title: Smart Helmet: Wearable Multichannel ECG and EEG.
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.
authors.affiliation: Imperial College London London SW7 2AZ U.K.
authors.forename: Wilhelm
authors.initials: W
authors.lastname: Von Rosenberg
authors.affiliation: Imperial College London London SW7 2AZ U.K.
authors.forename: Theerasak
authors.initials: T
authors.lastname: Chanwimalueang
authors.affiliation: Imperial College London London SW7 2AZ U.K.
authors.forename: Valentin
authors.initials: V
authors.lastname: Goverdovsky
authors.affiliation: Imperial College London London SW7 2AZ U.K.
authors.forename: David
authors.initials: D
authors.lastname: Looney
authors.affiliation: Imperial College London London SW7 2AZ U.K.
authors.forename: David
authors.initials: D
authors.lastname: Sharp
authors.affiliation: Imperial College London London SW7 2AZ U.K.
authors.forename: Danilo P
authors.initials: DP
authors.lastname: Mandic
keywords: Multichannel R-peak detection; QRS complex; vital signs; wearable ECG; wearable EEG