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Deep learning-based method for the continuous detection of heart rate in signals from a multi-fiber Bragg grating sensor compatible with magnetic resonance imaging

Authors :
Mariusz Krej
Alicja Anuszkiewicz
Krzysztof Matuk
L. Dziuda
Eugeniusz Tarasow
Tomasz Osuch
Andrzej Weigl
Stanislaw Stopinski
Krzysztof Anders
Ryszard Piramidowicz
Source :
Biomed Opt Express
Publication Year :
2021
Publisher :
Optica Publishing Group, 2021.

Abstract

A method for the continuous detection of heart rate (HR) in signals acquired from patients using a sensor mat comprising a nine-element array of fiber Bragg gratings during routine magnetic resonance imaging (MRI) procedures is proposed. The method is based on a deep learning neural network model, which learned from signals acquired from 153 MRI patients. In addition, signals from 343 MRI patients were used for result verification. The proposed method provides automatic continuous extraction of HR with the root mean square error of 2.67 bpm, and the limits of agreement were -4.98–5.45 bpm relative to the reference HR.

Details

ISSN :
21567085
Volume :
12
Database :
OpenAIRE
Journal :
Biomedical Optics Express
Accession number :
edsair.doi.dedup.....614e3c5f3c49dc2c82f2fe37c47c8fb8