A smart helmet with embedded sensors demonstrated the feasibility of recording multichannel ECG, respiration, and EEG from face-lead locations during real-world activities.
Is it feasible to record vital signs (ECG, respiration) and EEG using a smart helmet with embedded face-lead sensors during real-world activities?
A smart helmet with embedded sensors can feasibly record ECG, respiration, and EEG during activities like cycling and walking, offering a novel approach for continuous vital sign monitoring.
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.
Rosenberg et al. (Fri,) reported a other. Smart helmet with embedded sensors vs. Standard chest ECG and respiration belt was evaluated on Feasibility of recording ECG, respiration, and EEG from face-lead locations. A smart helmet with embedded sensors demonstrated the feasibility of recording multichannel ECG, respiration, and EEG from face-lead locations during real-world activities.
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