A Novel Signal Acquisition System for Wearable Respiratory Monitoring
In this paper, a novel human respiration detection method based on angular velocity is proposed for continuous acquisition and analysis of respiratory signals. Using patient-specific information derived from a wearable sensor, our proposed system is capable of monitoring human respiration and assist...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8374029/ |
| _version_ | 1818411638552788992 |
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| author | Guo Dan Junhao Zhao Zihao Chen Huanyu Yang Zhemin Zhu |
| author_facet | Guo Dan Junhao Zhao Zihao Chen Huanyu Yang Zhemin Zhu |
| author_sort | Guo Dan |
| collection | DOAJ |
| description | In this paper, a novel human respiration detection method based on angular velocity is proposed for continuous acquisition and analysis of respiratory signals. Using patient-specific information derived from a wearable sensor, our proposed system is capable of monitoring human respiration and assists in identifying potential respiratory disorders by relying on pre-defined simple procedures. Specifically, our signal verification platform is equipped with a carbon dioxide concentration detection device in order to acquire a synchronous signal. In addition, a median filter method is used to extract the respiratory waveform from the original signal. The obtained angular velocity waveform pertaining to human respiration is then compared to the respiratory carbon dioxide concentration waveform, and the validity of our designated parameters is verified. The test results demonstrate that our implemented system is appropriate for unobtrusive respiratory signals acquisition and analysis; therefore, it can be considered a potential alternative for physiological monitoring and respiratory disorders screening. |
| first_indexed | 2024-12-14T10:34:36Z |
| format | Article |
| id | doaj.art-dcf26566958d450183736202a85a5215 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-14T10:34:36Z |
| publishDate | 2018-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-dcf26566958d450183736202a85a52152022-12-21T23:05:59ZengIEEEIEEE Access2169-35362018-01-016343653437110.1109/ACCESS.2018.28444028374029A Novel Signal Acquisition System for Wearable Respiratory MonitoringGuo Dan0https://orcid.org/0000-0002-0171-5599Junhao Zhao1Zihao Chen2Huanyu Yang3Zhemin Zhu4School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, ChinaSchool of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, ChinaSchool of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, ChinaSchool of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, ChinaShenzhen Institute of Neuroscience, Shenzhen, ChinaIn this paper, a novel human respiration detection method based on angular velocity is proposed for continuous acquisition and analysis of respiratory signals. Using patient-specific information derived from a wearable sensor, our proposed system is capable of monitoring human respiration and assists in identifying potential respiratory disorders by relying on pre-defined simple procedures. Specifically, our signal verification platform is equipped with a carbon dioxide concentration detection device in order to acquire a synchronous signal. In addition, a median filter method is used to extract the respiratory waveform from the original signal. The obtained angular velocity waveform pertaining to human respiration is then compared to the respiratory carbon dioxide concentration waveform, and the validity of our designated parameters is verified. The test results demonstrate that our implemented system is appropriate for unobtrusive respiratory signals acquisition and analysis; therefore, it can be considered a potential alternative for physiological monitoring and respiratory disorders screening.https://ieeexplore.ieee.org/document/8374029/Physiological monitoringwearable sensorsmedian filterangular velocityrespiratory phase |
| spellingShingle | Guo Dan Junhao Zhao Zihao Chen Huanyu Yang Zhemin Zhu A Novel Signal Acquisition System for Wearable Respiratory Monitoring IEEE Access Physiological monitoring wearable sensors median filter angular velocity respiratory phase |
| title | A Novel Signal Acquisition System for Wearable Respiratory Monitoring |
| title_full | A Novel Signal Acquisition System for Wearable Respiratory Monitoring |
| title_fullStr | A Novel Signal Acquisition System for Wearable Respiratory Monitoring |
| title_full_unstemmed | A Novel Signal Acquisition System for Wearable Respiratory Monitoring |
| title_short | A Novel Signal Acquisition System for Wearable Respiratory Monitoring |
| title_sort | novel signal acquisition system for wearable respiratory monitoring |
| topic | Physiological monitoring wearable sensors median filter angular velocity respiratory phase |
| url | https://ieeexplore.ieee.org/document/8374029/ |
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