Heart rate variability and the acceleration plethysmogram signals measured at rest

Mohamed Elgendi; Mirjam Jonkman; Friso De Boer

doi:10.1007/978-3-642-18472-7_21

Heart rate variability and the acceleration plethysmogram signals measured at rest

Mohamed Elgendi, Mirjam Jonkman, Friso De Boer

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

21 Citations (Scopus)

Abstract

It is well-known that the electrocardiogram (ECG) is a non-invasive method that can be used to measure heart rate variability (HRV). Photoplethysmogram (PPG) signals also reflect the cardiac rhythm since the mechanical activity of the heart is coupled to its electrical activity. Photoplethysmography is a non-invasive, safe, and easy-to-use technique that has been developed for experimental use in vascular disease. A useful algorithm for a-wave detection in the acceleration plethysmogram (APG, the second derivative of the PPG) is introduced to determine the interval between successive heartbeats and heart rate variability. In this study, finger-tip PPG signals were recorded for twenty seconds from 27 healthy subjects measured at rest. The use of the aa interval in APG signals showed very promising results in calculating the HRV statistical indices, SDNN and rMSSD.

Original language	English
Title of host publication	International Joint Conference on Biomedical Engineering Systems and Technologies
Subtitle of host publication	BIOSTEC 2010
Editors	A. Fred , J. Filipe , H. Gamboa
Place of Publication	Berlin, Heidelberg
Publisher	Springer Heidelberg
Pages	266-277
Number of pages	12
Volume	127
ISBN (Electronic)	978-3-642-18472-7
ISBN (Print)	978-3-642-18471-0
DOIs	https://doi.org/10.1007/978-3-642-18472-7_21
Publication status	Published - 2011
Event	International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2010 3rd) - Valencia, Spain Duration: 20 Jan 2010 → 23 Jan 2010 Conference number: 2010 3rd

Publication series

Name	Communications in Computer and Information Science
Publisher	Springer
Volume	127
ISSN (Print)	1865-0929

Conference

Conference	International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2010 3rd)
Abbreviated title	BIOSTEC
Country/Territory	Spain
City	Valencia
Period	20/01/10 → 23/01/10

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10.1007/978-3-642-18472-7_21

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Elgendi, M., Jonkman, M., & De Boer, F. (2011). Heart rate variability and the acceleration plethysmogram signals measured at rest. In A. Fred , J. Filipe , & H. Gamboa (Eds.), International Joint Conference on Biomedical Engineering Systems and Technologies: BIOSTEC 2010 (Vol. 127 , pp. 266-277). (Communications in Computer and Information Science; Vol. 127 ). Springer Heidelberg. https://doi.org/10.1007/978-3-642-18472-7_21

Elgendi, Mohamed ; Jonkman, Mirjam ; De Boer, Friso. / Heart rate variability and the acceleration plethysmogram signals measured at rest. International Joint Conference on Biomedical Engineering Systems and Technologies: BIOSTEC 2010. editor / A. Fred ; J. Filipe ; H. Gamboa . Vol. 127 Berlin, Heidelberg : Springer Heidelberg, 2011. pp. 266-277 (Communications in Computer and Information Science).

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abstract = "It is well-known that the electrocardiogram (ECG) is a non-invasive method that can be used to measure heart rate variability (HRV). Photoplethysmogram (PPG) signals also reflect the cardiac rhythm since the mechanical activity of the heart is coupled to its electrical activity. Photoplethysmography is a non-invasive, safe, and easy-to-use technique that has been developed for experimental use in vascular disease. A useful algorithm for a-wave detection in the acceleration plethysmogram (APG, the second derivative of the PPG) is introduced to determine the interval between successive heartbeats and heart rate variability. In this study, finger-tip PPG signals were recorded for twenty seconds from 27 healthy subjects measured at rest. The use of the aa interval in APG signals showed very promising results in calculating the HRV statistical indices, SDNN and rMSSD.",

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Elgendi, M, Jonkman, M & De Boer, F 2011, Heart rate variability and the acceleration plethysmogram signals measured at rest. in A Fred , J Filipe & H Gamboa (eds), International Joint Conference on Biomedical Engineering Systems and Technologies: BIOSTEC 2010. vol. 127 , Communications in Computer and Information Science, vol. 127 , Springer Heidelberg, Berlin, Heidelberg, pp. 266-277, International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2010 3rd), Valencia, Spain, 20/01/10. https://doi.org/10.1007/978-3-642-18472-7_21

Heart rate variability and the acceleration plethysmogram signals measured at rest. / Elgendi, Mohamed; Jonkman, Mirjam ; De Boer, Friso.
International Joint Conference on Biomedical Engineering Systems and Technologies: BIOSTEC 2010. ed. / A. Fred ; J. Filipe ; H. Gamboa . Vol. 127 Berlin, Heidelberg: Springer Heidelberg, 2011. p. 266-277 (Communications in Computer and Information Science; Vol. 127 ).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper published in Proceedings › peer-review

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Y1 - 2011

N2 - It is well-known that the electrocardiogram (ECG) is a non-invasive method that can be used to measure heart rate variability (HRV). Photoplethysmogram (PPG) signals also reflect the cardiac rhythm since the mechanical activity of the heart is coupled to its electrical activity. Photoplethysmography is a non-invasive, safe, and easy-to-use technique that has been developed for experimental use in vascular disease. A useful algorithm for a-wave detection in the acceleration plethysmogram (APG, the second derivative of the PPG) is introduced to determine the interval between successive heartbeats and heart rate variability. In this study, finger-tip PPG signals were recorded for twenty seconds from 27 healthy subjects measured at rest. The use of the aa interval in APG signals showed very promising results in calculating the HRV statistical indices, SDNN and rMSSD.

AB - It is well-known that the electrocardiogram (ECG) is a non-invasive method that can be used to measure heart rate variability (HRV). Photoplethysmogram (PPG) signals also reflect the cardiac rhythm since the mechanical activity of the heart is coupled to its electrical activity. Photoplethysmography is a non-invasive, safe, and easy-to-use technique that has been developed for experimental use in vascular disease. A useful algorithm for a-wave detection in the acceleration plethysmogram (APG, the second derivative of the PPG) is introduced to determine the interval between successive heartbeats and heart rate variability. In this study, finger-tip PPG signals were recorded for twenty seconds from 27 healthy subjects measured at rest. The use of the aa interval in APG signals showed very promising results in calculating the HRV statistical indices, SDNN and rMSSD.

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Elgendi M, Jonkman M , De Boer F. Heart rate variability and the acceleration plethysmogram signals measured at rest. In Fred A, Filipe J, Gamboa H, editors, International Joint Conference on Biomedical Engineering Systems and Technologies: BIOSTEC 2010. Vol. 127 . Berlin, Heidelberg: Springer Heidelberg. 2011. p. 266-277. (Communications in Computer and Information Science). doi: 10.1007/978-3-642-18472-7_21

Heart rate variability and the acceleration plethysmogram signals measured at rest

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