量化从消费级光电心电学手腕带获得的间节拍间隔的精度,使用基于电心图的信息相似性方法

Xingran Cui1,2, Jing Wang1, Shan Xue1

  • 1School of Biological Science and Medical Engineering, Southeast University, Nanjing, People's Republic of China.

Physiological measurement
|February 22, 2024
PubMed
概括

消费者腕带可以在删除低信号噪声比 (SNR) 数据后准确监测心率变化 (HRV). 这改善了HRV和精神状态分类,使PPG设备在健康跟踪方面更加可靠.

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