Imperial College London

ProfessorDaniloMandic

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Professor of Machine Intelligence
 
 
 
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Contact

 

+44 (0)20 7594 6271d.mandic Website

 
 
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Assistant

 

Miss Vanessa Rodriguez-Gonzalez +44 (0)20 7594 6267

 
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Location

 

813Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Hammour:2023:10.1109/EMBC40787.2023.10340253,
author = {Hammour, G and Atzori, G and Monica, CD and Ravindran, KKG and Revell, V and Dijk, D-J and Mandic, DP},
doi = {10.1109/EMBC40787.2023.10340253},
journal = {Annu Int Conf IEEE Eng Med Biol Soc},
pages = {1--4},
title = {Hearables: Automatic Sleep Scoring from Single-Channel Ear-EEG in Older Adults.},
url = {http://dx.doi.org/10.1109/EMBC40787.2023.10340253},
volume = {2023},
year = {2023}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Sleep disorders are a prevalent problem among older adults, yet obtaining an accurate and reliable assessment of sleep quality can be challenging. Traditional polysomnography (PSG) is the gold standard for sleep staging, but is obtrusive, expensive, and requires expert assistance. To this end, we propose a minimally invasive single-channel single ear-EEG automatic sleep staging method for older adults. The method employs features from the frequency, time, and structural complexity domains, which provide a robust classification of sleep stages from a standardised viscoelastic earpiece. Our method is verified on a dataset of older adults and achieves a kappa value of at least 0.61, indicating substantial agreement. This paves the way for a non-invasive, cost-effective, and portable alternative to traditional PSG for sleep staging.
AU - Hammour,G
AU - Atzori,G
AU - Monica,CD
AU - Ravindran,KKG
AU - Revell,V
AU - Dijk,D-J
AU - Mandic,DP
DO - 10.1109/EMBC40787.2023.10340253
EP - 4
PY - 2023///
SP - 1
TI - Hearables: Automatic Sleep Scoring from Single-Channel Ear-EEG in Older Adults.
T2 - Annu Int Conf IEEE Eng Med Biol Soc
UR - http://dx.doi.org/10.1109/EMBC40787.2023.10340253
UR - https://www.ncbi.nlm.nih.gov/pubmed/38083340
VL - 2023
ER -