Real-time approach to hrv analysis

Guilherme Ramos; Miquel Alfaras; Hugo Gamboa

Real-time approach to hrv analysis

Guilherme Ramos, Miquel Alfaras, Hugo Gamboa

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

Abstract

In this paper, we present the assessment of heart rate variability (HRV) applied to real-time processing of electrocardiographic (ECG) signals. A general approach for R-peak detection is described based on the computational implementation of Pan and Tompkins algorithm, used in the offline version. Besides feature extraction (from temporal and frequency domain), the paper presents the development steps taken towards online real-time biosignal processing. The functional basis of the online approach consists in the implementation of a simple adaptive double-threshold algorithm for peak detection and a sliding window mechanism along acquisition that provides a dynamically generated tachogram for the features to be successively extracted, highlighting the new application opportunities for continuous observation of HRV parameters.

Original language	English
Title of host publication	BIOSIGNALS 2018 - 11th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018
Editors	Hugo Gamboa, Sergi Bermudez i Badia, Giovanni Saggio, Ana Fred
Publisher	SciTePress - Science and Technology Publications
Pages	208-215
Number of pages	8
Volume	4
ISBN (Electronic)	9789897582790
Publication status	Published - 1 Jan 2018
Event	11th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2018 - Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018 - Funchal, Madeira, Portugal Duration: 19 Jan 2018 → 21 Jan 2018

Conference

Conference	11th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2018 - Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018
Country/Territory	Portugal
City	Funchal, Madeira
Period	19/01/18 → 21/01/18

Keywords

Biomedical Signal Processing
HRV Analysis
Real-Time Processing
Sliding Window

Cite this

Ramos, G., Alfaras, M., & Gamboa, H. (2018). Real-time approach to hrv analysis. In H. Gamboa, S. Bermudez i Badia, G. Saggio, & A. Fred (Eds.), BIOSIGNALS 2018 - 11th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018 (Vol. 4, pp. 208-215). SciTePress - Science and Technology Publications.

Ramos, Guilherme ; Alfaras, Miquel ; Gamboa, Hugo. / Real-time approach to hrv analysis. BIOSIGNALS 2018 - 11th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018. editor / Hugo Gamboa ; Sergi Bermudez i Badia ; Giovanni Saggio ; Ana Fred. Vol. 4 SciTePress - Science and Technology Publications, 2018. pp. 208-215

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title = "Real-time approach to hrv analysis",

abstract = "In this paper, we present the assessment of heart rate variability (HRV) applied to real-time processing of electrocardiographic (ECG) signals. A general approach for R-peak detection is described based on the computational implementation of Pan and Tompkins algorithm, used in the offline version. Besides feature extraction (from temporal and frequency domain), the paper presents the development steps taken towards online real-time biosignal processing. The functional basis of the online approach consists in the implementation of a simple adaptive double-threshold algorithm for peak detection and a sliding window mechanism along acquisition that provides a dynamically generated tachogram for the features to be successively extracted, highlighting the new application opportunities for continuous observation of HRV parameters.",

keywords = "Biomedical Signal Processing, HRV Analysis, Real-Time Processing, Sliding Window",

author = "Guilherme Ramos and Miquel Alfaras and Hugo Gamboa",

note = "info:eu-repo/grantAgreement/EC/H2020/722022/EU# The authors acknowledge the support received from ITN AffecTech under the Marie Sk{\l}odowska Curie Actions (ERC H2020 Project ID: 722022).; 11th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2018 - Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018 ; Conference date: 19-01-2018 Through 21-01-2018",

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editor = "Hugo Gamboa and {Bermudez i Badia}, Sergi and Giovanni Saggio and Ana Fred",

booktitle = "BIOSIGNALS 2018 - 11th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018",

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Ramos, G, Alfaras, M & Gamboa, H 2018, Real-time approach to hrv analysis. in H Gamboa, S Bermudez i Badia, G Saggio & A Fred (eds), BIOSIGNALS 2018 - 11th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018. vol. 4, SciTePress - Science and Technology Publications, pp. 208-215, 11th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2018 - Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018, Funchal, Madeira, Portugal, 19/01/18.

Real-time approach to hrv analysis. / Ramos, Guilherme; Alfaras, Miquel; Gamboa, Hugo.
BIOSIGNALS 2018 - 11th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018. ed. / Hugo Gamboa; Sergi Bermudez i Badia; Giovanni Saggio; Ana Fred. Vol. 4 SciTePress - Science and Technology Publications, 2018. p. 208-215.

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

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T1 - Real-time approach to hrv analysis

AU - Ramos, Guilherme

AU - Alfaras, Miquel

AU - Gamboa, Hugo

N1 - info:eu-repo/grantAgreement/EC/H2020/722022/EU# The authors acknowledge the support received from ITN AffecTech under the Marie Skłodowska Curie Actions (ERC H2020 Project ID: 722022).

PY - 2018/1/1

Y1 - 2018/1/1

N2 - In this paper, we present the assessment of heart rate variability (HRV) applied to real-time processing of electrocardiographic (ECG) signals. A general approach for R-peak detection is described based on the computational implementation of Pan and Tompkins algorithm, used in the offline version. Besides feature extraction (from temporal and frequency domain), the paper presents the development steps taken towards online real-time biosignal processing. The functional basis of the online approach consists in the implementation of a simple adaptive double-threshold algorithm for peak detection and a sliding window mechanism along acquisition that provides a dynamically generated tachogram for the features to be successively extracted, highlighting the new application opportunities for continuous observation of HRV parameters.

AB - In this paper, we present the assessment of heart rate variability (HRV) applied to real-time processing of electrocardiographic (ECG) signals. A general approach for R-peak detection is described based on the computational implementation of Pan and Tompkins algorithm, used in the offline version. Besides feature extraction (from temporal and frequency domain), the paper presents the development steps taken towards online real-time biosignal processing. The functional basis of the online approach consists in the implementation of a simple adaptive double-threshold algorithm for peak detection and a sliding window mechanism along acquisition that provides a dynamically generated tachogram for the features to be successively extracted, highlighting the new application opportunities for continuous observation of HRV parameters.

KW - Biomedical Signal Processing

KW - HRV Analysis

KW - Real-Time Processing

KW - Sliding Window

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M3 - Conference contribution

AN - SCOPUS:85051744939

VL - 4

SP - 208

EP - 215

BT - BIOSIGNALS 2018 - 11th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018

A2 - Gamboa, Hugo

A2 - Bermudez i Badia, Sergi

A2 - Saggio, Giovanni

A2 - Fred, Ana

PB - SciTePress - Science and Technology Publications

T2 - 11th International Conference on Bio-Inspired Systems and Signal Processing, BIOSIGNALS 2018 - Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018

Y2 - 19 January 2018 through 21 January 2018

ER -

Ramos G, Alfaras M, Gamboa H. Real-time approach to hrv analysis. In Gamboa H, Bermudez i Badia S, Saggio G, Fred A, editors, BIOSIGNALS 2018 - 11th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018. Vol. 4. SciTePress - Science and Technology Publications. 2018. p. 208-215

Real-time approach to hrv analysis

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