟踪验证验证的时间更多相关视频
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