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Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.</p> </div> <div class="col-md-3 customizableLogo"> <img class="float-end" src="/sr/logo_instance.png" id="clientLogoImg" alt="IRIS"> </div> </div> </div><div class="container-xxl ps-0 pe-0 layout-no-sidebar" id="mainContainerDiv"> <main class="layout-main" id="content"> <div class="container-fluid page-content"> <div class="row"> <div class="col-lg-12 mt-2"> <div class="card border-primary"> <div id="recent-submissions-carousel" class="card-header bg-white text-primary"> <h3> Prodotti recenti <div class="float-end"> </div> </h3> </div> <div class="card-body carousel carousel-dark slide" data-bs-ride="carousel" id="recentSubmissionCarousel"> <div class="carousel-indicators"> <button type="button" data-bs-target="#recentSubmissionCarousel" data-bs-slide-to="0" class="active" aria-current="true" aria-label="Slide 1"></button> <button type="button" data-bs-target="#recentSubmissionCarousel" data-bs-slide-to="1" aria-current="true" aria-label="Slide 2"></button> <button type="button" data-bs-target="#recentSubmissionCarousel" data-bs-slide-to="2" aria-current="true" aria-label="Slide 3"></button> <button type="button" data-bs-target="#recentSubmissionCarousel" data-bs-slide-to="3" aria-current="true" aria-label="Slide 4"></button> <button type="button" data-bs-target="#recentSubmissionCarousel" data-bs-slide-to="4" aria-current="true" aria-label="Slide 5"></button> </div> <div class="carousel-inner"> <div style="min-height: 200px;" class="carousel-item active"> <h5><a href="/handle/11382/576412">Smart Transfemoral Prosthetic Socket with Motorized Cable‐Driven System</a></h5> <p></p> </div> <div style="min-height: 200px;" class="carousel-item "> <h5><a href="/handle/11382/576403">On the use of power-based connectivity between EEG and sEMG signals for three-weight classification during object manipulation tasks</a></h5> <p>Purpose: Brain-machine interfaces (BMIs) have been used for motor rehabilitation of complex movements, such as those based on object manipulation. However, task identification during these movements remains a challenge in the scientific community. Recent research has suggested that corticomuscular connectivity may enhance the BMIs’ performance in task identification. Therefore, this study presents an algorithm that uses power-based connectivity (PBC) as a descriptor to improve the classificat...</p> </div> <div style="min-height: 200px;" class="carousel-item "> <h5><a href="/handle/11382/576402">Evaluation of temporal, spatial and spectral filtering in CSP-based methods for decoding pedaling-based motor tasks using EEG signals</a></h5> <p>Stroke is a neurological syndrome that usually causes a loss of voluntary control of lower/upper body movements, making it difficult for affected individuals to perform Activities of Daily Living (ADLs). Brain-Computer Interfaces (BCIs) combined with robotic systems, such as Motorized Mini Exercise Bikes (MMEB), have enabled the rehabilitation of people with disabilities by decoding their actions and executing a motor task. However, Electroencephalography (EEG)-based BCIs are affected by the ...</p> </div> <div style="min-height: 200px;" class="carousel-item "> <h5><a href="/handle/11382/576401">Methodology based on machine learning through neck motion and POF-based pressure sensors for wheelchair operation</a></h5> <p>Polymer Optical Fiber (POF)-based sensors have gained recognition in recent years for biomedical applications because of their low cost, physical properties, and feasibility. A novel methodology is proposed here for classifying neck movements using POF- based pressure sensors and machine learning algorithms. To address this, signal pre-processing, feature extraction, and selection methods are implemented, considering variance, root mean square, and Hjorth parameters. Linear Discriminant Analy...</p> </div> <div style="min-height: 200px;" class="carousel-item "> <h5><a href="/handle/11382/576400">Classification algorithm for wheelchair operation in real conditions using POF-based pressure sensors</a></h5> <p>A real-time implementation of a classification system is proposed here to operate an electric-powered wheelchair. The proposed framework innovatively integrates Polymeric Optical Fiber (POF)-based pressure sensors, positioned within a neck pillow, to effectively capture critical user-specific pressure data emanating from the user's neck region. The system considered the mechanical variations presented in the dataset construction owing to the movement generated by the wheelchair. To mitigate t...</p> </div> </div> <button class="carousel-control-prev" type="button" data-bs-target="#recentSubmissionCarousel" data-bs-slide="prev"> <span class="carousel-control-prev-icon" aria-hidden="true"></span> <span class="visually-hidden">precedente</span> </button> <button class="carousel-control-next" type="button" data-bs-target="#recentSubmissionCarousel" data-bs-slide="next"> <span class="carousel-control-next-icon" aria-hidden="true"></span> <span class="visually-hidden">successivo</span> </button> </div> </div> </div> <div id="facetPageTitle" class="col-lg-12 mt-3"> <h5 class="d-flex align-items-center">Scopri<span class="ms-2 flex-fill card-header-line"/></h5> </div> <div id="facet_typeFull" class="col-lg-3"> <div class="mt-5 card"> <div class="card-header bg-white text-primary"> <div class="text-center"> <div class="card-header-with-dot"> <span class="card-header-dot"> <i class="fas fa-font"></i> </span> </div> <h5 class="mb-1">Tipologia</h5> </div> </div> <ul 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