HSF-IBI:一种通用框架,用于从异构的不干扰传感器中提取节拍间隔
Zhongrui Bai1,2, Pang Wu2, Fanglin Geng2
1School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
Bioengineering (Basel, Switzerland)
|January 8, 2025
概括
本研究介绍了HSF-IBI,这是一个新的框架,用于从多个不引人注目的传感器中准确地提取心跳间隔 (IBI). 该方法提高了检测率和精确度,用于监测生命体征.
科学领域:
- 生物医学工程 生物医学工程
- 信号处理 信号处理
- 可穿戴技术可穿戴技术
背景情况:
- 准确的心跳间隔 (IBI) 提取对于不引人注目的生命体征监测至关重要.
- 目前的方法在精度和稳定性方面面临挑战,尤其是异构的传感器数据.
研究的目的:
- 引入HSF-IBI,这是一个新且通用的框架,用于使用异质传感器融合进行不显眼的IBI提取.
- 通过整合来自不同传感器的信号,提高IBI提取的准确性和稳定性.
主要方法:
- 使用和总和 (HarSum) 来计算平均心率,以指导最佳频段选择 (OBS).
- 采用基于基本顺序算法方案 (BSAS) 的模板组提取和模板匹配 (TM).
- 通过评估信号质量指数 (SQI) 来确定最佳IBI,确保形态独立.
主要成果:
- HSF-IBI框架成功地整合了来自异质传感器的数据,在两个数据集上,检测率提高了6.25%和5.21%.
- 与现有方法相比,获得了更高的精度,平均绝对误差 (MAE) 为5.25毫秒和4.56毫秒.
结论:
- 拟议的HSF-IBI框架为使用异质传感器融合进行不显眼的IBI提取提供了强大而准确的解决方案.
- 这种方法通过提高检测率和减少错误,显著提高了生命体征监测能力.
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