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新型可穿戴多数据流采集与分析系统在工效学研究中的验证。

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

机构信息

Henesis s.r.l., 43123 Parma, Italy.

Camlin Italy s.r.l., 43123 Parma, Italy.

出版信息

Sensors (Basel). 2021 Dec 7;21(24):8167. doi: 10.3390/s21248167.

DOI:10.3390/s21248167
PMID:34960261
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8707223/
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.

摘要

如今,人们对日常生活场景中生理数据和人类行为的收集越来越感兴趣,同时,记录大脑和身体信号的无线设备也越来越多。然而,这些解决方案的技术问题往往限制了在真实场景中进行全脑相关评估。在这里,我们介绍了 Biohub 平台,这是一个硬件/软件 (HW/SW) 集成的可穿戴多流同步采集系统。该系统由现成的硬件和最先进的开源软件组件组成,高度集成到一个高科技低成本的解决方案中,完整且易于在传统实验室之外使用。它灵活地与多种设备合作,无论制造商如何,都能克服记录设备可能有限的资源。通过对(i)多流同步、(ii)与医疗级高密度设备相比的实验室脑电图 (EEG) 记录以及(iii)实际驾驶条件下的脑机接口 (BCI) 的质量进行表征,验证了 Biohub 系统。结果表明,该系统可以可靠地以高精度采集多个数据流并记录标准质量的 EEG 信号,成为一种可用于先进人机工程学研究的有效设备,例如驾驶、远程康复和职业安全。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e741/8707223/1824b22bf687/sensors-21-08167-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e741/8707223/06689bbcf691/sensors-21-08167-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e741/8707223/ffb15fd3e61d/sensors-21-08167-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e741/8707223/122b89e86ccb/sensors-21-08167-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e741/8707223/acb08dedd257/sensors-21-08167-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e741/8707223/3c92c3877a34/sensors-21-08167-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e741/8707223/17e31d840aaf/sensors-21-08167-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e741/8707223/3ecd9042b738/sensors-21-08167-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e741/8707223/1824b22bf687/sensors-21-08167-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e741/8707223/06689bbcf691/sensors-21-08167-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e741/8707223/ffb15fd3e61d/sensors-21-08167-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e741/8707223/122b89e86ccb/sensors-21-08167-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e741/8707223/acb08dedd257/sensors-21-08167-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e741/8707223/3c92c3877a34/sensors-21-08167-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e741/8707223/17e31d840aaf/sensors-21-08167-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e741/8707223/3ecd9042b738/sensors-21-08167-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e741/8707223/1824b22bf687/sensors-21-08167-g008.jpg

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