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Respiratory rate estimation from multilead directions, based on ECG delineation

Noriega, M; Maranon, EJ; Romero, D; Orini, M; Almeida, R; (2016) Respiratory rate estimation from multilead directions, based on ECG delineation. In: Patton, J and Barbieri, R and Ji, J and Jabbari, E and Dokos, S and Mukkamala, R and Guiraud, D and Jovanov, E and Dhaher, Y and Panescu, D and Vangils, M and Wheeler, B and Dhawan, AP, (eds.) 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). (pp. pp. 3813-3816). IEEE Green open access

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Abstract

Estimating the instantaneous respiratory rate (Rr) from the electrocardiogram (ECG) is of interest as respiration direct measurement in clinical situations is often cumbersome. In this study, the Rr was estimated from the same Final Directions of maximum projection (FD) used for multi lead ECG automatic delineation. Power spectral analysis over the directions based on QRS complex main peak and T wave onset, peak and end spatial loops was used for Rr estimation. On a subset of the Physionet MGH/MF dataset, the proposed method yielded more accurate Rr estimates (minimum mean absolute error (MAE), 2.82 bpm) than the frequency tracking algorithm (minimum MAE, 4.53 bpm) and Fourier-based frequency estimation (minimum MAE, 4.94 bpm) using each lead alone, outperforming also the weighted multi-signal oscillator-based algorithm estimates for two or three lead (minimum MAE, 3.04 bpm). It was also shown that the FD of the three orthogonalized leads from Principal Component algorithm, improve the performance of Rr estimation.

Type: Proceedings paper
Title: Respiratory rate estimation from multilead directions, based on ECG delineation
Event: 38th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC)
Location: Orlando, FL
Dates: 16 August 2016 - 20 August 2016
ISBN-13: 978-1-4577-0220-4
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/EMBC.2016.7591559
Publisher version: https://doi.org/10.1109/EMBC.2016.7591559
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Pop Health Sciences > Institute of Cardiovascular Science
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Pop Health Sciences > Institute of Cardiovascular Science > Clinical Science
URI: https://discovery.ucl.ac.uk/id/eprint/10061693
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