Enviaments recents

  • IoT gas sensors array for unobtrusive tracking of cooking activity 

    Haddi, Zouhair; Llano Viles, Joshua; Alfaras Espinàs, Miquel; Marín López, Daniel; Perera Lluna, Alexandre; Fernández García, Jose Alberto; Llauradó, Xavier; Avellana, Narcís; Fonollosa Magrinyà, Jordi; Llobet Valero, Eduard (Institute of Electrical and Electronics Engineers (IEEE), 2023)
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    Recent research on remote tracking environments has strengthened smart home IoT ecosystems by the integration of multiple sensing tools that capture not only contextual data in a private setting, but also information about ...
  • Safe reinforcement learning using formal verification for tissue retraction in autonomous robotic-assisted surgery 

    Pore, Ameya Ravindra; Corsi, Davide; Marchesini, Enrico; Dall'Alba, Diego; Casals Gelpí, Alicia; Farinelli, Alessandro; Fiorini, Paolo (2021)
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    Deep Reinforcement Learning (DRL) is a viable solution for automating repetitive surgical subtasks due to its ability to learn complex behaviours in a dynamic environment. This task automation could lead to reduced surgeon’s ...
  • On the application of short-term heart rate variability indices to track changes in cognitive arousal 

    Mohammadpoor Faskhodi, Mahtab; García González, Miguel Ángel (SciTePress, 2023)
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    Studies have demonstrated that Heart Rate Variability (HRV) can be utilized as an effective tool for monitoring the level of arousal. The autonomic nervous system (ANS) is frequently measured by heart rate and principally ...
  • Colonoscopy navigation using end-to-end deep visuomotor control: a user study 

    Pore, Ameya Ravindra; Finocchiaro, Martina; Dall'Alba, Diego; Hernansanz Prats, Alberto; Ciuti, Gastone; Arezzo, Alberto; Casals Gelpí, Alicia; Menciassi, Arianna; Fiorini, Paolo (2022)
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    Flexible endoscopes for colonoscopy present several limitations due to their inherent complexity, resulting in patient discomfort and lack of intuitiveness for clinicians. Robotic devices together with autonomous control ...
  • Numerical simulation of the micro-extrusion process of printable biomaterials 

    Amani, Ahmad; Kizildag, Deniz; Castro González, Jesús; Mazo Barbara, Laura del; Pegueroles Neyra, Marta; Ginebra Molins, Maria Pau (Scipedia, 2022)
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    This work aims to gain a better understanding of how the rheological properties of printable materials affect their processability, as well as the quality of the final product, which at the end can lead to reducing time ...
  • Learning from demonstrations for autonomous soft-tissue retraction 

    Pore, Ameya Ravindra; Tagliabue, Eleonora; Piccinelli, Marco; Dall'Alba, Diego; Casals Gelpí, Alicia; Fiorini, Paolo (2021)
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    The current research focus in Robot-Assisted Minimally Invasive Surgery (RAMIS) is directed towards increasing the level of robot autonomy, to place surgeons in a supervisory position. Although Learning from Demonstrations ...
  • Immediate Biomechanical Effects of Providing Adaptive Assistance with an Ankle Exoskeleton in Individuals after Stroke 

    Miguel Fernández, Jesús de; Pescatore, Camille; Mesa Garrido, Alba; Rikhof, Cindy; Prinsen, Erik; Font Llagunes, Josep Maria; Lobo Prat, Joan (Institute of Electrical and Electronics Engineers (IEEE), 2022)
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    Recent studies on ankle exoskeletons have shown the feasibility of this technology for post-stroke gait rehabilitation. The main contribution of the present work is a comprehensive experimental analysis and protocol that ...
  • Cognitive stimulation leads to a long-term brain activation with a spectral shift to higher frequencies in Rett syndrome patients 

    Tost Abadías, Ana; Bachiller Matarranz, Alejandro; García Cazorla, Àngels; Medina Rivera, Inés; Romero Lafuente, Sergio; Mañanas Villanueva, Miguel Ángel (Universidad de Valladolid, 2022)
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    Rett syndrome (RTT) is the second leading cause of mental disability in women and causes a serious neurodevelopmental disorder that leads to a global disability of the individual. Cognitive training has been shown to improve ...
  • Improving the quality of combined TMS-EEG neural recordings: artefact removal and time analysis 

    Mijancos Martínez, Gema; Bachiller Matarranz, Alejandro; Fernández Linsenbarth, Inés; Alonso López, Joan Francesc; Romero Lafuente, Sergio; Molina Rodriguez, Vicente; Mañanas Villanueva, Miguel Ángel (Sociedad Española de Ingeniería Biomédica (SEIB), 2022)
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    Transcranial magnetic stimulation and electroencephalography (TMS-EEG) recordings are key to perform a direct evaluation of cortical function in a non-invasive and task-free manner. For the past few years, it has been used ...
  • Human machine interfaces for robot-assisted colonoscopy: a clinical survey 

    Finocchiaro, Martina; Arezzo, Alberto; Menciassi, Arianna; Casals Gelpí, Alicia; Hernansanz Prats, Alberto; Ciuti, Gastone (EasyChair Publications, 2022)
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    In the last decade, a variety of Human Machine Interfaces (HMI) have been designed for robot assisted colonoscopy, including different input devices, assistive tools and feedback. However, few studies aiming at assessing ...
  • Multi-level-assistance robotic platform for navigation in the urinary system: design and preliminary tests 

    Finocchiaro, Martina; Ha Xuan, Thao; Lazo, Jorge; Lai, Chun-Feng; Ramesh, Sanat; Hernansanz Prats, Alberto; Borghesan, Gianni; Dell'Alba, Diego; Tognarelli, Selene; Rosa, Benoit; Casals Gelpí, Alicia; Padoy, Nicolas; Fiorini, Paolo; Dankelman, Jenny; Van der Porten, Emmanuel; Menciassi, Arianna; De Momi, Elena (2022)
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  • Using temporal electrical impedance spectroscopy measures to differentiate lung pathologies with the 3-electrode method 

    Company Se, Georgina; Nescolarde Selva, Lexa Digna; Rosell Ferrer, Francisco Javier; Riu Costa, Pere Joan; Pajares Ruiz, Virginia; Torrego Fernández, Alfons; Bragós Bardia, Ramon (2022)
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    Minimally invasive lung bioimpedance measurements could serve in the future diagnosis of lung pathologies complementing biopsies and imaging techniques. Through the electrical impedance spectroscopy (EIS) technique using ...

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