Computational approaches to decode grasping force and velocity level in upper-limb amputee from intraneural peripheral signals
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Implantable neural interfaces are an emerging concept which is revolutionizing various domains of medicine and rehabilitation. However, the long-term efficiency and reliability of these devices is often limited, mainly attributed to the fundamental differe ...
Neural interfaces capable of multi-site electrical recording, on-site signal classification, and closed-loop therapy are critical for the diagnosis and treatment of neurological disorders. However, deploying machine learning algorithms on low-power neural ...
Development of neural interface and brain-machine interface (BMI) systems enables the treatment of neurological disorders including cognitive, sensory, and motor dysfunctions. While neural interfaces have steadily decreased in form factor, recent developme ...
High neural selectivity is an important indicator of how well a neural electrode will perform in a clinical setup. Among other factors, neural selectivity of an electrode strongly depends on its implant location. Today, the neural selectivity is evaluated ...
The modulation of the cervical vagus nerve (VN) using neural electrodes has shown great potential to treat cardiovascular, inflammatory, intestinal, or respiratory dysfunctions. Intraneural electrodes have shown great potentials for other neuroprosthetic a ...
Objective.Mobile Brain/Body Imaging (MoBI) frameworks allowed the research community to find evidence of cortical involvement at walking initiation and during locomotion. However, the decoding of gait patterns from brain signals remains an open challenge. ...
Neurointerfaces have acquired major relevance as both rehabilitative and therapeutic tools for patients with spinal cord injury, limb amputations and other neural disorders. Bidirectional neural interfaces are a key component for the functional control of ...
Brain networks are complex dynamical systems in which directed interactions between different areas evolve at the sub-second scale of sensory, cognitive and motor processes. Due to the highly non-stationary nature of neural signals and their unknown noise ...
Objective. Ultrasounds (US) use in neural engineering is so far mainly limited to ablation through high intensity focused ultrasound, but interesting preliminary results show that low intensity low frequency ultrasound could be used instead to modulate neu ...
Most prosthetic limbs can autonomously move with dexterity, yet they are not perceived by the user as belonging to their own body. Robotic limbs can convey information about the environment with higher precision than biological limbs, but their actual perf ...