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Modeling of the photoplethysmogram during atrial fibrillation

Sološenko, Andrius; Petrėnas, Andrius; Marozas, Vaidotas and Sörnmo, Leif LU (2017) In Computers in Biology and Medicine 81. p.130-138
Abstract

A phenomenological model for simulating the photoplethysmogram (PPG) during atrial fibrillation (AF) is proposed. The simulated PPG is solely based on RR interval information, and, therefore, any annotated ECG database can be used to model sinus rhythm, AF, or rhythms with premature beats. A PPG pulse is modeled by a linear combination of a log-normal and two Gaussian waveforms. The model PPG is obtained by placing individual pulses according to the RR intervals so that a connected signal is created. The model is evaluated on synchronously recorded ECG and PPG signals from the MIMIC and the University of Queensland Vital Signs Dataset databases. The results show that the model PPG signals closely resemble real signal for sinus rhythm,... (More)

A phenomenological model for simulating the photoplethysmogram (PPG) during atrial fibrillation (AF) is proposed. The simulated PPG is solely based on RR interval information, and, therefore, any annotated ECG database can be used to model sinus rhythm, AF, or rhythms with premature beats. A PPG pulse is modeled by a linear combination of a log-normal and two Gaussian waveforms. The model PPG is obtained by placing individual pulses according to the RR intervals so that a connected signal is created. The model is evaluated on synchronously recorded ECG and PPG signals from the MIMIC and the University of Queensland Vital Signs Dataset databases. The results show that the model PPG signals closely resemble real signal for sinus rhythm, premature beats, as well as for AF. The model is used to study the performance of a low-complexity RR interval-based AF detector on simulated PPG signals with five different pulse types generated using the MIT–BIH AF database at signal-to-noise ratios (SNRs) from 0 to 30 dB. PPGs composed of pulses with a dicrotic notch tend to increase the rate of false alarms, especially at lower SNRs. The model is capable of generating simulated PPG signals from RR interval series with sinus rhythm, AF, and premature beats. Considering the lack of annotated, public PPG databases with arrhythmias, the simulation of realistic PPG signals based on annotated ECG signals is expected to facilitate the development and testing of PPG-specific AF detectors.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Arrhythmia, Detection, PPG simulation model
in
Computers in Biology and Medicine
volume
81
pages
9 pages
publisher
Elsevier
external identifiers
  • scopus:85007586945
  • wos:000393629200013
ISSN
0010-4825
DOI
10.1016/j.compbiomed.2016.12.016
language
English
LU publication?
yes
id
e9207fd1-cb5d-4405-b3a3-a44c0e7b932d
date added to LUP
2017-01-23 08:56:47
date last changed
2018-04-22 04:25:46
@article{e9207fd1-cb5d-4405-b3a3-a44c0e7b932d,
  abstract     = {<p>A phenomenological model for simulating the photoplethysmogram (PPG) during atrial fibrillation (AF) is proposed. The simulated PPG is solely based on RR interval information, and, therefore, any annotated ECG database can be used to model sinus rhythm, AF, or rhythms with premature beats. A PPG pulse is modeled by a linear combination of a log-normal and two Gaussian waveforms. The model PPG is obtained by placing individual pulses according to the RR intervals so that a connected signal is created. The model is evaluated on synchronously recorded ECG and PPG signals from the MIMIC and the University of Queensland Vital Signs Dataset databases. The results show that the model PPG signals closely resemble real signal for sinus rhythm, premature beats, as well as for AF. The model is used to study the performance of a low-complexity RR interval-based AF detector on simulated PPG signals with five different pulse types generated using the MIT–BIH AF database at signal-to-noise ratios (SNRs) from 0 to 30 dB. PPGs composed of pulses with a dicrotic notch tend to increase the rate of false alarms, especially at lower SNRs. The model is capable of generating simulated PPG signals from RR interval series with sinus rhythm, AF, and premature beats. Considering the lack of annotated, public PPG databases with arrhythmias, the simulation of realistic PPG signals based on annotated ECG signals is expected to facilitate the development and testing of PPG-specific AF detectors.</p>},
  author       = {Sološenko, Andrius and Petrėnas, Andrius and Marozas, Vaidotas and Sörnmo, Leif},
  issn         = {0010-4825},
  keyword      = {Arrhythmia,Detection,PPG simulation model},
  language     = {eng},
  month        = {02},
  pages        = {130--138},
  publisher    = {Elsevier},
  series       = {Computers in Biology and Medicine},
  title        = {Modeling of the photoplethysmogram during atrial fibrillation},
  url          = {http://dx.doi.org/10.1016/j.compbiomed.2016.12.016},
  volume       = {81},
  year         = {2017},
}