1,720,988 research outputs found
A wearable EEG instrument for real-time frontal asymmetry monitoring in worker stress analysis
Full text linkA highly-wearable single–channel instrument, conceived with off-the-shelf components and dry electrodes, is proposed for detecting human stress in real time by electroencephalography (EEG). The instrument exploits EEG robustness to movement artifacts with respect to other biosignals for stress assessment. The single-channel differential measurement aims at analyzing the frontal asymmetry, a well-claimed EEG feature for stress assessment. The instrument was characterized metrologically on human subjects. As triple metrological references, standardized stress tests, observational questionnaires given by psychologists, and performance measurements were exploited. Four standard machine learning classifiers (SVM, k-NN, Random Forest, and ANN), trained on 50% of the data set, reached more than 90% accuracy in classifying each 2-s epoch of EEG acquired from stressed subjects
A preliminary discussion of measurement and networking issues in cyber physical systems for industrial manufacturing
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Exploring the Relationship Between Performance and Environmental Sustainability in Measurement Systems: A Preliminary Study
No full textExploring the Latent Space of Person-Specific Convolutional Autoencoders for Eye-Blink Artefact Mitigation in EEG Signals
No full textElectroencephalography (EEG) is a non-invasive and
cost-effective technique that allows the investigation of brain
activity. However, EEG recordings often suffer from artefacts
that complicate signal analysis. Eye-blink artefacts pose a sig
nificant challenge among these artefacts due to their frequency
overlap with neural signals. Machine Learning, notably semi
supervised Autoencoders (AEs), appears promising in removing
EEGartefacts. This research investigates the use of Convolutional
Autoencoders (CAEs) for mitigating eye blinks in EEG signals,
deviating from a previous use of Convolutional Variational AEs.
This shift can offer a simpler approach with reduced computa
tional complexity. Specifically, the latent space of CAEs, trained
on spatially preserving EEG topographic maps, was explored
to identify latent components selective for eye blinks. Receiver
Operating Characteristic (ROC) curves and Area Under the
Curve (AUC) were employed to evaluate each latent component’s
discriminative performance. The most discriminative component,
determined by the highest AUC, is subsequently modified to
mitigate eye blinks. Specifically, the median is chosen to mask
this discriminative latent component for blink artefact removal.
Visual inspections and Pearson correlation indices between the
original EEG signal and the reconstructed clean version were
used to evaluate the effectiveness of artefact removal. This study
contributes to the knowledge for introducing an offline pipeline
able to detect and remove eye blinks from EEG recordings
without human intervention
On the use of soft continuum robots for remote measurement tasks in constrained environments: A brief overview of applications
No full textSoft continuum robots provide high dexterity in constrained spaces, while guaranteeing a compliant interaction with the surrounding environment. Over the last years, they have been used to improve many manipulation tasks, going from maintenance, inspection and repair in industrial-related environments to minimally invasive surgery in the medical field. This paper investigates the use of soft continuum robots for remote measurement tasks, and focuses on the following application scenarios where they have already demonstrated their benefits: space, aerospace, nuclear, marine and medical fields. The limitations of existing applications and perspectives of future directions are also discussed
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Portable Microwave Reflectometry System for Skin Sensing
No full textIn spite of the technological advancement of the healthcare system, monitoring skin hydration still remains a challenging task. In particular, the state-of-the-art solutions are inadequate to obtain continuous real-time monitoring, especially in a wearable perspective. Starting from these considerations, this article addresses the implementation of an innovative wearable device that can monitor skin hydration through microwave reflectometry technique. To this purpose, a new flexible wearable sensing element (SE) was designed, manufactured, and validated to sense variation of skin hydration of the body, ensuring simultaneously a better wearability, and surface adherence to the skin. The system was preliminarily validated through a numerical analysis and then experimental tests were carried out through a low-cost portable vector network analyzer (VNA), which is particularly convenient in view of fully-wearable applications and comparable, from the metrological point of view to more expensive VNAs operating in the frequency range of interest. Results showed that the proposed SE configuration and the low-cost VNA hold potential for achieving a fully-wearable system for monitoring skin hydration
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