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Content Provider | IET Digital Library |
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Author | Jarchi, Delaram Charlton, Peter Pimentel, Marco Casson, Alex Tarassenko, Lionel Clifton, David A. |
Abstract | Estimation of respiratory rate (RR) from photoplethysmography (PPG) signals has important applications in the healthcare sector, from assisting doctors onwards to monitoring patients in their own homes. The problem is still very challenging, particularly during the motion for large segments of data, where results from different methods often do not agree. The authors aim to propose a new technique which performs motion reduction from PPG signals with the help of simultaneous acceleration signals where the PPG and accelerometer sensors need to be embedded in the same sensor unit. This method also reconstructs motion corrupted PPG signals in the Hilbert domain. An auto-regressive (AR) based technique has been used to estimate the RR from reconstructed PPGs. The proposed method has provided promising results for the estimation of RRs and their variations from PPG signals corrupted with motion artefact. The proposed platform is able to contribute to continuous in-hospital and home-based monitoring of patients using PPG signals under various conditions such as rest and motion states. |
Starting Page | 19 |
Ending Page | 26 |
Page Count | 8 |
Volume Number | 6 |
e-ISSN | 20533713 |
Issue Number | Issue 1, Feb (2019) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/htl/6/1 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/htl.2018.5019 |
Journal | Healthcare Technology Letters |
Publisher | The Institution of Engineering and Technology |
Publisher Date | 2019-02-21 |
Access Restriction | Open |
Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
Subject Keyword | Acceleration Accelerometer Accelerometer Sensor Accelerometry Autoregressive Based Technique Biology And Medical Computing Biomedical Imaging/measurement Digital Signal Processing Haemodynamics Healthcare Hilbert Domain Home-based Monitoring Medical Signal Processing Motion Artefact Motion Contaminated Photoplethysmography Signal Motion Corrupted PPG Signal Motion Reduction Motion State Optical And Laser Radiation Patient Diagnostic Method And Instrumentation Patient Monitoring Photoplethysmography Pneumodynamics PPG Signal Reconstructed PPGs Respiratory Rate Rest State Rotation Measurement Sensing Device And Transducers Signal Processing And Detection Simultaneous Acceleration Signal Velocity |
Content Type | Text |
Resource Type | Article |
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