Zobrazeno 1 - 10 of 411 pro vyhledávání: '"Perpetuini P"'
1
Akademický článek
Predicting Sleep Quality through Biofeedback: A Machine Learning Approach Using Heart Rate Variability and Skin Temperature
Autor: Andrea Di Credico, David Perpetuini, Pascal Izzicupo, Giulia Gaggi, Nicola Mammarella, Alberto Di Domenico, Rocco Palumbo, Pasquale La Malva, Daniela Cardone, Arcangelo Merla, Barbara Ghinassi, Angela Di Baldassarre
Publikováno v: Clocks & Sleep, Vol 6, Iss 3, Pp 322-337 (2024)
Sleep quality (SQ) is a crucial aspect of overall health. Poor sleep quality may cause cognitive impairment, mood disturbances, and an increased risk of chronic diseases. Therefore, assessing sleep quality helps identify individuals at risk and devel
Externí odkaz: https://doaj.org/article/4656ae89c2524598b334b3906f664452
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2
Akademický článek
An Overview of Approaches and Methods for the Cognitive Workload Estimation in Human–Machine Interaction Scenarios through Wearables Sensors
Autor: Sabrina Iarlori, David Perpetuini, Michele Tritto, Daniela Cardone, Alessandro Tiberio, Manish Chinthakindi, Chiara Filippini, Luca Cavanini, Alessandro Freddi, Francesco Ferracuti, Arcangelo Merla, Andrea Monteriù
Publikováno v: BioMedInformatics, Vol 4, Iss 2, Pp 1155-1173 (2024)
Background: Human-Machine Interaction (HMI) has been an important field of research in recent years, since machines will continue to be embedded in many human actvities in several contexts, such as industry and healthcare. Monitoring in an ecological
Externí odkaz: https://doaj.org/article/6fe4beb1d4fa43669c305b2ace598b46
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3
Akademický článek
Unlocking the potential of Kluyveromyces marxianus in the definition of aroma composition of cheeses
Autor: Giorgia Perpetuini, Alessio Pio Rossetti, Arianna Rapagnetta, Rosanna Tofalo
Publikováno v: Frontiers in Microbiology, Vol 15 (2024)
IntroductionThe cheese microbiota is very complex and is made up of technologically-relevant, spoilage, opportunistic and pathogenic microorganisms. Among them lactic acid bacteria and yeasts are the main ones. One of the most interesting dairy yeast
Externí odkaz: https://doaj.org/article/3dcd3f0a566b4ae28b4fca99d712a5df
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4
Akademický článek
Sniffing the wine differences: The role of Starmerella bacillaris biofilm-detached cells
Autor: Alessio Pio Rossetti, Giorgia Perpetuini, Rosanna Tofalo
Publikováno v: Heliyon, Vol 10, Iss 15, Pp e35692- (2024)
This study investigated the impact of 10 strains of Starmerella bacillaris, co-inoculated as planktonic or biofilm-detached cells with Saccharomyces cerevisiae, on the volatilome of a red wine. The wines produced with St. bacillaris biofilm-detached
Externí odkaz: https://doaj.org/article/f441398c0587491ab3947c845fd93800
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5
Akademický článek
Assessment of Voice Disorders Using Machine Learning and Vocal Analysis of Voice Samples Recorded through Smartphones
Autor: Michele Giuseppe Di Cesare, David Perpetuini, Daniela Cardone, Arcangelo Merla
Publikováno v: BioMedInformatics, Vol 4, Iss 1, Pp 549-565 (2024)
Background: The integration of edge computing into smart healthcare systems requires the development of computationally efficient models and methodologies for monitoring and detecting patients’ healthcare statuses. In this context, mobile devices,
Externí odkaz: https://doaj.org/article/27542c014143435485c9ad6c26223b75
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7
Akademický článek
Single-Trial Detection and Classification of Event-Related Optical Signals for a Brain–Computer Interface Application
Autor: Nicole Chiou, Mehmet Günal, Sanmi Koyejo, David Perpetuini, Antonio Maria Chiarelli, Kathy A. Low, Monica Fabiani, Gabriele Gratton
Publikováno v: Bioengineering, Vol 11, Iss 8, p 781 (2024)
Event-related optical signals (EROS) measure fast modulations in the brain’s optical properties related to neuronal activity. EROS offer a high spatial and temporal resolution and can be used for brain–computer interface (BCI) applications. Howev
Externí odkaz: https://doaj.org/article/4c2ea623fa35412187e2f23799396077
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8
Akademický článek
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9
Akademický článek
Integrating Machine Learning with Robotic Rehabilitation May Support Prediction of Recovery of the Upper Limb Motor Function in Stroke Survivors
Autor: Sara Quattrocelli, Emanuele Francesco Russo, Maria Teresa Gatta, Serena Filoni, Raffaello Pellegrino, Leonardo Cangelmi, Daniela Cardone, Arcangelo Merla, David Perpetuini
Publikováno v: Brain Sciences, Vol 14, Iss 8, p 759 (2024)
Motor impairment is a common issue in stroke patients, often affecting the upper limbs. To this standpoint, robotic neurorehabilitation has shown to be highly effective for motor function recovery. Notably, Machine learning (ML) may be a powerful tec
Externí odkaz: https://doaj.org/article/78872d6ebe9c44ce88e76f15b4d1838b
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10
Akademický článek
Data-Driven Identification of Stroke through Machine Learning Applied to Complexity Metrics in Multimodal Electromyography and Kinematics
Autor: Francesco Romano, Damiano Formenti, Daniela Cardone, Emanuele Francesco Russo, Paolo Castiglioni, Giampiero Merati, Arcangelo Merla, David Perpetuini
Publikováno v: Entropy, Vol 26, Iss 7, p 578 (2024)
A stroke represents a significant medical condition characterized by the sudden interruption of blood flow to the brain, leading to cellular damage or death. The impact of stroke on individuals can vary from mild impairments to severe disability. Tre
Externí odkaz: https://doaj.org/article/12d9e04a63304fe8b1cdef359907e332
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