| 非接触生命参数检测系统自抖动干扰的抑制技术 |
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| 引用本文： | 路国华,王健琪,杨国胜,王海滨,荆西京,杨波,朱新亚.非接触生命参数检测系统自抖动干扰的抑制技术[J].第四军医大学学报,2002,23(4):376-378. |
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| 作者姓名： | 路国华 王健琪 杨国胜 王海滨 荆西京 杨波 朱新亚 |
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| 作者单位： | 第四军医大学生物医学工程系电子学教研室,陕西,西安,710033 |
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| 基金项目： | 高等学校骨干教师资助计划资助，第四军医大学创新工程资助项目(CX99F0 10 ) |
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| 摘 要： | 目的 研究能够抑制非接触生命参数检测系统因自抖动而产生的干扰对生命参数信号检测的影响技术。方法 选用加速度传感器提取出检测系统的自抖动干扰，作为参考信号，采用自适应信号处理技术，研究对系统自抖动干扰抑制效果。结果 对叠加有系统自抖动干扰的信号进行自适应处理，可提高信噪比（约40dB），提取出有用信号。结论 用自适应信号处理对系统自抖动干扰行抑制有效可行。
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| 关 键 词： | 自抖动干扰 加速度 生物传感器 信号处理 计算机辅助 信噪比 非接触生命参数 |
| 文章编号： | 1000-2790(2002)04-0376-03 |
| 修稿时间： | 2001年10月5日 |
Experimental research on the technology for restraining self-dithering of the system for detecting life parameters in a non-contact way |
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| LU Guo Hua,WANG Jian Qi,YANG Guo Sheng,WANG Hai Bin,JING Xi Jing,YANG Bo,ZHU Xin Ya.Experimental research on the technology for restraining self-dithering of the system for detecting life parameters in a non-contact way[J].Journal of the Fourth Military Medical University,2002,23(4):376-378. |
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| Authors: | LU Guo Hua WANG Jian Qi YANG Guo Sheng WANG Hai Bin JING Xi Jing YANG Bo ZHU Xin Ya |
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| Institution: | LU Guo Hua,WANG Jian Qi,YANG Guo Sheng,WANG Hai Bin,JING Xi Jing,YANG Bo,ZHU Xin Ya Department of Electronics,Faculty of Biomedical Engineering,Fourth Military Medical University,Xi'an 710033,China |
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| Abstract: | AIM To find a technology for restraining the interference produced by self dithering of the system for detecting life parameters. METHODS By selecting the acceleration sensor to extract the self dithering interference of the system, which was treated as the referring signal, we used the technology of adaptive signal processing to see effect of restraining the self dithering interference. RESULTS The technology of adaptive processing improved the signal to noise ratio (SNR) up to 40 dB of mixed signal with self dithering interference of the system and helped to extract the useful signals. CONCLUSION The technology of adaptive signal processing used for restraining the self dithering interference of the system is effective and feasible. |
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| Keywords: | self dithering interference acceleration biosensors signal processing computer assisted SNR |
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