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Citation
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HERO ID
7087414
Reference Type
Journal Article
Title
The Thirteenth Joint MMM/Intermag Conference 2016
Author(s)
von Rosenberg, W; Chanwimalueang, T; Goverdovsky, V; Looney, D; Sharp, D; Mandic, DP; ,
Year
2016
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Location
PISCATAWAY
PMID
27957405
DOI
10.1109/JTEHM.2016.2609927
Web of Science Id
WOS:000389333100001
Abstract
Modern wearable technologies have enabled continuous recording of vital signs, however, for activities such as cycling, motor-racing, or military engagement, a helmet with embedded sensors would provide maximum convenience and the opportunity to monitor simultaneously both the vital signs and the electroencephalogram (EEG). To this end, we investigate the feasibility of recording the electrocardiogram (ECG), respiration, and EEG from face-lead locations, by embedding multiple electrodes within a standard helmet. The electrode positions are at the lower jaw, mastoids, and forehead, while for validation purposes a respiration belt around the thorax and a reference ECG from the chest serve as ground truth to assess the performance. The within-helmet EEG is verified by exposing the subjects to periodic visual and auditory stimuli and screening the recordings for the steady-state evoked potentials in response to these stimuli. Cycling and walking are chosen as real-world activities to illustrate how to deal with the so-induced irregular motion artifacts, which contaminate the recordings. We also propose a multivariate R-peak detection algorithm suitable for such noisy environments. Recordings in real-world scenarios support a proof of concept of the feasibility of recording vital signs and EEG from the proposed smart helmet.
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