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Journal of Biomedical Optics; PolyPublie
Other literature type . Article . 2019 . Peer-reviewed
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Journal of Biomedical Optics
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fNIRS improves seizure detection in multimodal EEG-fNIRS recordings

Authors: Parikshat Sirpal; Ali Kassab; Philippe Pouliot; Dang Khoa Nguyen; Frédéric Lesage;

fNIRS improves seizure detection in multimodal EEG-fNIRS recordings

Abstract

Abstract. In the context of epilepsy monitoring, electroencephalography (EEG) remains the modality of choice. Functional near-infrared spectroscopy (fNIRS) is a relatively innovative modality that cannot only characterize hemodynamic profiles of seizures but also allow for long-term recordings. We employ deep learning methods to investigate the benefits of integrating fNIRS measures for seizure detection. We designed a deep recurrent neural network with long short-term memory units and subsequently validated it using the CHBMIT scalp EEG database—a compendium of 896 h of surface EEG seizure recordings. After validating our network using EEG, fNIRS, and multimodal data comprising a corpus of 89 seizures from 40 refractory epileptic patients was used as model input to evaluate the integration of fNIRS measures. Following heuristic hyperparameter optimization, multimodal EEG-fNIRS data provide superior performance metrics (sensitivity and specificity of 89.7% and 95.5%, respectively) in a seizure detection task, with low generalization errors and loss. False detection rates are generally low, with 11.8% and 5.6% for EEG and multimodal data, respectively. Employing multimodal neuroimaging, particularly EEG-fNIRS, in epileptic patients, can enhance seizure detection performance. Furthermore, the neural network model proposed and characterized herein offers a promising framework for future multimodal investigations in seizure detection and prediction.

Country
Canada
Subjects by Vocabulary

Microsoft Academic Graph classification: Computer science Electroencephalography Epilepsy Artificial neural network medicine.diagnostic_test Context (language use) Neuroimaging medicine Modality (human–computer interaction) business.industry Deep learning Pattern recognition medicine.disease Recurrent neural network Artificial intelligence business

Keywords

Male, Databases, Factual, *electroencephalography-functional near-infrared spectroscopy, seizure detection, *deep neural networks, Diagnosis, Computer-Assisted, Brain Mapping, Spectroscopy, Near-Infrared, functional brain imaging, Electroencephalography, Signal Processing, Computer-Assisted, Middle Aged, *epilepsy, Atomic and Molecular Physics, and Optics, Electronic, Optical and Magnetic Materials, Memory, Short-Term, deep neural networks, Female, Algorithms, Paper, Adult, Adolescent, Biomedical Engineering, *seizure detection, Biomaterials, Young Adult, Seizures, Humans, False Positive Reactions, Aged, Hemodynamics, Reproducibility of Results, Special Section on Metabolic Imaging and Spectroscopy: Britton Chance 105th Birthday Commemorative, electroencephalography-functional near-infrared spectroscopy, epilepsy, Neural Networks, Computer, *functional brain imaging

40 references, page 1 of 4

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  • citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    28
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
    Powered byBIP!BIP!
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Top 10%
Average
Top 10%
Green
gold
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  • Funder: Natural Sciences and Engineering Research Council of Canada (NSERC)
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