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

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 assessmen...

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Autores principales: Ascari, Luca, Marchenkova, Anna, Bellotti, Andrea, Lai, Stefano, Moro, Lucia, Koshmak, Konstantin, Mantoan, Alice, Barsotti, Michele, Brondi, Raffaello, Avveduto, Giovanni, Sechi, Davide, Compagno, Alberto, Avanzini, Pietro, Ambeck-Madsen, Jonas, Vecchiato, Giovanni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8707223/
https://www.ncbi.nlm.nih.gov/pubmed/34960261
http://dx.doi.org/10.3390/s21248167
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author Ascari, Luca
Marchenkova, Anna
Bellotti, Andrea
Lai, Stefano
Moro, Lucia
Koshmak, Konstantin
Mantoan, Alice
Barsotti, Michele
Brondi, Raffaello
Avveduto, Giovanni
Sechi, Davide
Compagno, Alberto
Avanzini, Pietro
Ambeck-Madsen, Jonas
Vecchiato, Giovanni
author_facet Ascari, Luca
Marchenkova, Anna
Bellotti, Andrea
Lai, Stefano
Moro, Lucia
Koshmak, Konstantin
Mantoan, Alice
Barsotti, Michele
Brondi, Raffaello
Avveduto, Giovanni
Sechi, Davide
Compagno, Alberto
Avanzini, Pietro
Ambeck-Madsen, Jonas
Vecchiato, Giovanni
author_sort Ascari, Luca
collection PubMed
description 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.
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spelling pubmed-87072232021-12-25 Validation of a Novel Wearable Multistream Data Acquisition and Analysis System for Ergonomic Studies Ascari, Luca Marchenkova, Anna Bellotti, Andrea Lai, Stefano Moro, Lucia Koshmak, Konstantin Mantoan, Alice Barsotti, Michele Brondi, Raffaello Avveduto, Giovanni Sechi, Davide Compagno, Alberto Avanzini, Pietro Ambeck-Madsen, Jonas Vecchiato, Giovanni Sensors (Basel) Article 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. MDPI 2021-12-07 /pmc/articles/PMC8707223/ /pubmed/34960261 http://dx.doi.org/10.3390/s21248167 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ascari, Luca
Marchenkova, Anna
Bellotti, Andrea
Lai, Stefano
Moro, Lucia
Koshmak, Konstantin
Mantoan, Alice
Barsotti, Michele
Brondi, Raffaello
Avveduto, Giovanni
Sechi, Davide
Compagno, Alberto
Avanzini, Pietro
Ambeck-Madsen, Jonas
Vecchiato, Giovanni
Validation of a Novel Wearable Multistream Data Acquisition and Analysis System for Ergonomic Studies
title Validation of a Novel Wearable Multistream Data Acquisition and Analysis System for Ergonomic Studies
title_full Validation of a Novel Wearable Multistream Data Acquisition and Analysis System for Ergonomic Studies
title_fullStr Validation of a Novel Wearable Multistream Data Acquisition and Analysis System for Ergonomic Studies
title_full_unstemmed Validation of a Novel Wearable Multistream Data Acquisition and Analysis System for Ergonomic Studies
title_short Validation of a Novel Wearable Multistream Data Acquisition and Analysis System for Ergonomic Studies
title_sort validation of a novel wearable multistream data acquisition and analysis system for ergonomic studies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8707223/
https://www.ncbi.nlm.nih.gov/pubmed/34960261
http://dx.doi.org/10.3390/s21248167
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