嵌入式基于硬件的适应过用于降低生物阻抗数据
Mitar Simić1, Cherif Ouni2, Nour Ammar2
1Faculty of Technical Sciences, University of Novi Sad, 21000, Novi Sad, Serbia.
Computers in biology and medicine
|September 4, 2025
概括
这项研究引入了一个自动化的数字过器,用于降低可穿戴设备的生物阻抗数据. 这种方法可以在不需要手动调整的情况下优化过器的性能,从而提高信号质量,从而更好地监测其健康状况.
科学领域:
- 生物医学工程
- 信号处理
- 可穿戴技术
背景情况:
- 越来越多的可穿戴设备用于健康监测,需要获得强大的生物阻抗数据.
- 像AD5933这样的集成电路可以提供负担得起的生物阻抗解决方案, 但降低噪声仍然是一个挑战.
- 传统的数字波器通常需要手动调节,从而限制它们对不同生物阻抗信号的适应性.
研究的目的:
- 开发一个自动化的数字过器,以有效地降低生物阻抗数据.
- 在没有预先信号知识的情况下实现适应性波器系数调整.
- 验证该方法在便携式生物阻抗系统中的性能和适用性.
主要方法:
- 基于最小化连续过数据点之间的光滑差异的自动化数字过器设计.
- 在微控制器上实现实时处理.
- 使用合成和实验生物阻抗,电肌图 (EMG) 和呼吸数据进行测试.
主要成果:
- 在噪声水平达到2%的情况下,信号与噪声比提高了8dB.
- 已证明低功耗 (<11 mW) 和快速执行时间 (<185 ms).
- 成功过各种生物阻抗信号, 包括电磁波和呼吸.
结论:
- 拟议的自动过器为生物阻抗数据提供了高效和适应性的降噪.
- 该方法适用于低功率,便携式和可穿戴式生物阻抗应用.
- 过器的多功能性扩展到各种生物信号, 增强其实用性.
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