Zobrazeno 1 - 10
of 2 454
pro vyhledávání: '"FARINA, DARIO"'
Autor:
Ibáñez, Jaime, Zicher, Blanka, Burdet, Etienne, Baker, Stuart N., Mehring, Carsten, Farina, Dario
Accurate and robust recording and decoding from the central nervous system (CNS) is essential for advances in human-machine interfacing. However, technologies used to directly measure CNS activity are limited by their resolution, sensitivity to inter
Externí odkaz:
http://arxiv.org/abs/2410.20872
Autor:
Grison, Agnese, Guerra, Irene Mendez, Clarke, Alexander Kenneth, Muceli, Silvia, Pereda, Jaime Ibanez, Farina, Dario
The decomposition of high-density surface electromyography (HD-sEMG) signals into motor unit discharge patterns has become a powerful tool for investigating the neural control of movement, providing insights into motor neuron recruitment and discharg
Externí odkaz:
http://arxiv.org/abs/2410.14800
Autor:
Grison, Agnese, Pereda, Jaime Ibanez, Muceli, Silvia, Kundu, Aritra, Baracat, Farah, Indiveri, Giacomo, Donati, Elisa, Farina, Dario
Decoding nervous system activity is a key challenge in neuroscience and neural interfacing. In this study, we propose a novel neural decoding system that enables unprecedented large-scale sampling of muscle activity. Using micro-electrode arrays with
Externí odkaz:
http://arxiv.org/abs/2410.11016
Autor:
Ferrante, Laura, Boesendorfer, Anna, Barsakcioglu, Deren Yusuf, Baumgartner, Benedikt, Al-Ajam, Yazan, Woollard, Alex, Kang, Norbert Venantius, Aszmann, Oskar, Farina, Dario
Following limb amputation, neural signals for limb functions persist in the residual peripheral nerves. Targeted muscle reinnervation (TMR) allows to redirected these signals into spare muscles to recover the neural information through electromyograp
Externí odkaz:
http://arxiv.org/abs/2410.10694
Autor:
Ma, Shihan, Hu, Bo, Jia, Tianyu, Clarke, Alexander Kenneth, Zicher, Blanka, Caillet, Arnault H., Farina, Dario, Principe, Jose C.
The cortico-spinal neural pathway is fundamental for motor control and movement execution, and in humans it is typically studied using concurrent electroencephalography (EEG) and electromyography (EMG) recordings. However, current approaches for capt
Externí odkaz:
http://arxiv.org/abs/2410.14697
Biosignal acquisition is key for healthcare applications and wearable devices, with machine learning offering promising methods for processing signals like surface electromyography (sEMG) and electroencephalography (EEG). Despite high within-session
Externí odkaz:
http://arxiv.org/abs/2409.08058
Autor:
Clarke, Alexander Kenneth, Grison, Agnese, Guerra, Irene Mendez, Mamidanna, Pranav, Ma, Shihan, Muceli, Silvia, Farina, Dario
A major outstanding problem when interfacing with spinal motor neurons is how to accurately compensate for non-stationary effects in the signal during source separation routines, particularly when they cannot be estimated in advance. This forces curr
Externí odkaz:
http://arxiv.org/abs/2406.19581
Autor:
Wu, Yihan, Chang, Tao, Chen, Siliang, Niu, Xiaodong, Li, Yu, Fang, Yuan, Yang, Lei, Zong, Yixuan, Yang, Yaoxin, Li, Yuehua, Wang, Mengsong, Yang, Wen, Wu, Yixuan, Fu, Chen, Fang, Xia, Quan, Yuxin, Peng, Xilin, Sun, Qiang, Van Hulle, Marc M., Liu, Yanhui, Jiang, Ning, Farina, Dario, Yang, Yuan, He, Jiayuan, Mao, Qing
Glioma cells can reshape functional neuronal networks by hijacking neuronal synapses, leading to partial or complete neurological dysfunction. These mechanisms have been previously explored for language functions. However, the impact of glioma on sen
Externí odkaz:
http://arxiv.org/abs/2405.12144
Autor:
Khan, Shamas Ul Ebad, Varghese, Rejin John, Kassanos, Panagiotis, Farina, Dario, Burdet, Etienne
Space poses significant challenges for human physiology, leading to physiological adaptations in response to an environment vastly different from Earth. While these adaptations can be beneficial, they may not fully counteract the adverse impact of sp
Externí odkaz:
http://arxiv.org/abs/2404.03363
Autor:
Varghese, Rejin John, Pizzi, Matteo, Kundu, Aritra, Grison, Agnese, Burdet, Etienne, Farina, Dario
Publikováno v:
Sensors 2024, 24, 1810
The adoption of high-density electrode systems for human-machine interfaces in real-life applications has been impeded by practical and technical challenges, including noise interference, motion artifacts and the lack of compact electrode interfaces.
Externí odkaz:
http://arxiv.org/abs/2403.20117