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[Study on eliminating self-dithering interference of the system for non-contact detecting life parameters based on an
Jianqi Wang1, Guohua Lu, Haibing Wang
1Biomedical Engineering Research Institute, Xi'an Jiaotong University, Xi'an 710049, China.
Summary
This study introduces an adaptive technology using a variable step-size LMS algorithm to reduce self-dithering interference in non-contact vital sign detection systems, improving signal quality.
Area of Science:
- Biomedical Engineering
- Signal Processing
Context:
- Non-contact vital sign detection systems monitor physiological parameters like heartbeat and breathing remotely.
- Self-dithering interference degrades signal quality and reduces the signal-to-noise ratio (SNR).
Purpose:
- To develop and evaluate an adaptive technology for eliminating self-dithering interference in non-contact vital sign detection.
- To enhance the signal-to-noise ratio (SNR) of detected physiological signals.
Summary:
- An adaptive technology based on a variable step-size Least Mean Squares (LMS) algorithm is proposed to mitigate self-dithering interference.
- A novel method for obtaining a reference signal using a vibration sensor is presented, with analysis of optimal parameter settings.
- Experimental results demonstrate the effectiveness of the reference signal and the convergence of the adaptive algorithm.
Impact:
- Successfully reduces self-dithering interference in non-contact vital sign monitoring.
- Significantly improves the signal-to-noise ratio (SNR) for more accurate remote physiological measurements.
- Provides a feasible and effective solution for enhancing the performance of vital sign detection systems.