Application of unconstrained BCG extraction in VDT visual fatigue monitoring
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 sens...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-10-01
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| Series: | The Journal of Engineering |
| Subjects: | |
| Online Access: | https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9139 |
| _version_ | 1819069306061717504 |
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| author | Yongxiang Jiang Peng Wang Sanpeng Deng Yuming Qi Longjia Ma Zijing Wang Tianjiang Zhang |
| author_facet | Yongxiang Jiang Peng Wang Sanpeng Deng Yuming Qi Longjia Ma Zijing Wang Tianjiang Zhang |
| author_sort | Yongxiang Jiang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-21T16:47:56Z |
| format | Article |
| id | doaj.art-3cb7579fdbcf4418a0421cdb06ed3ede |
| institution | Directory Open Access Journal |
| issn | 2051-3305 |
| language | English |
| last_indexed | 2024-12-21T16:47:56Z |
| publishDate | 2019-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Journal of Engineering |
| spelling | doaj.art-3cb7579fdbcf4418a0421cdb06ed3ede2022-12-21T18:56:57ZengWileyThe Journal of Engineering2051-33052019-10-0110.1049/joe.2018.9139JOE.2018.9139Application of unconstrained BCG extraction in VDT visual fatigue monitoringYongxiang Jiang0Peng Wang1Sanpeng Deng2Yuming Qi3Longjia Ma4Zijing Wang5Tianjiang Zhang6Institute of robotics and intelligent equipmentInstitute of robotics and intelligent equipmentInstitute of robotics and intelligent equipmentInstitute of robotics and intelligent equipmentLiaocheng People's HospitalTianjin TDNC Science and Technology Co., LtdTianjin Taihua Easy-Robot Science & Technology Co., Ltd.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.https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9139electrocardiographysignal denoisingwavelet transformsdiseasesfrequency-domain analysistime-domain analysismedical signal processingcomputer displayspatient monitoringfeature extractionfast fourier transformsvibrational signal processingeye diseasesvisual display terminal productseye fatigue monitoringacceleration sensoracceleration signalsdenosing nonlinear noise interferencepower line interferencefrequency domain filteringtime domainvibration signalsunconstrained bcg extractionvdt visual fatigue monitoringwavelet transformballistocardiogrambaseline drifthuman bodyifftecg |
| spellingShingle | Yongxiang Jiang Peng Wang Sanpeng Deng Yuming Qi Longjia Ma Zijing Wang Tianjiang Zhang Application of unconstrained BCG extraction in VDT visual fatigue monitoring The Journal of Engineering 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 |
| title | Application of unconstrained BCG extraction in VDT visual fatigue monitoring |
| title_full | Application of unconstrained BCG extraction in VDT visual fatigue monitoring |
| title_fullStr | Application of unconstrained BCG extraction in VDT visual fatigue monitoring |
| title_full_unstemmed | Application of unconstrained BCG extraction in VDT visual fatigue monitoring |
| title_short | Application of unconstrained BCG extraction in VDT visual fatigue monitoring |
| title_sort | application of unconstrained bcg extraction in vdt visual fatigue monitoring |
| topic | 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 |
| url | https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9139 |
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