Application of unconstrained BCG extraction in VDT visual fatigue monitoring

The Journal of Engineering

Peng Wang¹  Sanpeng Deng¹  Yuming Qi¹  Yongxiang Jiang¹  Longjia Ma²  Zijing Wang³  Tianjiang Zhang⁴ 

[1] Institute of robotics and intelligent equipment;

[2] Liaocheng People's Hospital;

[3] Tianjin TDNC Science and Technology Co., Ltd;

[4] Tianjin Taihua Easy-Robot Science & Technology Co., Ltd.;

关键词: electrocardiography;    signal denoising;    wavelet transforms;    diseases;    frequency-domain analysis;    time-domain analysis;    medical signal processing;    computer displays;    patient monitoring;    feature extraction;    fast fourier transforms;    vibrational signal processing;    eye diseases;    visual display terminal products;    eye fatigue monitoring;    acceleration sensor;    acceleration signals;    denosing nonlinear noise interference;    power line interference;    frequency domain filtering;    time domain;    vibration signals;    unconstrained bcg extraction;    vdt visual fatigue monitoring;    wavelet transform;    ballistocardiogram;    baseline drift;    human body;    ifft;    ecg;   

DOI  :  10.1049/joe.2018.9139

来源: DOAJ

【 摘 要 】

Eye diseases caused by long times of use of visual display terminal (VDT) products is considered as a serious problem in recent years. The eye fatigue monitoring is significant for early warning. Here, an unconstrained measuring method is used to extract Ballistocardiogram (BCG) by acceleration sensor. The acceleration signals are acquired by installing the sensor on seat back. Adaptive threshold wavelet transform is processed for denosing non-linear noise interference such as power line interference, baseline drift, random movement of human body, and ground vibration. Frequency domain filtering and IFFT are applied to extract BCG from acceleration sensor. RR interval of ECG and JJ interval of BCG in time domain have the similar cycle, and the correlation coefficient is up to 0.9918, which prove the feasibility to extract BCG from vibration signals using unconstrained method.

【 授权许可】

Unknown