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Validation of a Novel Wearable Multistream Data Acquisition and Analysis System for Ergonomic Studies

Authors :
Luca Ascari
Anna Marchenkova
Andrea Bellotti
Stefano Lai
Lucia Moro
Konstantin Koshmak
Alice Mantoan
Michele Barsotti
Raffaello Brondi
Giovanni Avveduto
Davide Sechi
Alberto Compagno
Pietro Avanzini
Jonas Ambeck-Madsen
Giovanni Vecchiato
Source :
Sensors, Vol 21, Iss 24, p 8167 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

Nowadays, the growing interest in gathering physiological data and human behavior in everyday life scenarios is paralleled by an increase in wireless devices recording brain and body signals. However, the technical issues that characterize these solutions often limit the full brain-related assessments in real-life scenarios. Here we introduce the Biohub platform, a hardware/software (HW/SW) integrated wearable system for multistream synchronized acquisitions. This system consists of off-the-shelf hardware and state-of-art open-source software components, which are highly integrated into a high-tech low-cost solution, complete, yet easy to use outside conventional labs. It flexibly cooperates with several devices, regardless of the manufacturer, and overcomes the possibly limited resources of recording devices. The Biohub was validated through the characterization of the quality of (i) multistream synchronization, (ii) in-lab electroencephalographic (EEG) recordings compared with a medical-grade high-density device, and (iii) a Brain-Computer-Interface (BCI) in a real driving condition. Results show that this system can reliably acquire multiple data streams with high time accuracy and record standard quality EEG signals, becoming a valid device to be used for advanced ergonomics studies such as driving, telerehabilitation, and occupational safety.

Details

Language :
English
ISSN :
14248220
Volume :
21
Issue :
24
Database :
Directory of Open Access Journals
Journal :
Sensors
Publication Type :
Academic Journal
Accession number :
edsdoj.17f6fe5988e44c80b7ce45707dea00d0
Document Type :
article
Full Text :
https://doi.org/10.3390/s21248167