title: [Study on eliminating self-dithering interference of the system for non-contact detecting life parameters based on an adaptive algorithm].
abstract: The non-contact life parameters detecting systems can detect many important life parameters such as heartbeat and breathing at certain distance. In practice, the self-dithering interference of the system is produced by some factors; it makes the signal-to-noise ratio (SNR) of the recorded signal lower. This paper is discussed an adaptive technology based on a variable step-size LMS algorithm, which is used to eliminate the self-dithering interference of the system and hence to raise the SNR of the detecting signal. A method to obtain the reference signal by vibration sensor is brought forward and the optimum parameters settings are discussed. The results show that the reference signal is an integral part of output signal of the vibration sensor and has a relationship with the setting direction of the sensor. The conclusion is that the method is effective and feasible; also the algorithm is well convergent.
authors.affiliation: Biomedical Engineering Research Institute, Xi'an Jiaotong University, Xi'an 710049, China.
authors.forename: Jianqi
authors.initials: J
authors.lastname: Wang
authors.forename: Guohua
authors.initials: G
authors.lastname: Lu
authors.forename: Haibing
authors.initials: H
authors.lastname: Wang
authors.forename: Xijing
authors.initials: X
authors.lastname: Jin
authors.forename: Ansheng
authors.initials: A
authors.lastname: Ni
authors.forename: Chongxun
authors.initials: C
authors.lastname: Zheng
mesh_terms: D000465:Algorithms; D003627:Data Interpretation, Statistical; D004594:Electrophysiology / Q000379:methods; D004867:Equipment Design; D006339:Heart Rate / Q000502:physiology*; D008954:Models, Biological; D012016:Reference Values; D012119:Respiration; D012815:Signal Processing, Computer-Assisted; D012984:Software