基于包络提取BCG数据处理的无创光纤传感生命体征监测

Hanyu Zhao, Guo Zhu, Fei Liu, Xiaojun Liu, Jinhui Yuan, Xian Zhou
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引用次数: 0

摘要

本文提出了一种基于包络提取的无创光纤传感器balliccardiography (BCG)数据处理方法。每分钟测量数据的心率计算值精度可达1.28±0.59 bpm (Mean Absolute Error±Standard Deviation, MAE±SD)。该系统可以识别人体状态,分析心率变异性(HRV)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Non-Invasive Optical Fiber Sensing Vital Signs Monitoring Based on Envelope Extraction BCG Data Processing
An envelope-extraction-based ballistocardiography (BCG) data processing method is proposed with a non-invasive optical fiber sensor in this paper. The accuracy of heart rate calculation value can reach 1.28 ± 0.59 bpm (Mean Absolute Error ± Standard Deviation, MAE ± SD) for one minute of measured data. This designed system can identify human body status and analyze Heart Rate Variability (HRV).
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