Ectopic Beat Detection from Wrist Optical Signals for Sinus Rhythm and Atrial Fibrillation Subjects

Serj Haddad; Jarkko Harju; Adrian Tarniceriu; Tuomas Halkola; Jakub Parak; Ilkka Korhonen; Arvi Yli-Hankala; Antti Vehkaoja

doi:10.1007/978-3-030-31635-8_18

Ectopic Beat Detection from Wrist Optical Signals for Sinus Rhythm and Atrial Fibrillation Subjects

Serj Haddad, Jarkko Harju, Adrian Tarniceriu, Tuomas Halkola, Jakub Parak, Ilkka Korhonen, Arvi Yli-Hankala, Antti Vehkaoja

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

3 Citations (Scopus)

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Abstract

Ectopic beats are abnormal cardiac beats originating from a location different than the sino-atrial node and therefore not being controlled by the autonomous nervous system. Thus, correct heart rate variability analysis inevitably requires accurate ectopic beat detection. Furthermore, an accurate ectopic beat detection is crucial to differentiate irregular cardiac rhythm due to different types of pathological arrhythmias from those caused by isolated ectopic beats. In this paper, we present an algorithm for ectopic beat detection based on wrist plethysmographic (PPG) signals. The proposed algorithm relies on analyzing the inter-beat patterns while considering the heart-rhythm condition: whether sinus rhythm (SR) or atrial fibrillation (AF). We monitor 29 patients recovering from surgery in the post-anesthesia care unit. During the recordings, 15 patients had SR and 14 patients had AF. The proposed ectopic beat detection algorithm achieves a sensitivity of and a specificity of 2.12.

Original language	English
Title of host publication	15th Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019 - Proceedings of MEDICON 2019
Editors	Jorge Henriques, Paulo de Carvalho, Nuno Neves
Publisher	Springer
Pages	150-158
Number of pages	9
ISBN (Print)	978-3-030-31634-1
DOIs	https://doi.org/10.1007/978-3-030-31635-8_18
Publication status	Published - 2020
Publication type	A4 Article in conference proceedings
Event	Mediterranean Conference on Medical and Biological Engineering and Computing - Duration: 1 Jan 2020 → …

Publication series

Name	IFMBE Proceedings
Volume	76
ISSN (Print)	1680-0737

Conference

Conference	Mediterranean Conference on Medical and Biological Engineering and Computing
Period	1/01/20 → …

Keywords

Atrial fibrillation
Ectopic beat detection
Heart rate variability
Photoplethysmography

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Publication forum level 1

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Ectopic_Beat_Detection_from_Wrist_Optical_Signals_for_Sinus_Rhythm_and_Atrial_Fibrillation_SubjectsAccepted author manuscript, 426 KB

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Haddad, S., Harju, J., Tarniceriu, A., Halkola, T., Parak, J., Korhonen, I., Yli-Hankala, A., & Vehkaoja, A. (2020). Ectopic Beat Detection from Wrist Optical Signals for Sinus Rhythm and Atrial Fibrillation Subjects. In J. Henriques, P. de Carvalho, & N. Neves (Eds.), 15th Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019 - Proceedings of MEDICON 2019 (pp. 150-158). (IFMBE Proceedings; Vol. 76). Springer. https://doi.org/10.1007/978-3-030-31635-8_18

Haddad, Serj ; Harju, Jarkko ; Tarniceriu, Adrian et al. / Ectopic Beat Detection from Wrist Optical Signals for Sinus Rhythm and Atrial Fibrillation Subjects. 15th Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019 - Proceedings of MEDICON 2019. editor / Jorge Henriques ; Paulo de Carvalho ; Nuno Neves. Springer, 2020. pp. 150-158 (IFMBE Proceedings).

@inproceedings{f2c27f72025043fc9a04926d4303af66,

title = "Ectopic Beat Detection from Wrist Optical Signals for Sinus Rhythm and Atrial Fibrillation Subjects",

abstract = "Ectopic beats are abnormal cardiac beats originating from a location different than the sino-atrial node and therefore not being controlled by the autonomous nervous system. Thus, correct heart rate variability analysis inevitably requires accurate ectopic beat detection. Furthermore, an accurate ectopic beat detection is crucial to differentiate irregular cardiac rhythm due to different types of pathological arrhythmias from those caused by isolated ectopic beats. In this paper, we present an algorithm for ectopic beat detection based on wrist plethysmographic (PPG) signals. The proposed algorithm relies on analyzing the inter-beat patterns while considering the heart-rhythm condition: whether sinus rhythm (SR) or atrial fibrillation (AF). We monitor 29 patients recovering from surgery in the post-anesthesia care unit. During the recordings, 15 patients had SR and 14 patients had AF. The proposed ectopic beat detection algorithm achieves a sensitivity of and a specificity of 2.12.",

keywords = "Atrial fibrillation, Ectopic beat detection, Heart rate variability, Photoplethysmography, Atrial fibrillation, Ectopic beat detection, Heart rate variability, Photoplethysmography",

author = "Serj Haddad and Jarkko Harju and Adrian Tarniceriu and Tuomas Halkola and Jakub Parak and Ilkka Korhonen and Arvi Yli-Hankala and Antti Vehkaoja",

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Haddad, S, Harju, J, Tarniceriu, A, Halkola, T, Parak, J, Korhonen, I, Yli-Hankala, A & Vehkaoja, A 2020, Ectopic Beat Detection from Wrist Optical Signals for Sinus Rhythm and Atrial Fibrillation Subjects. in J Henriques, P de Carvalho & N Neves (eds), 15th Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019 - Proceedings of MEDICON 2019. IFMBE Proceedings, vol. 76, Springer, pp. 150-158, Mediterranean Conference on Medical and Biological Engineering and Computing, 1/01/20. https://doi.org/10.1007/978-3-030-31635-8_18

Ectopic Beat Detection from Wrist Optical Signals for Sinus Rhythm and Atrial Fibrillation Subjects. / Haddad, Serj; Harju, Jarkko; Tarniceriu, Adrian et al.
15th Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019 - Proceedings of MEDICON 2019. ed. / Jorge Henriques; Paulo de Carvalho; Nuno Neves. Springer, 2020. p. 150-158 (IFMBE Proceedings; Vol. 76).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Ectopic Beat Detection from Wrist Optical Signals for Sinus Rhythm and Atrial Fibrillation Subjects

AU - Haddad, Serj

AU - Harju, Jarkko

AU - Tarniceriu, Adrian

AU - Halkola, Tuomas

AU - Parak, Jakub

AU - Korhonen, Ilkka

AU - Yli-Hankala, Arvi

AU - Vehkaoja, Antti

N1 - EXT="Parak, Jakub", dupl=51710603

PY - 2020

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N2 - Ectopic beats are abnormal cardiac beats originating from a location different than the sino-atrial node and therefore not being controlled by the autonomous nervous system. Thus, correct heart rate variability analysis inevitably requires accurate ectopic beat detection. Furthermore, an accurate ectopic beat detection is crucial to differentiate irregular cardiac rhythm due to different types of pathological arrhythmias from those caused by isolated ectopic beats. In this paper, we present an algorithm for ectopic beat detection based on wrist plethysmographic (PPG) signals. The proposed algorithm relies on analyzing the inter-beat patterns while considering the heart-rhythm condition: whether sinus rhythm (SR) or atrial fibrillation (AF). We monitor 29 patients recovering from surgery in the post-anesthesia care unit. During the recordings, 15 patients had SR and 14 patients had AF. The proposed ectopic beat detection algorithm achieves a sensitivity of and a specificity of 2.12.

AB - Ectopic beats are abnormal cardiac beats originating from a location different than the sino-atrial node and therefore not being controlled by the autonomous nervous system. Thus, correct heart rate variability analysis inevitably requires accurate ectopic beat detection. Furthermore, an accurate ectopic beat detection is crucial to differentiate irregular cardiac rhythm due to different types of pathological arrhythmias from those caused by isolated ectopic beats. In this paper, we present an algorithm for ectopic beat detection based on wrist plethysmographic (PPG) signals. The proposed algorithm relies on analyzing the inter-beat patterns while considering the heart-rhythm condition: whether sinus rhythm (SR) or atrial fibrillation (AF). We monitor 29 patients recovering from surgery in the post-anesthesia care unit. During the recordings, 15 patients had SR and 14 patients had AF. The proposed ectopic beat detection algorithm achieves a sensitivity of and a specificity of 2.12.

KW - Atrial fibrillation

KW - Ectopic beat detection

KW - Heart rate variability

KW - Photoplethysmography

KW - Atrial fibrillation

KW - Ectopic beat detection

KW - Heart rate variability

KW - Photoplethysmography

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M3 - Conference contribution

AN - SCOPUS:85075876200

SN - 978-3-030-31634-1

T3 - IFMBE Proceedings

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EP - 158

BT - 15th Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019 - Proceedings of MEDICON 2019

A2 - Henriques, Jorge

A2 - de Carvalho, Paulo

A2 - Neves, Nuno

PB - Springer

T2 - Mediterranean Conference on Medical and Biological Engineering and Computing

Y2 - 1 January 2020

ER -

Haddad S, Harju J, Tarniceriu A, Halkola T, Parak J, Korhonen I et al. Ectopic Beat Detection from Wrist Optical Signals for Sinus Rhythm and Atrial Fibrillation Subjects. In Henriques J, de Carvalho P, Neves N, editors, 15th Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019 - Proceedings of MEDICON 2019. Springer. 2020. p. 150-158. (IFMBE Proceedings). doi: 10.1007/978-3-030-31635-8_18

Ectopic Beat Detection from Wrist Optical Signals for Sinus Rhythm and Atrial Fibrillation Subjects

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