Next Article in Journal
Rotating Machinery Fault Diagnosis Method by Combining Time-Frequency Domain Features and CNN Knowledge Transfer
Next Article in Special Issue
Evaluation of a New Simplified Inertial Sensor Method against Electrogoniometer for Measuring Wrist Motion in Occupational Studies
Previous Article in Journal
Thin-Film-Based SAW Magnetic Field Sensors
Previous Article in Special Issue
Forces: A Motion Capture-Based Ergonomic Method for the Today’s World
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Sensors
Volume 21
Issue 24
10.3390/s21248167
sensors-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

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

by
Luca Ascari
1,2,*,
Anna Marchenkova
3,
Andrea Bellotti
1,
Stefano Lai
1,
Lucia Moro
2,
Konstantin Koshmak
2,
Alice Mantoan
1,
Michele Barsotti
1,
Raffaello Brondi
2,
Giovanni Avveduto
1,
Davide Sechi
1,
Alberto Compagno
1,
Pietro Avanzini
3,
Jonas Ambeck-Madsen
4 and
Giovanni Vecchiato
3,*
1
Henesis s.r.l., 43123 Parma, Italy
2
Camlin Italy s.r.l., 43123 Parma, Italy
3
Institute of Neuroscience, National Research Council of Italy, 43125 Parma, Italy
4
Toyota Motor Europe, 1114 Bruxelles, Belgium
*
Authors to whom correspondence should be addressed.
Sensors 2021, 21(24), 8167; https://doi.org/10.3390/s21248167
Submission received: 29 October 2021 / Revised: 30 November 2021 / Accepted: 3 December 2021 / Published: 7 December 2021
(This article belongs to the Special Issue Advances in Design and Integration of Wearable Sensors for Ergonomics)
Browse Figures
Versions Notes

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.
Keywords: wearable device; ergonomics; EEG; bio-potentials; behavior wearable device; ergonomics; EEG; bio-potentials; behavior

Share and Cite

MDPI and ACS Style

Ascari, L.; Marchenkova, A.; Bellotti, A.; Lai, S.; Moro, L.; Koshmak, K.; Mantoan, A.; Barsotti, M.; Brondi, R.; Avveduto, G.; et al. Validation of a Novel Wearable Multistream Data Acquisition and Analysis System for Ergonomic Studies. Sensors 2021, 21, 8167. https://doi.org/10.3390/s21248167

AMA Style

Ascari L, Marchenkova A, Bellotti A, Lai S, Moro L, Koshmak K, Mantoan A, Barsotti M, Brondi R, Avveduto G, et al. Validation of a Novel Wearable Multistream Data Acquisition and Analysis System for Ergonomic Studies. Sensors. 2021; 21(24):8167. https://doi.org/10.3390/s21248167

Chicago/Turabian Style

Ascari, Luca, Anna Marchenkova, Andrea Bellotti, Stefano Lai, Lucia Moro, Konstantin Koshmak, Alice Mantoan, Michele Barsotti, Raffaello Brondi, Giovanni Avveduto, and et al. 2021. "Validation of a Novel Wearable Multistream Data Acquisition and Analysis System for Ergonomic Studies" Sensors 21, no. 24: 8167. https://doi.org/10.3390/s21248167

APA Style

Ascari, L., Marchenkova, A., Bellotti, A., Lai, S., Moro, L., Koshmak, K., Mantoan, A., Barsotti, M., Brondi, R., Avveduto, G., Sechi, D., Compagno, A., Avanzini, P., Ambeck-Madsen, J., & Vecchiato, G. (2021). Validation of a Novel Wearable Multistream Data Acquisition and Analysis System for Ergonomic Studies. Sensors, 21(24), 8167. https://doi.org/10.3390/s21248167

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop