Ilaria Siviero
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Explore the profile of Ilaria Siviero including associated specialties, affiliations and a list of published articles.
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Recent Articles
1.
Siviero I, Helmhold F, Ray A, Bibian C, Menegaz G, Murguialday A, et al.
Annu Int Conf IEEE Eng Med Biol Soc
. 2025 Mar;
2024:1-4.
PMID: 40040042
Technology for motor rehabilitation faces challenges in uncontrolled settings, such as at home. In these real-world scenarios, robust signals like electromyographic (EMG) and inertial measurement unit (IMU) data are crucial...
2.
Cinquetti E, Siviero I, Babiloni F, Menegaz G, Storti S
Annu Int Conf IEEE Eng Med Biol Soc
. 2025 Mar;
2024:1-4.
PMID: 40039137
Brain-computer interfaces based on electroencephalography (EEG) recordings are gaining increasing interest in the industrial domain, aiming to enhance health, safety and performance by optimizing the cognitive load of industrial operators...
3.
Paolini E, Siviero I, Bonfanti D, Menegaz G, Savazzi S, Mazzi C, et al.
Annu Int Conf IEEE Eng Med Biol Soc
. 2025 Mar;
2024:1-4.
PMID: 40039064
Exploring brain connectivity is made possible through the combination of transcranial magnetic stimulation and electroencephalography (TMS-EEG) signals. While previous research has investigated hemispheric asymmetries in signal propagation at the electrode...
4.
Camerlingo N, Siviero I, Vettoretti M, Sparacino G, Del Favero S, Facchinetti A
Front Bioeng Biotechnol
. 2023 Dec;
11:1280233.
PMID: 38076424
The retrospective analysis of continuous glucose monitoring (CGM) timeseries can be hampered by colored and non-stationary measurement noise. Here, we introduce a Bayesian denoising (BD) algorithm to address both autocorrelation...
5.
Siviero I, Bonfanti D, Menegaz G, Savazzi S, Mazzi C, Storti S
Sensors (Basel)
. 2023 Nov;
23(21).
PMID: 37960532
(1) Background: Transcranial magnetic stimulation combined with electroencephalography (TMS-EEG) provides a unique opportunity to investigate brain connectivity. However, possible hemispheric asymmetries in signal propagation dynamics following occipital TMS have not...
6.
Siviero I, Menegaz G, Storti S
Sensors (Basel)
. 2023 Sep;
23(17).
PMID: 37687976
(1) Background: in the field of motor-imagery brain-computer interfaces (MI-BCIs), obtaining discriminative features among multiple MI tasks poses a significant challenge. Typically, features are extracted from single electroencephalography (EEG) channels,...