Development of a real‐time adaptive delta compression algorithm for photoplethysmography system
Photoplethysmography (PPG) is a simple and low‐cost optical technique that measures the blood volume change of the microvascular bed. The multichannel PPG recording system enables researchers to study the characteristics of the PPG signal from multiple body sites. Long‐time, continuous PPG signal mo...
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| Veröffentlicht in: | IEEJ transactions on electrical and electronic engineering Jg. 13; H. 10; S. 1454 - 1460 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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Hoboken, USA
John Wiley & Sons, Inc
01.10.2018
Wiley Subscription Services, Inc |
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| ISSN: | 1931-4973, 1931-4981 |
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| Abstract | Photoplethysmography (PPG) is a simple and low‐cost optical technique that measures the blood volume change of the microvascular bed. The multichannel PPG recording system enables researchers to study the characteristics of the PPG signal from multiple body sites. Long‐time, continuous PPG signal monitoring helps doctors in medical diagnosis and treatment. However, the development of the PPG signal acquisition system is limited by storage capacity and computational and hardware capability. Limitation in storage capacity and communication efficiency can be addressed by introducing data compression algorithms. In this paper, a single‐channel, high‐resolution (24‐bit) wireless PPG data acquisition system using Bluetooth connectivity with the adaptive delta compression algorithm is presented. A graphical user interface was developed using MATLAB to interface with the system using a serial port profile. The PPG signals were decompressed and stored in the local hard drive for future analysis. The performance of adaptive data compression algorithm was evaluated with 12 healthy subjects. Results show that the compression ratio achieved is 41.5. The mean percentile root‐mean‐square (RMS) difference at the sampling frequency of 100 Hz is 0.13%. The mean normalized percentile RMS difference value is 9.78%. The system was successfully tested in a continuous acquisition mode for up to 60 min. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc. |
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| AbstractList | Photoplethysmography (PPG) is a simple and low‐cost optical technique that measures the blood volume change of the microvascular bed. The multichannel PPG recording system enables researchers to study the characteristics of the PPG signal from multiple body sites. Long‐time, continuous PPG signal monitoring helps doctors in medical diagnosis and treatment. However, the development of the PPG signal acquisition system is limited by storage capacity and computational and hardware capability. Limitation in storage capacity and communication efficiency can be addressed by introducing data compression algorithms. In this paper, a single‐channel, high‐resolution (24‐bit) wireless PPG data acquisition system using Bluetooth connectivity with the adaptive delta compression algorithm is presented. A graphical user interface was developed using MATLAB to interface with the system using a serial port profile. The PPG signals were decompressed and stored in the local hard drive for future analysis. The performance of adaptive data compression algorithm was evaluated with 12 healthy subjects. Results show that the compression ratio achieved is 41.5. The mean percentile root‐mean‐square (RMS) difference at the sampling frequency of 100 Hz is 0.13%. The mean normalized percentile RMS difference value is 9.78%. The system was successfully tested in a continuous acquisition mode for up to 60 min. © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc. |
| Author | Gan, Kok Beng Chong, Kim Soon Zahedi, Edmond |
| Author_xml | – sequence: 1 givenname: Kim Soon surname: Chong fullname: Chong, Kim Soon organization: Universiti Kebangsaan Malaysia – sequence: 2 givenname: Kok Beng surname: Gan fullname: Gan, Kok Beng email: gankokbeng@ukm.edu.my organization: Universiti Kebangsaan Malaysia – sequence: 3 givenname: Edmond surname: Zahedi fullname: Zahedi, Edmond organization: Willingdon Avenue Burnaby |
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| Cites_doi | 10.1080/03091900701781317 10.1109/TBME.2014.2318779 10.1109/TIM.2014.2362837 10.1213/01.ane.0000269512.82836.c9 10.1152/ajplegacy.1938.124.2.328 10.3181/00379727-37-9630 10.1109/ICC.2016.7511599 10.1109/ICCE.2015.7066423 10.1109/IWSSIP.2016.7502766 10.1088/0967-3334/21/3/303 10.1109/ICSensT.2015.7438358 10.1253/circj.CJ-88-0020 10.1016/j.artmed.2011.05.001 10.1145/2370816.2370870 10.1109/BSN.2011.29 10.1016/j.bspc.2016.09.021 10.1016/j.irbm.2014.07.002 10.1145/2077546.2077556 10.1109/TIM.2008.2009136 10.1109/SPICES.2015.7091454 10.3109/03091902.2011.638965 10.1016/j.jvs.2004.11.023 10.1109/ISPTS.2012.6260873 10.1109/PIC.2014.6972419 10.1145/2746285.2755969 10.1109/IMTC.2008.4547026 10.1109/BioCAS.2013.6679687 10.1109/UKSim.2012.64 |
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| Copyright | 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc. Copyright © 2018 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc. |
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| SubjectTerms | Adaptive algorithms adaptive delta data compression Adaptive systems Algorithms Blood volume Bluetooth Compression ratio Compression tests Data compression Graphical user interface Photoplethysmograph (PPG) Physicians Recording Signal monitoring Storage capacity Time compression |
| Title | Development of a real‐time adaptive delta compression algorithm for photoplethysmography system |
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