A real-time research platform to study vestibular implants with gyroscopic inputs in vestibular deficient subjects

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Over the last decades, implantable neural interfaces have been extensively explored and effectively deployed to address neurological and mental health disorders. The existing solutions present several limitations. Firstly, the physical size of the implanta ...

Compute memories are memory arrays augmented with dedicated logic to support arithmetic. They support the efficient execution of data-centric computing patterns, such as those characterizing Artificial Intelligence (AI) algorithms. These architectures can ...

The peripheral nervous system (PNS) regulates the exchange of sensory information and motor commands between the body and the central nervous system. Further, through the autonomic nervous system, the PNS plays a pivotal role in controlling vital physiolog ...

Objective. Peripheral nerve interfaces have the potential to restore sensory, motor, and visceral functions. In particular, intraneural interfaces allow targeting deep neural structures with high selectivity, even if their performance strongly depends upon ...

Exosuits typically provide limited mechanical support and rely on a user's residual functional ability. However, people with neurological impairments often suffer from both motor and sensory deficits that limit the assistance an exosuit can provide. To ove ...

"Ensure healthy lives and promote well-being for all at all ages" is the third sustainable development goal for the United Nations Agenda of 2030. This doctoral thesis fully embodied this objective by targeting stroke, a leading cause of death and disabili ...

Treatment-resistant depression is a severe form of major depressive disorder and deep brain stimulation is currently an investigational treatment. The stimulation's therapeutic effect may be explained through the functional and structural connectivities be ...

Objective. Powered lower-limb prostheses relying on decoding motor intentions from non-invasive sensors, like electromyographic (EMG) signals, can significantly improve the quality of life of amputee subjects. However, the optimal combination of high decod ...

Implanted brain electrodes provide a unique way of electrically interfacing with individual neurons in vivo. However, chronic recording or stimulating capabilities of neural implants are often impaired by a strong immune response resulting in a fibrous sca ...

Facial paralysis is a highly burdening condition, resulting in a patient's inability to move his mimic musculature on one or both sides of his face. This condition compromises the patient's communication and facial expressions, and thus dramatically reduce ...

A real-time research platform to study vestibular implants with gyroscopic inputs in vestibular deficient subjects

Chat with Graph Search

Miniaturised, Wireless and Distributed Neural Interface Toward Cortical Visual Prosthesis

Overflow-free compute memories for edge AI acceleration

Soft bioelectronic technologies for selective and multimodal peripheral nerve interfaces

Combining biophysical models and machine learning to optimize implant geometry and stimulation protocol for intraneural electrodes

Sensory-Motor Neurostimulation to Enhance Exosuit Performance

Combination of Neurotechnologies Towards Personalized Neurorehabilitation for Stroke Patients

Linking connectivity of deep brain stimulation of nucleus accumbens area with clinical depression improvements: a retrospective longitudinal case series

Early decoding of walking tasks with minimal set of EMG channels

Engineering Hydrogel-coated Neural Interfaces for Chronic Deep Brain Recording

Real-time actuation of a dielectric elastomer actuator neuroprosthesis for facial paralysis